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We understand that like real 
time capabilities are extremely 

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important to prevent reaches, 
stop reaches and remediate them.

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So we have two core capabilities
there that I think are different

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from the others. 
One, we use LLMS to improve the 

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visibility and posture 
capabilities that you have 

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compared to your standard IGA 
and Palm tools today. 

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But then 2, we are able to do 
real time detection and response

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to identity based threats. 
And this makes it so that you 

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you're able to catch anything 
that your identity like 

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governance program might might 
have missed or anywhere anybody 

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that gets fished, stolen 
credentials, stolen tokens and 

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so on. 
The ability to do it real time 

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is something that we think is is
lacking in industry. 

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This is identity at the center 
if it has anything to do with 

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IAM. 
This is the go to podcast now 

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your hosts Jim McDonald and Jeff
Stedman. 

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Welcome to the Identity at the 
Center podcast. 

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I'm Jeff, and that's Jim. 
Hey, Jim. 

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Hey, Jeff, how are you? 
Oh, not so bad yourself. 

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Good. 
I'm excited for today's episode.

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I think the the focus for me is 
innovation. 

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I talked to a lot of folks who 
are listeners of the show. 

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They want to know what are the 
new innovations that are 

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happening? 
What are the new products that 

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are bringing innovation into the
world of I am. 

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So we're going to get into this 
today. 

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Yeah, for sure. 
Today's a sponsored episode. 

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So making that very clear up 
front, these are episodes where 

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we dive a little bit deeper into
the technologies and the the 

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players in the space. 
And there are a lot of them. 

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So I'm glad that we're able to 
get some of these folks on and 

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kind of explain, OK, where are 
they coming from, their 

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viewpoints and things like that.
So just make it crystal clear, 

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right? 
This is sponsored episode today.

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We're sponsored by slash ID. 
They're an identity platform to 

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protect human and non human 
identities. 

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You can find out more about them
at slashid.com/IDAC. 

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And we've got Vincenzo Yoso 
today. 

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He's the CEO at slash ID Welcome
Vincenzo. 

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And hopefully I didn't butcher 
your last name. 

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You didn't. 
I'm very impressed. 

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All right. 
Well, we're starting off on a 

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great note. 
One of the things we also like 

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to do before we start to get 
into any sort of conversations, 

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really find out about the 
backgrounds of the people that 

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we talked to that are in the 
identity space. 

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It's a wide and varied space. 
You've got an interesting 1, so 

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let's start there. 
How did you get into the digital

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identity space? 
Is this something that you chose

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or did it choose you? 
It definitely choose me. 

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So I have. 
I have a bit of a, a strange 

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background compared to a lot of 
like your guests in that I, I 

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started my career in sort of 
like the offensive security side

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of things and then over time got
a closer and closer to identity.

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So my original background is in 
security research. 

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I used to work on 
vulnerabilities and exploits for

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endpoints. 
Fast forward, I spent a number 

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of years at Crowd Strike and one
of the products that I was 

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involved with at crowd Strike 
was the identity protection 

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product. 
And that's how I started to be 

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involved in, in the identity 
space. 

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But it's always, it's always has
been more from my security 

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standpoint rather than a 
traditional identity background.

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And so you take that attack 
mindset, no better way to start 

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with, like, how do we defend 
against attackers? 

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And you also do some work, I 
think, with Black Hat, right? 

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As I was just kind of stalking 
you on LinkedIn a little bit. 

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Tell me about your Black Hat 
involvement. 

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Yeah. 
So I mean, when I, when I 

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started back in the days on the 
security kind of like researcher

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track, I used to do a lot of 
like presentations on attacks 

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and then like exploitation 
techniques. 

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And that's how I got involved 
with Blackett at the beginning. 

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And then I have stayed involved 
throughout the years to give 

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back to the community and make 
sure that like we still have 

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like vibrant talks and and 
interesting tracks at the 

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conference. 
So I've been put to Black Hat in

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the past. 
It's been a couple years. 

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I always kind of enjoyed it and 
I've seen some interesting 

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things there. 
Maybe if we have time towards 

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the end, I'll ask you like what 
are some things maybe that 

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you've seen that might be kind 
of interesting there. 

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But let's talk about slash ID. 
So what is slash Idi guess? 

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Tell us a little bit about the 
the organization that you're 

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building there and the 
technology that you're bringing 

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to the digital identity market. 
Yeah. 

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So as I mentioned, we, we come 
to the space from from our 

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security background and what we 
thought was missing when when we

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started a company were were 
really two things. 

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One, everyone we spoke with had 
problems with IGA processes in 

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the in the sense that they 
weren't particularly effective. 

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You had a lot of failed 
implementations and so on. 

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But more importantly, we had 
started to see most reaches a 

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crowd strike being identity 
related where at least either 

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the initial vector or at some 
point throughout the kill chain 

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you add an identity component. 
And none of the existing 

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products were focused on 
identity security rather than 

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compliance and management. 
So tell me about the name, 

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because slash ID is kind of 
unique and like there's there's 

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usually a story behind 
something. 

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How did you come up with slash 
ID? 

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Yeah. 
So what we wanted to convey with

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the with the name similar to, I 
don't know if you, if you've 

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ever read the story of Stripe, 
but their first name was slash 

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payment. 
And the idea there was to bring 

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kind of like payments to 
developers and engineers. 

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And what we wanted to do from 
day one is to build a platform 

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that was friendly to security 
engineers and practitioners, not

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just sort of like that click OPS
kind of kind of like kind of 

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product. 
So I have to say, right, there's

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a ton of products in this space 
of digital identity, too many 

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almost to keep up with. 
And so there's a lot of 

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competition. 
You know, I'm curious from your 

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perspective, what is it that you
think sets slash ID apart from 

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your contemporaries? 
You know, I guess the the blunt 

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version is what makes you 
special. 

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Yeah. 
So I think it's it's really two 

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things. 1 is a lot of the other 
companies in the space focus on 

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a static view of the identity, 
whereas coming from a security 

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background, we understand it 
like real time capabilities are 

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extremely important to prevent 
breaches, stop breaches and 

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remediate them. 
So we have two core capabilities

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there that I think are different
from the others. 

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One, we use LMS to improve the 
visibility and posture 

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capabilities that you have 
compared to your standard IGA 

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and pump tools today. 
But then two, we are able to do 

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real time detection and response
to identity based threats. 

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And this makes it so that you 
you're able to catch anything 

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that your identity like 
governance program might might 

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00:07:07,960 --> 00:07:12,200
have missed or anywhere anybody 
that gets fished, stolen 

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credentials, stolen tokens and 
so on. 

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The ability to do it real time 
is something that we think is is

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lacking in industry. 
So Vincenzo, the question I was 

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going to ask you was because 
most of the time when I talk to 

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entrepreneurs in this space, 
there's something that they 

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recognize in the industry that's
kind of overlooked or that they 

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feel they could bring a fresh 
solution to fix a problem. 

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The question I was going to ask 
you is what drew you in? 

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But I think you answered that 
when you talked to to Jeff 

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about, you know, the the IGA 
situation, not really solving 

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the problem. 
I think you talked about the the

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breaches being mostly identity 
related. 

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So I want to pick on those two 
areas. 

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And I've heard it said that, you
know, the IGA solutions are 

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better for driving compliance 
than solving real security 

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issues. 
So the first is that's something

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you agree with and and why it? 
Why is that the case in your 

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opinion? 
Yeah, 100%. 

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I mean, when you look at the 
history of IGA and I think you 

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had guests on on on the podcast 
that were sort of like the, the 

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real, the, the creators of of 
IGA as a space. 

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It was primarily been driven by 
compliance needs in the wake of 

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Enron and similar like 
fraudulent activities for public

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companies. 
So the approach you take when 

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when you use governance is a 
very prescriptive, policy based 

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approach that doesn't, doesn't 
really work when you deal with 

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attacks, stereo dynamic in 
nature. 

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And what attackers really try to
do is to look for gaps in your 

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posture. 
And it's something that a 

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governance platform is not 
actually able to react to in a 

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timely manner. 
Yeah. 

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And so, I mean, I kind of feel 
like it's this isn't a black and

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white situation, right. 
I think most of the compliance 

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regulations try to drive better 
security through compliance 

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through kind of these governance
processes. 

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So they at least incrementally 
make security better, going in 

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and checking to make sure people
have only the access that they 

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should have. 
But it seems like most of the 

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processes from a governance 
perspective are detective and 

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they could be, you know, not 
performed until some periodic 

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basis, right? 
Maybe it's once a year. 

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So checking a list of accounts 
to make sure that they have the 

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right entitlements once a year 
is good, but not great. 

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Exactly. 
I, I think you're far on Jim, 

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like when you, when you, when 
you look at the problem is an 

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attacker breaks into an 
environment at any point in 

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time, right. 
They they don't wait for the 

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compliance audit to come due. 
And what you see in complex 

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organizations is that these 
entitlements change by the day. 

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And so taking a snapshot once a 
year or one supporter is nowhere

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near enough to be able to detect
and attack in real time on top 

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of it. 
And I'm sure you've seen this as

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well. 
A lot of IGA has become so 

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complex. 
There's often, there's often 

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just a check box exercise where 
some manager just says, yes, 

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this, this person on my team 
should have access to the 

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system, but they don't have the 
ability to really know how our 

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buck works in that system, what 
entitlements really mean and and

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so on. 
So you have this double whammy 

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where snapshot based solutions 
are not moving fast enough 

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compared to attackers. 
And on the flip side, the 

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complexity of these systems is 
such that even when you do take 

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a snapshot to make sure that 
you're compliant, often the the,

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00:11:06,600 --> 00:11:10,360
the, the degree of access 
control that you can really do 

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is a lot less than what you need
for proper security because it's

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too complicated to understand 
the authorization model of each 

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00:11:18,000 --> 00:11:19,480
individual application that 
you're dealing with. 

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Yeah. 
I mean, as you're talking, I'm 

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sitting here thinking of one of 
the biggest faux pas within kind

200
00:11:26,400 --> 00:11:31,400
of the idea of governance, which
is rubber stamping. 

201
00:11:31,840 --> 00:11:35,360
I mean, I think what happens in 
organizations is there's two 

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00:11:35,360 --> 00:11:41,480
major problems. 1 is the 
entitlement system is so complex

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00:11:41,480 --> 00:11:46,400
that people don't really 
understand that Vincenzo has XYZ

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access. 
Is that appropriate? 

205
00:11:48,960 --> 00:11:52,080
Well, if you put that in front 
of the wrong person or somebody 

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00:11:52,080 --> 00:11:55,920
who doesn't know what XYZ access
really means, they say, well, 

207
00:11:55,920 --> 00:11:59,280
Vincenzo is a good guy, he 
wouldn't do anything wrong. 

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00:11:59,600 --> 00:12:03,680
And so they just say keep it or 
they're afraid that they take it

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00:12:03,680 --> 00:12:05,920
off. 
The company's going to stop 

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00:12:05,920 --> 00:12:08,960
being able to pay invoices or 
something, something crazy, 

211
00:12:08,960 --> 00:12:13,880
right? 
So there's the not having enough

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00:12:13,880 --> 00:12:16,880
information around entitlement. 
So the other thing that I find 

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00:12:17,040 --> 00:12:22,760
you don't hear talk about much 
is that a lot of the decision 

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00:12:22,760 --> 00:12:25,960
making is consolidated in very 
few hands. 

215
00:12:25,960 --> 00:12:32,520
So one person might be reviewing
access for too many people, too 

216
00:12:32,520 --> 00:12:38,840
many applications and it becomes
IAM overload for them. 

217
00:12:38,840 --> 00:12:43,200
So they're being asked to do all
these reviews and they're often 

218
00:12:43,280 --> 00:12:46,720
the most busy people in the 
organization to begin with. 

219
00:12:46,960 --> 00:12:50,720
So now rubber stamping becomes 
out of control, especially if 

220
00:12:50,720 --> 00:12:52,400
you compound it with the first 
problem. 

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00:12:53,640 --> 00:12:58,880
So I guess my question to you is
like, how does slash ID solve 

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00:12:58,880 --> 00:13:00,320
this problem? 
Do you actually solve it? 

223
00:13:00,320 --> 00:13:03,600
Or do you say like the approach 
is wrong and we do something 

224
00:13:03,600 --> 00:13:05,040
different? 
Yeah. 

225
00:13:05,040 --> 00:13:12,080
So I mean 2-2 of of the so like 
most loved features of our 

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00:13:12,080 --> 00:13:16,040
platform are actually exactly 
tackling the first problem that 

227
00:13:16,040 --> 00:13:18,280
you're talking about Jim. 
And it's it's a very different 

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00:13:18,280 --> 00:13:23,400
way to approach it, we think. 
So 1 is we like it. 

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00:13:23,400 --> 00:13:27,720
This sounds very simple and and 
stupid in many ways, but like 

230
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people find a lot of value out 
of it. 

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We can automatically generate 
descriptions for roles, 

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identities, credentials and 
groups in your environment so 

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that you're able to see both us 
as a identity professional, as a

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security professional, as well 
as a business user. 

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Hey, what can this identity 
actually do? 

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What does it does? 
Does this identity have access 

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to in in the environment? 
And the second thing is to your 

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point about the complexity of 
the entitlement systems, often, 

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especially when you look at like
cloud environments, it's almost 

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impossible to create a use 
privilege list privilege policy 

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right from the start. 
So one of the things that we 

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help companies do is observe the
behavior of their identity over 

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time, see which entitlements he 
actually uses, and then 

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automatically generate a list 
privilege policy that minimizes 

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the amount of access that an 
entity has without disrupting 

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disrupting it. 
Which we think is is 

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fundamentally better approach 
than trying to be prescriptive 

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and trying to create roles or 
groups upfront, especially in 

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environments that have very 
complex authorization systems. 

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That's a great, great overview. 
So the other thing that you 

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pointed out was one of the, you 
know, as one of the things that 

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really drew you into the 
industry was the whole data 

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breach aside. 
So truly security trying to 

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solve a security problem that, 
you know, all organizations at 

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least need to be thinking about.
But you made a statement that 

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most of them are identity 
related. 

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I think I know what that means 
being the Co host of the 

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identity to center podcast but I
want to know what you mean. 

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Yeah. 
So when when you look at the 

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various industry reports on data
breaches throughout the years, 

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Verizon publishes a very popular
1. 

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AWS also publishes a very 
popular one yearly. 

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Almost all of them across the 
board mention identity as one of

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the primary vector for either 
the initial compromise or 

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lateral movement. 
I'll give you some some stats 

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which which I find extremely 
interesting. 66% of the bridges 

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00:15:43,680 --> 00:15:52,040
that Amazon sees in AWS are due 
to stalling AWS credentials. 

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About 33% of all the bridges 
that Verizon tracks have a 

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credential related issue as the 
entry point and cross strike 

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00:16:03,760 --> 00:16:07,440
tracks in their global reports 
lateral movement attempts. 

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00:16:07,680 --> 00:16:10,800
Most of them are actually an 
anti related where somebody's 

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using cover roasting or similar 
techniques to escalate 

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privileges within an 
environment. 

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And so it really feels like from
from our standpoint that most of

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the identity programs out there 
are not doing enough on the 

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security side and that's why 
we're seeing such a spike in 

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00:16:30,920 --> 00:16:34,280
identity related breaches. 
Yeah. 

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00:16:35,200 --> 00:16:40,760
You know, I read a recent report
which pointed out that I 

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identity related breaches have 
dropped over the past five 

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00:16:46,200 --> 00:16:49,120
years. 
And I feel like I, you know, 

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they're not as persistently in 
the news. 

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00:16:52,200 --> 00:16:55,480
But the guidance in that report 
and guidance that kind of rings 

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true to me is that even though 
the the number of them may be 

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00:16:59,680 --> 00:17:04,680
falling, they're the impact, the
risk is still there, right? 

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00:17:04,880 --> 00:17:10,240
The impact outweighs maybe the 
likelihood, and maybe the 

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00:17:10,240 --> 00:17:14,440
likelihood is dropping because 
of people doing better identity 

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00:17:14,440 --> 00:17:19,640
management. 
I, I think the, what, what I 

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00:17:19,640 --> 00:17:22,720
will say is if, if you look at 
like the, the, the latest 

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00:17:23,119 --> 00:17:26,640
Verizon report that just came 
out, I think like today or, or, 

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00:17:26,640 --> 00:17:32,040
or last night, what you'll see 
is there is a spike in 

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00:17:32,320 --> 00:17:37,120
vulnerabilities as the primary 
attack vector as opposed to 

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00:17:37,600 --> 00:17:41,160
credential breaches. 
But credential breaches are 

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00:17:41,160 --> 00:17:46,360
still so far the number one 
cause for, for, for, for, for 

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00:17:46,360 --> 00:17:48,680
breaches. 
I think what what what's 

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00:17:48,680 --> 00:17:52,920
happening over time is we're 
moving as an industry away from 

296
00:17:53,440 --> 00:17:58,480
long lived access tokens to 
better ways to authenticate 

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00:17:58,480 --> 00:18:03,720
services and machines and so on.
But we're still far away from 

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00:18:04,560 --> 00:18:10,440
like identity being sort of like
a secure part of the IT stack. 

299
00:18:11,680 --> 00:18:13,560
Yeah. 
I mean, look, the problem is not

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00:18:13,560 --> 00:18:14,440
going away. 
By the way. 

301
00:18:14,440 --> 00:18:18,800
The the report that I was 
referencing is the RSMUS Middle 

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00:18:18,800 --> 00:18:21,240
Market Business Index special 
report. 

303
00:18:21,560 --> 00:18:25,400
And kind of the, what I thought 
was the punchline is even though

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00:18:26,160 --> 00:18:32,120
the data is positive, there was 
a spike in in breaches in 2024, 

305
00:18:34,200 --> 00:18:37,920
but that the methods being used 
in these attacks are becoming 

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00:18:37,920 --> 00:18:41,680
more sophisticated. 
Some attacks may go undetected. 

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00:18:43,000 --> 00:18:45,840
And that highlights the 
importance of continuously 

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00:18:45,840 --> 00:18:49,200
strengthening security controls.
It's that undetected piece, 

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00:18:49,200 --> 00:18:52,000
right? 
That's the that's the real hook 

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00:18:52,600 --> 00:18:57,640
that you know, people get in the
door and then they sit there and

311
00:18:57,640 --> 00:19:01,040
then they conduct their attack 
later after they realize you 

312
00:19:01,040 --> 00:19:03,640
don't even know that I'm in. 
Yeah, no. 

313
00:19:03,720 --> 00:19:08,360
And honestly, Jim, you're, 
you're really into something on 

314
00:19:08,360 --> 00:19:13,840
this because when you look at 
the average what what people in 

315
00:19:13,840 --> 00:19:16,840
the security industry called the
well time is the amount of time 

316
00:19:16,840 --> 00:19:20,320
that an attacker stays in an 
environment before being thrown 

317
00:19:20,320 --> 00:19:24,000
out for a normal breach that is 
10 days. 

318
00:19:24,000 --> 00:19:27,000
This is across the board from 
like Google reports, cross right

319
00:19:27,000 --> 00:19:29,600
reports and so on. 
When you look at identity based 

320
00:19:29,600 --> 00:19:33,280
bridges, most of them take over 
a month to be discovered. 

321
00:19:34,000 --> 00:19:37,840
And the reason for it is that we
just don't have the same degree 

322
00:19:37,840 --> 00:19:41,000
of detection capabilities that 
we have compared to endpoint 

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00:19:41,000 --> 00:19:46,560
security or cloud security. 
So I think a big part of what 

324
00:19:46,560 --> 00:19:50,960
we're seeing, Jim, is that these
breaches are harder to detect 

325
00:19:51,280 --> 00:19:53,760
and potentially a lot more 
dangerous. 

326
00:19:53,960 --> 00:19:57,240
I'll give just one, one I think 
here example. 

327
00:19:57,240 --> 00:20:03,320
Microsoft was under review from 
CSA because of an identity 

328
00:20:03,320 --> 00:20:06,240
related breach where the State 
Department was compromised. 

329
00:20:06,520 --> 00:20:10,600
What I think was interesting 
there was that the way that 

330
00:20:10,600 --> 00:20:15,160
breach was discovered was 
through a detection rule for 

331
00:20:15,160 --> 00:20:17,760
e-mail security that the State 
Department had internally. 

332
00:20:17,760 --> 00:20:20,400
It wasn't. 
It wasn't until then that 

333
00:20:20,400 --> 00:20:24,760
Microsoft realized that they had
lost a key, like a private key 

334
00:20:25,160 --> 00:20:30,640
that the attacker was using to 
sign requests to expiratory 

335
00:20:30,640 --> 00:20:34,000
data. 
So that really speaks to the 

336
00:20:34,480 --> 00:20:37,680
complexity of these breaches and
the lack of detection 

337
00:20:37,680 --> 00:20:39,000
capabilities that we currently 
have. 

338
00:20:40,040 --> 00:20:42,360
Yeah, it's pretty amazing. 
That's a great story that you 

339
00:20:42,360 --> 00:20:44,600
shared. 
You know, I kind of wonder about

340
00:20:44,600 --> 00:20:46,760
that scenario because you hear 
about it all the time that 

341
00:20:47,240 --> 00:20:52,160
breaches aren't detected for 170
days, something like that, that 

342
00:20:52,160 --> 00:20:55,080
kind of dwell time. 
And I always kind of wondered 

343
00:20:55,080 --> 00:20:59,960
what drives that from the 
adversary's perspective. 

344
00:21:00,320 --> 00:21:04,120
They want to get in, obviously, 
but why does it take so long for

345
00:21:04,120 --> 00:21:07,760
them to be detected? 
Because I'm assuming the 

346
00:21:07,760 --> 00:21:12,200
detection really is winds up 
occurring where they detonate 

347
00:21:12,200 --> 00:21:14,920
whatever the full blown attack 
is. 

348
00:21:14,920 --> 00:21:19,280
So is it like in the meantime 
they're doing research or they 

349
00:21:19,280 --> 00:21:22,960
get in so many doors that they 
can't conduct the attack on all 

350
00:21:22,960 --> 00:21:24,680
them? 
They say, all right, we're, 

351
00:21:25,280 --> 00:21:29,960
we've got a backlog of work here
in our in our hacker, you know, 

352
00:21:30,320 --> 00:21:32,680
project plan. 
And so four months from now, 

353
00:21:32,680 --> 00:21:36,680
we're going to go get that cup 
to have in your experience. 

354
00:21:36,680 --> 00:21:39,120
Why? 
Why are those well time so long?

355
00:21:39,680 --> 00:21:43,760
So, so you have different 
classes of of attackers. 

356
00:21:43,760 --> 00:21:46,920
You have some attackers that are
financially motivated and then 

357
00:21:46,920 --> 00:21:50,200
you have attackers that are more
politically motivated or have 

358
00:21:50,200 --> 00:21:53,400
espionage in mind. 
For the second class of the 

359
00:21:53,400 --> 00:21:58,240
attackers, maintaining access to
the system is by far one of the 

360
00:21:58,280 --> 00:22:02,760
key statement in their mission. 
Like they need to stay in that 

361
00:22:02,760 --> 00:22:06,480
system once they've compromised.
So what they do is everything in

362
00:22:06,480 --> 00:22:10,120
their power to stay stealth and 
under the radar and not trigger 

363
00:22:10,680 --> 00:22:12,840
any detection. 
Whereas for financially 

364
00:22:12,840 --> 00:22:15,920
motivated attackers, they are 
more interested in sort of like 

365
00:22:15,920 --> 00:22:18,040
the equivalent of a smash and 
grab where like they install 

366
00:22:18,040 --> 00:22:23,840
ransomware and similar. 
And for them, what they try to 

367
00:22:23,840 --> 00:22:28,040
do is find a way to that, to get
to kind of like your most 

368
00:22:28,040 --> 00:22:35,320
sensitive data and then either 
exportrate that data or use 

369
00:22:35,320 --> 00:22:39,880
ransomware to, to, to force you 
to, to pay up or similar. 

370
00:22:39,880 --> 00:22:43,240
And so in those cases, they care
a bit less about detection. 

371
00:22:43,600 --> 00:22:47,240
And, and so the detection time, 
the detection time frame is, is 

372
00:22:47,240 --> 00:22:51,840
a lot shorter before espionage 
and positive motivated 

373
00:22:51,840 --> 00:22:54,800
attackers. 
It is part of their MO to stay 

374
00:22:54,800 --> 00:22:57,600
as stealth as possible, even 
though that might mean that 

375
00:22:58,080 --> 00:23:01,200
it'll take them longer to 
accentuate data and what not. 

376
00:23:01,800 --> 00:23:06,160
OK, I'm that makes sense. 
So, So what does slash ID do 

377
00:23:06,920 --> 00:23:08,440
given all those different 
scenarios? 

378
00:23:08,440 --> 00:23:14,080
What, what are the things that 
you're detecting that if I'm an 

379
00:23:14,080 --> 00:23:16,400
I am practitioner, I'm going to 
miss today. 

380
00:23:16,400 --> 00:23:20,040
What, what is it? 
What's that special trigger or 

381
00:23:20,040 --> 00:23:23,440
multiple triggers that slash ID 
is doing for me? 

382
00:23:23,440 --> 00:23:26,760
That's going to say, OK, now I 
see why I spend the money and 

383
00:23:26,760 --> 00:23:28,320
invest in that. 
Yes. 

384
00:23:28,600 --> 00:23:30,960
So we do three things on the 
detection side. 

385
00:23:31,240 --> 00:23:34,760
One is we can monitor our 
privilege identity. 

386
00:23:34,760 --> 00:23:38,240
So you can map, you can mark an 
identity as privileged and any 

387
00:23:38,240 --> 00:23:41,640
change done to that identity 
with respect to creation of 

388
00:23:42,120 --> 00:23:46,720
credentials, changes in the 
policies that they have access 

389
00:23:46,720 --> 00:23:50,640
to, entitlements access and so 
on, we monitor and alert you on 

390
00:23:50,640 --> 00:23:52,560
that. 
So you are always aware of 

391
00:23:53,160 --> 00:23:56,640
whether one of your crown rules 
is being is being used without 

392
00:23:57,040 --> 00:23:59,800
sort of like a proper reason in 
place. 

393
00:24:00,120 --> 00:24:07,040
The second thing is we alert you
to any behavioral pattern that 

394
00:24:07,040 --> 00:24:10,360
we see in an identity that 
hasn't been seen before. 

395
00:24:10,360 --> 00:24:13,360
So it follows this item. 
We see a service account that is

396
00:24:13,360 --> 00:24:16,280
trying to connect to a machine 
that has never used in the past 

397
00:24:16,280 --> 00:24:21,640
90 days or 180 days. 
You get a detection that that 

398
00:24:21,640 --> 00:24:24,600
you can action on either we'll 
get to the remediation in a 

399
00:24:24,600 --> 00:24:27,360
second, but either manually or 
automatically through our 

400
00:24:27,360 --> 00:24:31,160
remediations. 
And 3rd, we're we're able to 

401
00:24:31,160 --> 00:24:35,280
help you detect life cycle 
issues. 

402
00:24:35,280 --> 00:24:38,920
For instance, we're able to 
detect identities that haven't 

403
00:24:38,920 --> 00:24:44,600
been off border properly, orphan
credentials, roles and groups 

404
00:24:44,640 --> 00:24:50,680
that haven't been used in a long
time, and this helps minimizing 

405
00:24:50,680 --> 00:24:54,640
the amount of pivot points that 
an attacker can have when 

406
00:24:54,640 --> 00:24:56,520
they're trying to move laterally
in your environment. 

407
00:24:57,240 --> 00:25:01,360
Yeah, that, that's fantastic. 
So that's how I detect it. 

408
00:25:01,360 --> 00:25:03,960
And how do I go about remeding 
it? 

409
00:25:03,960 --> 00:25:06,680
And I guess there's two concerts
they have. 

410
00:25:06,680 --> 00:25:10,080
So if somebody, if I'm detecting
OK, somebody's gotten in, 

411
00:25:10,080 --> 00:25:13,320
somebody's on the network 
they've had, they have some 

412
00:25:13,320 --> 00:25:16,440
accounts. 
How do I trace back? 

413
00:25:16,720 --> 00:25:20,280
Is this combination tools? 
Is there a role that slash ID 

414
00:25:20,280 --> 00:25:23,960
plays in this or trace back what
maybe they've done over time? 

415
00:25:25,280 --> 00:25:29,840
Because I guess there's 2 
scenarios. 1 is I bring slash ID

416
00:25:29,840 --> 00:25:32,560
to and I look at my current 
environment. 

417
00:25:32,880 --> 00:25:36,280
But then there's the going 
forward of how do I make sure 

418
00:25:36,280 --> 00:25:39,160
that I detect the breaches 
quickly so there's not someone 

419
00:25:39,160 --> 00:25:41,480
sitting on my network for a 
year. 

420
00:25:41,480 --> 00:25:47,200
But if I bring in slash ID and I
have been breach, but maybe that

421
00:25:47,200 --> 00:25:51,520
breach hasn't resulted in the 
big data exfiltration or 

422
00:25:51,520 --> 00:25:53,960
ransomware insertion or 
something like that. 

423
00:25:54,960 --> 00:26:00,000
Maybe the, the, the hackers in 
the process of trying to 

424
00:26:00,160 --> 00:26:02,120
escalate privileges, things like
that. 

425
00:26:02,280 --> 00:26:03,680
How would I know what they've 
done? 

426
00:26:03,680 --> 00:26:05,800
Have they created accounts and 
things like that? 

427
00:26:06,200 --> 00:26:09,640
And then what do you think is 
the the process for cleaning up 

428
00:26:09,640 --> 00:26:10,960
after that? 
Yeah. 

429
00:26:11,560 --> 00:26:16,880
So what we do is we record by 
looking at log data. 

430
00:26:16,880 --> 00:26:20,840
We record the actions of every 
identity so that the moment a 

431
00:26:20,840 --> 00:26:22,840
detection triggers, you're able 
to look. 

432
00:26:22,960 --> 00:26:25,600
Back. 
In time and see everything that 

433
00:26:25,880 --> 00:26:30,520
that led to that to, to, to the 
potential breach and attack. 

434
00:26:30,520 --> 00:26:33,960
So it's easy both for the 
identity team and the SoC team 

435
00:26:33,960 --> 00:26:37,000
to understand what exactly 
happened in your environment 

436
00:26:37,000 --> 00:26:39,120
that led to that specific 
problem. 

437
00:26:39,600 --> 00:26:44,120
When it comes to remediation, we
provide three ways to go about 

438
00:26:44,480 --> 00:26:48,160
remediation. 1 is remediation 
playbooks. 

439
00:26:48,160 --> 00:26:53,080
These are instructions that your
IAM analyst or SoC analyst can 

440
00:26:53,080 --> 00:26:58,160
manually follow to remediate a 
specific finding, whether this 

441
00:26:58,160 --> 00:27:00,680
is a posture issue or an active 
threat. 

442
00:27:01,080 --> 00:27:05,040
The second option is fully 
automated, so you can use our AP

443
00:27:05,040 --> 00:27:09,720
is to automatically remediate on
a detection where it triggers. 

444
00:27:10,000 --> 00:27:14,400
The advantage of doing that is 
you stop the attacker on their 

445
00:27:14,400 --> 00:27:16,840
track immediately. 
Like we invalidate tokens, 

446
00:27:17,640 --> 00:27:20,360
access tokens, so they can't 
move anywhere, you remove all 

447
00:27:20,360 --> 00:27:22,640
the privilege, all the 
entitlements from a role, so 

448
00:27:22,640 --> 00:27:25,240
they can't use the role to do 
anything in your system and so 

449
00:27:25,240 --> 00:27:28,440
on. 
But some companies are are 

450
00:27:28,440 --> 00:27:31,520
concerned about doing full 
remediation. 

451
00:27:31,520 --> 00:27:37,200
So we provide 1/3 path, which is
the ability to remediate in 

452
00:27:37,200 --> 00:27:41,960
conjunction with a sort tool or 
or or manually through our UI, 

453
00:27:42,120 --> 00:27:46,040
where you can go in, do your 
investigation, and then decide 

454
00:27:46,200 --> 00:27:51,920
whether to suspend an entity, 
rotate a secret, quarantine a 

455
00:27:51,920 --> 00:27:56,120
role, and so on through our UI 
or through the sort tool that 

456
00:27:56,240 --> 00:27:59,440
you normally use. 
Is there a way to also automate 

457
00:27:59,440 --> 00:28:03,160
that, so if somebody comes in 
and detects something to, hey, 

458
00:28:03,160 --> 00:28:10,040
take, you know, predictive 
action to say, temporarily 

459
00:28:10,040 --> 00:28:13,880
suspend this account until 
further research is done? 

460
00:28:14,840 --> 00:28:15,760
Yeah. 
So. 

461
00:28:16,240 --> 00:28:19,280
So what what you can do is, is 
when a detection triggers, you 

462
00:28:19,280 --> 00:28:24,320
can have actions like suspend a 
user or a role or or a 

463
00:28:24,320 --> 00:28:27,160
credential. 
And then once the investigation 

464
00:28:27,360 --> 00:28:31,800
is done, you can decide whether 
to restore that identity or keep

465
00:28:31,800 --> 00:28:33,760
it, keep it blocked or delete 
it. 

466
00:28:34,600 --> 00:28:37,200
So one more question, So you 
mentioned logs. 

467
00:28:37,440 --> 00:28:41,200
So is this something that works 
in concert if I have a SIM 

468
00:28:41,200 --> 00:28:46,160
solution on my network or does 
it have to replace my SIM 

469
00:28:46,160 --> 00:28:48,120
solution? 
So does could it work with 

470
00:28:48,120 --> 00:28:51,160
Splunk or no? 
Just throwing that out there, 

471
00:28:51,320 --> 00:28:55,800
Splunk. 
Or do I have to now send my logs

472
00:28:55,800 --> 00:28:59,440
TO/ID? 
So we work with your existing 

473
00:28:59,440 --> 00:29:02,680
SIM and we can send our 
detections and alerts to your 

474
00:29:02,680 --> 00:29:06,160
SIM so that your SoC team 
doesn't have to use a different 

475
00:29:06,160 --> 00:29:10,760
UI that they're not used to. 
And we, we, in general, we, we 

476
00:29:11,240 --> 00:29:14,840
try to make sure that whatever 
tooling you already have, this 

477
00:29:14,840 --> 00:29:18,360
is true both on the IGA side and
the SoC side, We're able to 

478
00:29:18,360 --> 00:29:21,280
integrate with them so that 
you're not changing the UI flows

479
00:29:21,280 --> 00:29:27,200
that you're used to. 
And so we can dump all of our 

480
00:29:27,200 --> 00:29:33,160
findings into your SIM and then 
the SoC team can use the same to

481
00:29:33,160 --> 00:29:37,760
investigate similarly because we
expose everything through AP is 

482
00:29:37,960 --> 00:29:40,400
you don't if you don't want to. 
You don't actually have to use 

483
00:29:40,400 --> 00:29:43,000
our UI at all. 
You can have your Terraform 

484
00:29:45,120 --> 00:29:48,320
infrastructure as code. 
Use our AP is to pull 

485
00:29:48,320 --> 00:29:52,040
information or remediate 
specific actions. 

486
00:29:52,520 --> 00:29:56,960
I mean, to me this is like ITDR 
the vision realize, right? 

487
00:29:56,960 --> 00:30:00,320
It's all about having visibility
to your environment and 

488
00:30:00,320 --> 00:30:03,960
detecting the threats, but 
working with your existing 

489
00:30:03,960 --> 00:30:08,040
infrastructure but adding the 
identity intelligence on top of 

490
00:30:08,040 --> 00:30:11,840
that is kind of that's kind of 
the approach that you had in 

491
00:30:11,840 --> 00:30:14,200
mind. 
Yes, yes. 

492
00:30:14,200 --> 00:30:17,640
What what we really tried to do 
is augment your existing 

493
00:30:17,640 --> 00:30:20,040
tooling. 
We're not trying to displace 

494
00:30:20,040 --> 00:30:22,240
your IGA program. 
We're trying to make it better 

495
00:30:23,000 --> 00:30:26,960
with that intelligence layer 
there often often is missing. 

496
00:30:28,640 --> 00:30:32,600
So if I have all this 
information right, I guess I can

497
00:30:32,600 --> 00:30:34,520
think about if this is from a 
measurement standpoint. 

498
00:30:35,160 --> 00:30:37,240
All right, I just invested in 
slash ID. 

499
00:30:37,760 --> 00:30:40,640
What do your typical customers 
say is like, OK, this is how we 

500
00:30:40,640 --> 00:30:43,680
measure the success of the of 
the platform because it's almost

501
00:30:43,680 --> 00:30:46,360
kind of like you hope you don't 
have to use it, right. 

502
00:30:47,560 --> 00:30:51,160
But you end up hopefully with, 
you know, data that can kind of 

503
00:30:51,160 --> 00:30:53,600
come through and say, OK, we're 
detecting these things. 

504
00:30:53,600 --> 00:30:55,280
And what do I do from like a 
response perspective? 

505
00:30:55,560 --> 00:30:59,120
What if you found is sort of 
like the the key justification 

506
00:30:59,200 --> 00:31:02,120
that your customers have said, 
OK, yeah, this is This is why we

507
00:31:02,120 --> 00:31:03,200
bought it. 
Yeah. 

508
00:31:03,440 --> 00:31:07,440
So we find 3 things that 
customer mentioned to US. 

509
00:31:07,440 --> 00:31:15,480
One is reduce time in IGA tasks.
This is both in terms of like 

510
00:31:15,480 --> 00:31:20,760
roll out or IGA programs as well
as just the time it takes to do 

511
00:31:21,240 --> 00:31:23,760
access reviews and access 
request thanks to the 

512
00:31:23,840 --> 00:31:25,360
intelligence layer that we 
provide. 

513
00:31:25,760 --> 00:31:29,280
The second is the reduced timing
investigation. 

514
00:31:29,520 --> 00:31:34,200
When there is a potential breach
finding who actually created an 

515
00:31:34,200 --> 00:31:36,400
identity, was that an identity 
stale? 

516
00:31:36,400 --> 00:31:40,320
Is this a false positive or a 
false negative that saves a 

517
00:31:40,320 --> 00:31:43,320
hundreds of hours for both IAM 
teams and sub teams? 

518
00:31:44,840 --> 00:31:52,800
And then lastly, the the, the, 
the ability to use our 

519
00:31:52,840 --> 00:31:56,720
remediations to avoid all the 
manual effort that analysts have

520
00:31:56,720 --> 00:31:59,200
to do today. 
Where consider you need to go to

521
00:31:59,200 --> 00:32:02,680
the platform team and ask them 
to write some terraform to fix 

522
00:32:02,920 --> 00:32:08,840
identities or your IMIM team has
to go in and manually fix stuff.

523
00:32:08,840 --> 00:32:12,360
Whereas you can use as as a sort
of like an obstruction layer to 

524
00:32:12,360 --> 00:32:16,680
do all the remediation. 
Ultimately I think that what 

525
00:32:16,680 --> 00:32:20,720
this boils down to is 1 it's 
much easier for you to be 

526
00:32:20,720 --> 00:32:24,200
compliant and prove to your 
auditors that you are compliant.

527
00:32:24,200 --> 00:32:29,120
And then two, you have the Peace
of Mind that you don't have to 

528
00:32:29,400 --> 00:32:33,320
to spend time building like 
custom detections in your in 

529
00:32:33,320 --> 00:32:35,760
your sock team to detect that 
entity based attacks. 

530
00:32:36,760 --> 00:32:39,800
That rule set is already built 
into the product with some sort 

531
00:32:39,800 --> 00:32:42,280
of standard capabilities, but I 
imagine is is if me as a 

532
00:32:42,280 --> 00:32:46,120
customer I can add additional 
policies or rule sets to detect 

533
00:32:46,120 --> 00:32:47,520
against too, right? 
Yeah. 

534
00:32:47,520 --> 00:32:51,720
And as I mentioned, you can 
monitor highly privileged 

535
00:32:51,800 --> 00:32:55,720
identities that are really 
important to you and might not 

536
00:32:55,720 --> 00:32:59,560
have sort of like might not have
been picked up by our 

537
00:33:00,600 --> 00:33:03,280
out-of-the-box detections. 
How would I go about setting 

538
00:33:03,280 --> 00:33:05,240
that up? 
Is it as simple as coming up 

539
00:33:05,240 --> 00:33:07,800
with like a naming rule or maybe
a group membership? 

540
00:33:07,800 --> 00:33:10,840
Or do I go in and flag 
individual accounts? 

541
00:33:10,840 --> 00:33:12,400
I'm just trying to think of ways
like, all right, in the real 

542
00:33:12,400 --> 00:33:14,360
world, right? 
You know, I've got an Active 

543
00:33:14,360 --> 00:33:16,800
Directory account and then I 
have like an Active Directory 

544
00:33:16,800 --> 00:33:20,760
account dot Adm, right? 
And companies tend to follow 

545
00:33:20,760 --> 00:33:22,480
patterns. 
Can I do some sort of like 

546
00:33:22,760 --> 00:33:25,240
pattern matching or group 
membership analysis to say OK 

547
00:33:25,560 --> 00:33:28,960
anytime an account like this 
shows up, I don't have to 

548
00:33:28,960 --> 00:33:32,040
remember to put it into this 
bucket, it will just 

549
00:33:32,040 --> 00:33:33,200
automatically go into that 
bucket? 

550
00:33:33,360 --> 00:33:37,320
Yes, So you can, you can do 
group relationship analysis to 

551
00:33:37,720 --> 00:33:40,800
automatically tag certain 
certain identities. 

552
00:33:41,000 --> 00:33:47,560
You can also use our AP is as 
part of sort of your life cycle 

553
00:33:47,560 --> 00:33:51,600
processes to mark specific 
identities as a privileged. 

554
00:33:51,600 --> 00:33:58,360
And then lastly, we do analysis 
on our side based on the type of

555
00:33:58,360 --> 00:34:02,520
permissions and the type of 
access that the an entity has to

556
00:34:02,520 --> 00:34:07,000
say Pai information and so on to
mark certain identities as high 

557
00:34:07,000 --> 00:34:09,679
risk so that you have that full 
coverage. 

558
00:34:10,920 --> 00:34:13,719
OK, so I'm sold. 
I'm going to get it and I want 

559
00:34:13,719 --> 00:34:15,760
to deploy it. 
What does it look like to set 

560
00:34:15,760 --> 00:34:18,199
this up? 
I guess how long does it take 

561
00:34:18,199 --> 00:34:21,480
for me to, you know, get, you 
know, it's, it's probably an 

562
00:34:21,480 --> 00:34:22,880
ongoing thing, right? 
Identities are forever and 

563
00:34:22,880 --> 00:34:23,920
there's always something new 
coming in. 

564
00:34:23,920 --> 00:34:26,199
But what's a reasonable 
expectation say, OK, I've got 

565
00:34:26,199 --> 00:34:30,679
this thing set up and now I've 
got some actionable data to do 

566
00:34:30,679 --> 00:34:33,639
things with. 
Is it days, weeks, months? 

567
00:34:33,639 --> 00:34:36,960
And the curveball in there is 
how long do you think is 

568
00:34:36,960 --> 00:34:40,080
appropriate to detect what I 
would call, you know, abnormal 

569
00:34:40,080 --> 00:34:42,880
behaviour? 
Is it based on the account the 

570
00:34:42,880 --> 00:34:44,280
person, right? 
There's, there's always that 

571
00:34:44,280 --> 00:34:46,199
kind of tuning period, right? 
So, OK, well, what is normal for

572
00:34:46,199 --> 00:34:47,719
Jeff? 
Well, Jeff's never normal. 

573
00:34:47,719 --> 00:34:49,560
So he doesn't fit into a bucket 
right? 

574
00:34:50,880 --> 00:34:53,520
Yeah. 
So I think one of those things 

575
00:34:53,520 --> 00:35:00,160
that we do uniquely is we're 
able to ingest historical data 

576
00:35:00,440 --> 00:35:01,960
that you already have in your 
environment. 

577
00:35:01,960 --> 00:35:07,080
So a lot of companies have data 
in their SIM in S3 and so on. 

578
00:35:07,080 --> 00:35:10,360
We can ingest that data the 
moment you connect to us. 

579
00:35:10,640 --> 00:35:14,440
And so you can get behavioral 
information out-of-the-box 

580
00:35:14,480 --> 00:35:19,280
immediately, within 24 hours 
from when you connect to the 

581
00:35:19,280 --> 00:35:22,280
environment. 
The setup itself takes less than

582
00:35:22,280 --> 00:35:24,080
15 minutes. 
You give us credentials for your

583
00:35:24,080 --> 00:35:29,880
environment and we provision it 
automatically if it's a cloud 

584
00:35:29,880 --> 00:35:32,600
based solution. 
If it's on Prem, you deploy our 

585
00:35:32,600 --> 00:35:36,160
collector which is a docker 
image and the collector starts 

586
00:35:36,160 --> 00:35:41,240
to stream data to us. 
OK. 

587
00:35:41,320 --> 00:35:43,880
So is this something that you 
can maybe walk us through and 

588
00:35:43,880 --> 00:35:45,640
kind of show this how this 
works? 

589
00:35:46,560 --> 00:35:51,200
Yeah, absolutely. 
I think forgiven that this is a 

590
00:35:51,200 --> 00:35:55,360
podcast, I'll try to keep this 
as brief as possible and not 

591
00:35:55,360 --> 00:35:58,480
particularly in in try not to 
bore people. 

592
00:35:58,760 --> 00:36:04,800
But basically once you connect 
to the to the environment, this 

593
00:36:04,800 --> 00:36:08,560
is the typical, typical view you
would have for an identity. 

594
00:36:10,400 --> 00:36:12,560
As you can see here, this is a 
AWS role. 

595
00:36:12,680 --> 00:36:15,040
It's it's an NHI. 
We tell you automatically you 

596
00:36:15,040 --> 00:36:19,960
created the role, but I 
mentioned earlier that we use 

597
00:36:19,960 --> 00:36:24,720
LLMS to improve kind of like the
the readability of this data and

598
00:36:24,720 --> 00:36:27,560
the visibility. 
So you can see here that our LLM

599
00:36:27,560 --> 00:36:30,880
can automatically generate a 
description for this role to 

600
00:36:30,880 --> 00:36:33,640
tell you exactly what the role 
does and can do in your 

601
00:36:33,640 --> 00:36:35,720
environment. 
So for our. 

602
00:36:35,840 --> 00:36:37,960
People who are listening, I 
guess I'm looking at like this 

603
00:36:37,960 --> 00:36:40,080
dashboard, right? 
And it's it's essentially 

604
00:36:40,080 --> 00:36:44,840
pulling in AWS information and 
then and then you're doing 

605
00:36:44,840 --> 00:36:47,080
things against that, right? 
You mentioned the LLM and coming

606
00:36:47,080 --> 00:36:50,600
up with, you know, probably more
human friendly descriptions of 

607
00:36:50,600 --> 00:36:53,040
what things happening on, you 
know, going into this interface.

608
00:36:53,040 --> 00:36:56,120
And then so OK, I have a bunch 
of triggers and configures that 

609
00:36:56,120 --> 00:36:58,400
I can do right? 
Yep, Yeah, exactly. 

610
00:36:58,400 --> 00:37:02,280
And I mean if you if you take 
sort of like this, this role 

611
00:37:02,280 --> 00:37:04,480
here, like the role doesn't tell
us that much. 

612
00:37:04,480 --> 00:37:07,880
It's called AWS service role for
Amazon, even bridge API 

613
00:37:07,880 --> 00:37:11,200
destinations. 
That's not like super helpful. 

614
00:37:11,360 --> 00:37:15,000
Having a human readable 
description of what this thing 

615
00:37:15,000 --> 00:37:17,800
can actually do is already quite
helpful. 

616
00:37:18,000 --> 00:37:20,880
As I mentioned, you can suspend 
this role, delete this role. 

617
00:37:20,880 --> 00:37:25,760
You can do a bunch of actions on
the role and we discussed a bit 

618
00:37:25,760 --> 00:37:31,520
about like the the ability to 
help IGA processes when it comes

619
00:37:31,520 --> 00:37:33,800
to reducing excessive 
permissions. 

620
00:37:34,080 --> 00:37:39,840
You can see here that we can 
look back in the log data and 

621
00:37:39,840 --> 00:37:45,160
see which permissions haven't 
been used by this role in some 

622
00:37:45,160 --> 00:37:46,720
period of time where it's 
configurable. 

623
00:37:47,240 --> 00:37:52,760
And then you can ask our LLM to 
generate a appropriate policy 

624
00:37:52,760 --> 00:37:56,760
that we actually verify in the 
environment to make sure that 

625
00:37:57,880 --> 00:38:00,640
we're not accidentally sort of 
like removing privileges. 

626
00:38:00,800 --> 00:38:06,800
So here you see a full blown AWS
policy that is tailored to this 

627
00:38:06,800 --> 00:38:10,560
role and achieves least 
privilege based on the past 

628
00:38:10,560 --> 00:38:13,000
seven days of data. 
So that's one you there's like 

629
00:38:13,000 --> 00:38:17,560
functionality from like a Kim 
system or CIE cloud 

630
00:38:17,560 --> 00:38:19,360
infrastructure entitlement 
management. 

631
00:38:20,640 --> 00:38:24,800
So the the the core difference 
here is that most of the Kim 

632
00:38:24,800 --> 00:38:29,960
systems try to tell you what 
entitlements haven't been used, 

633
00:38:29,960 --> 00:38:31,640
but they don't help you with 
remediation. 

634
00:38:32,560 --> 00:38:35,920
Can you do the same thing from 
other cloud platforms like 

635
00:38:35,920 --> 00:38:39,040
Google Cloud as well as 
Microsoft Azure? 

636
00:38:39,400 --> 00:38:42,040
Yes, that's the other powerful, 
that's the other big 

637
00:38:42,040 --> 00:38:45,680
differentiator. 
We can do it across all the 

638
00:38:45,680 --> 00:38:49,080
providers that we support. 
It's not just AWS specific. 

639
00:38:50,000 --> 00:38:54,760
And so you have the same least 
privilege capabilities across 

640
00:38:54,760 --> 00:38:58,040
all the environments. 
So you click this button that 

641
00:38:58,040 --> 00:39:02,440
said get recommendation and then
that's where the LLM is chunking

642
00:39:02,440 --> 00:39:04,600
through the data and saying OK, 
well what should we do about 

643
00:39:04,600 --> 00:39:06,320
that? 
I guess explain me more what 

644
00:39:06,320 --> 00:39:08,280
that get recommendation button 
did on the screen. 

645
00:39:08,560 --> 00:39:10,560
Yeah. 
What that does is it looks at 

646
00:39:10,560 --> 00:39:14,160
the historical data, it looks at
the existing entitlements for 

647
00:39:14,160 --> 00:39:18,400
that identity. 
It removes all the entitlements 

648
00:39:18,400 --> 00:39:22,760
that have not been used in the 
the period of time you selected,

649
00:39:22,760 --> 00:39:27,240
which can be one day, seven days
up to like 90 days. 

650
00:39:28,520 --> 00:39:34,320
And what we then do is verify 
that policy before showing that 

651
00:39:34,320 --> 00:39:37,200
to you because obviously, as you
know, LLMS can hallucinate. 

652
00:39:37,480 --> 00:39:41,000
And so we want to make sure that
the policy is actually well 

653
00:39:41,000 --> 00:39:44,080
formed and is not accidentally 
breaking anything in your. 

654
00:39:44,080 --> 00:39:47,560
Environment and then basically 
what you see is like this 

655
00:39:47,720 --> 00:39:48,760
essentially like a script, 
right? 

656
00:39:48,760 --> 00:39:51,800
Like here's what we're going to 
do and then I take that 

657
00:39:51,800 --> 00:39:54,680
information, then I can either 
run it individually or can I 

658
00:39:54,680 --> 00:39:56,960
click another button that says, 
OK, do that. 

659
00:39:57,040 --> 00:39:58,760
How would you automate that part
of it? 

660
00:39:59,280 --> 00:40:03,760
So what you can do is to use use
our APIs to automatically deploy

661
00:40:04,680 --> 00:40:06,720
this across across your 
environments. 

662
00:40:07,120 --> 00:40:13,800
I mean, one thing that occurs to
me is that this gets you a good 

663
00:40:13,960 --> 00:40:18,200
way toward your lease privilege 
policy. 

664
00:40:18,440 --> 00:40:20,880
Didn't get you all the way 
there, but lease privilege is so

665
00:40:20,880 --> 00:40:25,120
hard to achieve that if you can 
at least start to clean up 

666
00:40:25,520 --> 00:40:29,200
unused roles, roles that you're 
not even using, that shouldn't 

667
00:40:29,200 --> 00:40:33,200
exist in the environment, and 
this takes you a step closer to 

668
00:40:33,200 --> 00:40:35,160
that. 
Yeah. 

669
00:40:35,160 --> 00:40:38,000
And the way we think about it 
from a, from a security 

670
00:40:38,000 --> 00:40:41,560
standpoint is what we're doing 
here is really reducing the 

671
00:40:41,560 --> 00:40:44,080
options for our attacker to move
laterally in your environment. 

672
00:40:44,320 --> 00:40:46,920
They might still breach an 
identity, but then they won't 

673
00:40:46,920 --> 00:40:49,960
have the same degree of 
entitlements that they would 

674
00:40:49,960 --> 00:40:54,280
have otherwise. 
And so we get to as close as 

675
00:40:54,280 --> 00:41:00,880
possible to less privilege, 
while while at the same time 

676
00:41:01,400 --> 00:41:03,320
sort of like being easy, easy to
use. 

677
00:41:03,320 --> 00:41:08,040
It's not as as big of a lift as 
something like IGA. 

678
00:41:08,480 --> 00:41:13,280
One thought I had about this is,
yeah, the the lateral movements,

679
00:41:14,120 --> 00:41:17,000
absolutely. 
What I would love to see, so you

680
00:41:17,000 --> 00:41:20,160
have my Christmas wish list, 
would be take this functionality

681
00:41:20,160 --> 00:41:22,960
and bring it to the on Prem 
environment. 

682
00:41:22,960 --> 00:41:26,440
If we could do this for the on 
Prem environment that would be a

683
00:41:26,440 --> 00:41:28,080
dream come true. 
Yeah. 

684
00:41:28,600 --> 00:41:32,000
So the the good news is that we 
can already do it for AD. 

685
00:41:32,840 --> 00:41:35,400
So we support. 
We support AD as well. 

686
00:41:37,360 --> 00:41:38,480
There you go. 
That's huge. 

687
00:41:39,600 --> 00:41:41,160
That's very cool. 
So I know it's a little bit of a

688
00:41:41,160 --> 00:41:43,160
visual demo. 
So for people who wanted to 

689
00:41:43,160 --> 00:41:45,000
follow along, we'll have it up 
on our YouTube channel. 

690
00:41:45,000 --> 00:41:47,320
Come and check that out. 
But definitely appreciate you 

691
00:41:47,320 --> 00:41:49,400
taking the time with us. 
Vincenzo, I want to ask you a 

692
00:41:49,400 --> 00:41:50,600
question before you wrap things 
up. 

693
00:41:50,600 --> 00:41:52,320
We, we try to end things on a 
lighter note and I don't know 

694
00:41:52,320 --> 00:41:56,600
how light this will get, but I'm
sure you've seen some strange, 

695
00:41:56,600 --> 00:42:00,400
unique, scary, baffling things 
maybe over your your time with 

696
00:42:00,440 --> 00:42:02,120
maybe things like Blackhat and 
so forth. 

697
00:42:02,520 --> 00:42:05,960
What is the most memorable thing
that you've maybe seen as as 

698
00:42:05,960 --> 00:42:08,960
part of, you know, that 
environment or maybe you know 

699
00:42:08,960 --> 00:42:12,000
that that culture of of 
attackers and defenders? 

700
00:42:12,600 --> 00:42:15,720
Yeah, so the, the there are a 
lot of like interesting stories 

701
00:42:15,720 --> 00:42:18,240
that I'm not sure I can talk 
about, but but I'll, I'll say 

702
00:42:18,240 --> 00:42:22,520
one that is dear to my heart 
because because it was part of 

703
00:42:22,520 --> 00:42:24,400
it. 
So at the beginning of my 

704
00:42:24,400 --> 00:42:29,000
career, I start to participate 
in this competition called .1 

705
00:42:29,000 --> 00:42:32,440
where you need to demonstrate a 
live exploits against either a 

706
00:42:32,520 --> 00:42:35,800
mobile phone or browser. 
And the way this works is you 

707
00:42:35,800 --> 00:42:41,160
fly to Vancouver, you have this 
like 2 days competition live 

708
00:42:41,160 --> 00:42:44,120
where like you run your exploit 
against the device and hopefully

709
00:42:44,120 --> 00:42:48,960
it works and, and, and you win. 
What happened to us one year was

710
00:42:49,600 --> 00:42:53,480
the vulnerability got patched 
literally the night before of 

711
00:42:53,480 --> 00:42:57,600
the competition. 
And so we had to stay up like 48

712
00:42:57,600 --> 00:43:01,200
hours straight to find another 
vulnerability, rewrite the 

713
00:43:01,200 --> 00:43:08,520
exploit and try to try to win. 
It was, it was a very, it was a 

714
00:43:08,520 --> 00:43:13,000
very fun experience for us. 
But I think he also speaks to 

715
00:43:14,320 --> 00:43:19,720
sort of like the, the, the, the 
complexity of like this world 

716
00:43:19,840 --> 00:43:24,760
and how hard it is to like keep 
up with attackers. 

717
00:43:25,880 --> 00:43:27,560
Yeah, it's always that cat and 
mouse game, right? 

718
00:43:27,560 --> 00:43:31,880
But I, I don't, I good on them 
for patching it and then good on

719
00:43:31,880 --> 00:43:35,160
you, I guess fighting and 
something else that you could 

720
00:43:35,160 --> 00:43:37,320
get in through, you know, in a 
relatively short order. 

721
00:43:37,320 --> 00:43:40,120
So I guess that just highlights,
right, the speed for the 

722
00:43:40,120 --> 00:43:41,920
detection is such an important 
part of this is, OK, well, how 

723
00:43:41,920 --> 00:43:43,640
quickly can we detect something,
right? 

724
00:43:43,640 --> 00:43:47,160
That dual time is so important 
and it becomes more important as

725
00:43:47,160 --> 00:43:51,080
we become more automated and 
more, you know, let's say bot 

726
00:43:51,080 --> 00:43:54,600
and AI driven where these things
are happening, you know, very, 

727
00:43:54,600 --> 00:43:57,720
very quickly, millisecond speed.
And so it can be very difficult 

728
00:43:57,720 --> 00:43:59,960
to kind of detect all that was. 
Is that a fair assessment? 

729
00:44:00,320 --> 00:44:05,480
Yes, I like on on on that front.
One thing that I think flew 

730
00:44:05,480 --> 00:44:09,960
under the radar a bit too much, 
but recently the Microsoft 

731
00:44:10,200 --> 00:44:15,240
Research team used an LLM to 
find vulnerabilities in bunch of

732
00:44:15,240 --> 00:44:21,080
book loaders. 
The scary thought is we might be

733
00:44:21,080 --> 00:44:25,080
getting to a point where finding
vulnerabilities is actually very

734
00:44:25,080 --> 00:44:29,000
quick, very fast. 
And so attackers will have two 

735
00:44:29,000 --> 00:44:31,640
levers that they can use. 
On the one hand, it's much 

736
00:44:31,640 --> 00:44:36,320
easier to fish people because I 
get fishing these days is is 

737
00:44:36,920 --> 00:44:39,000
almost impossible to to to tell 
apart. 

738
00:44:39,160 --> 00:44:42,280
And then on the other hand, the 
factor that you use to 

739
00:44:42,280 --> 00:44:47,040
compromise is now much easier to
to deploy because it's easier to

740
00:44:47,040 --> 00:44:51,240
find vulnerabilities. 
So I think LMS on the offensive 

741
00:44:51,240 --> 00:44:56,000
side are somewhat scary just for
the the increasing pace and 

742
00:44:56,680 --> 00:44:59,680
making it hard to detect. 
Yeah. 

743
00:44:59,680 --> 00:45:02,280
I mean, gone are the poorly 
written emails and text 

744
00:45:02,280 --> 00:45:04,120
messages, Yeah, with second 
language. 

745
00:45:04,120 --> 00:45:06,560
And now it's, yeah, like I said,
very, very difficult to detect. 

746
00:45:06,560 --> 00:45:08,520
And it's going to happen at some
point. 

747
00:45:08,520 --> 00:45:11,360
So you know what, the AIS fight 
each other and then just let me 

748
00:45:11,360 --> 00:45:13,880
know who wins sort of at the 
end. 

749
00:45:14,840 --> 00:45:16,240
Definitely appreciate you taking
time with us. 

750
00:45:16,240 --> 00:45:18,840
Vincenzo, is there anything that
you'd like to get out for people

751
00:45:18,840 --> 00:45:21,520
that we haven't covered yet that
the people should know about 

752
00:45:21,520 --> 00:45:25,080
Slash ID? 
No, I think, I think we we 

753
00:45:25,080 --> 00:45:28,960
covered everything. 
I will say maybe one last thing,

754
00:45:28,960 --> 00:45:33,000
which is Jim mentioned that 
achieving these privileges is 

755
00:45:33,000 --> 00:45:35,480
very hard. 
One of our maybe contrarian 

756
00:45:35,480 --> 00:45:37,960
beliefs is that achieving these 
privileges is impossible, which 

757
00:45:37,960 --> 00:45:40,400
is the reason why you need 
detection and response 

758
00:45:40,400 --> 00:45:43,360
capabilities because you'll 
never be at a place where 

759
00:45:43,360 --> 00:45:45,760
everything is perfect. 
Everything is properly segmented

760
00:45:45,760 --> 00:45:47,920
from under 19 standpoint. 
And so you need to have the 

761
00:45:47,920 --> 00:45:50,360
ability to detect and response 
and respond to attacks. 

762
00:45:51,600 --> 00:45:53,840
I, I can, I can, I can 
definitely agree with that. 

763
00:45:53,840 --> 00:45:56,360
I think, you know, perfection is
very difficult to achieve. 

764
00:45:56,360 --> 00:45:58,120
So you need something to detect 
the stuff. 

765
00:45:58,120 --> 00:46:00,400
So I'm on board with that one 
for sure. 

766
00:46:00,400 --> 00:46:05,800
So we'll point people to the 
website slashid.com/IDAC. 

767
00:46:05,920 --> 00:46:08,160
We'll have that in our show 
notes as well as your LinkedIn 

768
00:46:08,160 --> 00:46:10,920
profile if people want to reach 
out, have questions, you know, 

769
00:46:10,920 --> 00:46:13,240
maybe share a, a Black Hat war 
story or two, whatever that 

770
00:46:13,240 --> 00:46:15,440
might look like. 
So definitely, again, appreciate

771
00:46:15,440 --> 00:46:18,000
you taking time with us and 
thanks everybody for watching 

772
00:46:18,000 --> 00:46:20,240
and or listening. 
So you can find us on the web, 

773
00:46:20,440 --> 00:46:24,920
IDC, podcast.com and yeah, we'll
talk with everyone and the next 

774
00:46:24,920 --> 00:46:25,880
one. 
Thank you both. 

775
00:46:28,440 --> 00:46:31,400
You've been listening to 
Identity at the Center. 

776
00:46:31,760 --> 00:46:35,840
We hope you've enjoyed the show.
Make sure to like, rate and 

777
00:46:35,840 --> 00:46:39,480
review, and we'll be back soon. 
But in the meantime, hit the 

778
00:46:39,480 --> 00:46:42,880
website at 
identity@thecenter.com. 

779
00:46:43,480 --> 00:46:47,600
See you next time on Identity at
the Center.

