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Identity and access management 
welcome to the identity at the 

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center podcast. 
This is Jeff and that's Jim. 

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Hey, Jim hey Jeff, how's it 
going? 

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Pretty good. 
Good, you getting ready for 

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vacation next week? 
Oh wait. 

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You know, me going on vacation 
to a hot spot of, please, please

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do not contract anything because
I'm going to be swamped if not 

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if so. 
You know what I find ironic 

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though is I'm going to Florida 
for in because no, and I booked 

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it like three months ago when it
looked like Florida was the safe

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place compared to New York and 
New Jersey well. 

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Now, New York and New Jersey are
saying, hey, if you're coming 

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from Florida, you're going to 
need to self quarantine for two 

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weeks. 
Well, isn't that ironic? 

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Yep, that's the way it works. 
We're doing a great job of 

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containing this but I don't want
to get political on it because 

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like everything else. 
It's now everything is political

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political except The Insider 
threat. 

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That is still a political I'm 
excited about having that as, 

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you know, our main topic today 
and, you know, I've always felt 

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like, oh, maybe maybe does get 
political but I've always felt 

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like it's an ignored area 
because it Take the focus is so 

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much on getting hacked from the 
outside. 

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And, you know, since I've been 
in it that the standard approach

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has been hard, crunchy shell and
kind of soften the inside. 

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In other words, have a firewall 
really guard, the perimeter of 

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your network and then trust the 
people inside, heck, Jeff. 

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You and I work with clients all 
the time where we hear, you 

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know, well only we only have 
this number of people with 

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administrative accounts and what
it boils down to is. 

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These are the people that we 
trust, but The Insider threat is

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very real. 
And, you know, we we have one 

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slide that we pulled from the 
Gartner, IM Summit back in. 

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Nineteen feels like a century 
ago, but back in 19 and it 

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talked about you know, the 
percentage of actors who make up

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each data breach and was the 
Insiders are like over 30 

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percent so it's a very real 
issue. 

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Shoo. 
Yeah, I think that traditional 

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thinking of the you know the M&M
right, the crunchy shell and the

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soft gooey Center is something 
that was you know 20 years ago 

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you know maybe even ten Outta 
ten years ago but you know this 

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whole zero trust framework has 
come about what you think is 

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good and you do have to watch 
the out for The Insider threat, 

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a third of a tax, you know, 
roughly come from the inside and

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it's typically you know you 
don't want to You don't really 

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care about your normal users 
other than as a means to an end,

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right? 
They want to get into the 

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accounts that actually have 
access to things that are 

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important from a data 
perspective or from a social 

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engineering perspective, right? 
If you can breach the executive 

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account, you can pretty much ask
for whatever you want, people 

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give it to you. 
So that's one way to do it. 

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So, it's a good thing that we're
talking Insider threat because 

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we also have a guest today we 
have for preamp security film 

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analysis. 
Welcome Phil. 

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Hey, thank you. 
Great - yeah. 

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So we know one of the things 
that we like to get into with 

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all of our guests as before we 
get into, kind of the topic here

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is kind of their background and 
I am and you know what? 

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They've been working on and 
maybe we can start there Phil. 

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Where did, how did you get into?
I am. 

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Let's start there. 
Sure. 

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So I started my career in and 
really software engineering and 

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post sales Professional 
Services. 

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And then when I started in, I am
was about 10 years ago. 

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I joined a company called in 
Privada, which focuses on strong

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authentication and single 
sign-on for hospitals and 

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Healthcare Systems. 
I wanted to get into pre-sales 

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engineering so I started there 
as an inside SE and then moved 

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into selling in the field. 
After a couple years, then 

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started to manage a team of 
about 82 Tennessee's from there.

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I had a year in network security
as a little bit. 

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Gap but then I missed it so 
much. 

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I came back to I am focusing on 
security where I am now at 

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cramps. 
She actually started with I am, 

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which is kind of interesting 
because most of the folks that 

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we talked to Lisa and my 
experience my. 

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So, my theory is that most 
people who are in, I am didn't 

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start there, they started 
somewhere else, and then kind of

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fell into the, I am space. 
So, thanks for pulling that up 

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for me. 
Appreciate that. 

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What? 
So I was a software engineer. 

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I was on the post Hillside that.
That was, that was not. 

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I am that was complete, so it's 
for your theory. 

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Does still stand. 
Okay, good safe. 

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Appreciate you. 
So now you're a preamp security,

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can you tell us a little about 
what preamp does and what you're

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doing for them? 
Yep. 

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Preamp. 
So Prim takes a, look at your 

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users identities. 
Just behaviors the different 

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risks are user or an endpoint 
has and combine those all 

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together to understand where the
risks in your environment. 

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How can we proactively address 
those risks and then putting in 

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place, the ability to do things,
like, trigger MFA or 

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conditionally block access when 
rules are in place to to decide 

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the user shouldn't be doing what
they're supposed to do. 

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Doing, or maybe they're doing 
something suspicious or 

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malicious. 
That should be contested. 

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So, basically the perfect person
to have on to talk about Insider

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threat, huh? 
So there's a report that you 

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guys are now we're working on 
and you guys have been kind 

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enough to, you know, share maybe
some stats before that gets gets

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out there and we'll have a link 
to it as part of our show notes 

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for people who are listening out
there, I know that you guys have

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been working on this for a while
and it's around the hidden risks

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of Workforce identities. 
Maybe we can start with that. 

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You know, are there? 
Either you know what's what are 

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some of the key findings that 
you think you took away from 

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what you might find in that 
report? 

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I think some of the biggest ones
that I was surprised by were 

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just taking a look at users and 
all users in general. 

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We could found that 10% of all 
users were found to be high 

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risk. 
So whether it's a privileged 

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user, a regular user without 
privileges, a service account 

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ten percent of those users had 
risks associated with them that 

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considered that user to be high 
risk. 

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So things that contribute to 
high risk, things like does the 

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user is the user using a 
compromise or weak password. 

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That's been part of a known. 
Breach, our are their password 

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policies, not strong enough. 
So do they have a password 

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policy that doesn't require? 
Let's say, over 10 characters or

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the complexity is minimal. 
So those are just a couple of 

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examples of Factors contributing
to high risk, users one other 

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one. 
Other stat. 

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I thought that that was that 
stood out. 15% of accounts are 

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still authenticating with with 
ntlm every week. 

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That's a week, Microsoft active 
directory protocol that has been

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replaced by by Kerberos, but 
there's still plenty of 

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applications out there that 
require Or ntlm. 

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So the fact that that that 
protocol is still out there and 

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still is being used not just by 
regular users, but by privileged

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users as well, really exposes 
them to two different types of 

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attacks. 
Yeah, ntlm is really kind of 

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designed for interoperability, 
right? 

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So a lot of, you know, that's 
what happens when you try to try

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to do too much with one thing, 
right? 

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You're trying to make things 
Backward, Compatible. 

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You have to inherit, maybe some 
security weaknesses that come 

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along with that Jimmer. 
You say something cause you're 

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saying, you know, pretty much 
exactly what you said, but I was

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also going to say that ntlm and 
teal and man I guess antisense 

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for new technology, right? 
Because that package And T 3 .5 

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+ NT 4.0 days. 
That was new technology. 

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But ntlm has been around for a 
long time, right? 

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And one of the ogs right, when 
it comes to Windows 

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authentication. 
Yeah. 

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It's oh gee. 
Okay. 

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I think maybe they need to 
Rebrand. 

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It may be new technology isn't 
the rate monitor for it? 

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But I think it's too late now. 
Yeah. 

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A ilm. 
Yeah, so it's definitely 

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something Felton plan, man. 
We make it sound very new. 

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Four against a film. 
Sorry. 

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I was just going to say, we're, 
you know, we're definitely 

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seeing customers, trying to 
remove the amount of NT elements

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used in their environments. 
And it's, it's a struggle. 

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It's hard to to, to fight that 
battle and understand who is 

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using that protocol where it's 
being used, where it's forced to

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being used. 
We see a lot of security tools 

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using using ntlm and requiring 
ntlm. 

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So it's a, it's Like the 
password. 

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It's it's it's something that 
will will be around for a while.

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Let's try it. 
We're trying to remove it from 

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an Enterprise's but it's a tough
thing to to completely abolish. 

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Yeah. 
Especially because a lot of 

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these accounts, maybe our 
service accounts, right? 

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Or things along those lines 
which may not have multi Factor 

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associated with it, because of 
the nature of it, right? 

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You don't have a service 
account. 

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You have some, some poor guy out
there with the fennec are just 

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going off. 
Every second to approve 

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everything. 
So, you know what? 

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I guess, maybe we should kind of
work its way backwards from. 

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So if you've got an ntlm, hash 
right, where the Kerberos ticket

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might be going against, that's 
something that can be exported 

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out of an organization and you 
could run Brute Force attacks on

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that. 
Is that right? 

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That's right. 
So, one of the, one of the 

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common attacks that we see is an
attack called Kerberos Ting and 

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what that is. 
Where you typically service 

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accounts have what's called an 
ESPN associated with them, a 

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service principal name that 
allows them to uniquely identify

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them and allows them to request 
an application to request that 

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service authenticate and what 
users can do? 

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It's in. 
It's a very any user can do. 

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This is request all the accounts
in active directory. 

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That has Of an Espeon associated
with them. 

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So it could be a service 
account, it could be a human 

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account as well. 
So once that's done requesting 

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those, those Kerberos tickets 
for all those users who is where

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is Aunt, was where an attacker 
can can take those tickets and 

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attempt to correct those hashes 
offline, The Brute Force. 

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So if any of those users, 
whether human or service account

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has a password that is is weak 
because of Having a bad password

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policy or its week because it's 
been compromised, or part of a 

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known bridge that that password,
or that hash can be easily 

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cracked. 
Yeah, I think, you know, I think

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that's really important for 
people understand is that this 

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is an offline attack, right? 
Once you've exfiltrated those 

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password hashes, you can spend 
as much time as you want, trying

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to crack it. 
And, you know, those accounts or

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those, those hashes I should 
say, without ever, you know, 

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coming up on anyone's radar 
essentially. 

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So, really, the key is to kind 
of catch people who are 

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requesting, maybe the ESPN's 
within an organization, right? 

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Or requesting in a normal 
amount. 

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Out of Kerberos tickets, you 
know, those sort of things to 

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try and, and identify a 
potential, you know, compromise 

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kind of incident. 
So I think that's, I think 

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that's really important to 
understand is that you said 

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something, he there is that, you
know, any active directory, user

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can request it. 
Right and active directory users

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are typically insiders, right? 
So you know, if you've got 

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someone who is either assume the
identity of one of your insiders

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or one of your insiders and is 
looking to do some damage, you 

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know that's a great way. 
To kind of work on it on your 

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own time and come back. 
And, you know, if you especially

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if you've got service accounts 
that are using weak passwords or

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cracked passwords, this is why 
you want to have really strong 

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passwords for those accounts 
that are randomize and never 

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used anywhere else make it. 
You don't want to make it easy 

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for people to kind of roast you 
from the inside. 

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And it comes with all the time 
when when customers conduct pain

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tests could roasting is one of 
the most Common techniques used 

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by pentesters and usually is one
of the findings that they have 

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where they were able to 
successfully, grab an account 

227
00:13:56,600 --> 00:13:59,000
credentials through through that
type of attack. 

228
00:14:00,900 --> 00:14:04,600
You know, I learned to inject 
here, jet to just kind of talk a

229
00:14:04,608 --> 00:14:08,100
little bit about motives because
I think sometimes when it comes 

230
00:14:08,100 --> 00:14:12,700
to this, it's maybe a little 
bit, esoteric, for a see, CEO of

231
00:14:13,900 --> 00:14:16,900
a company that hasn't 
traditionally thought of 

232
00:14:16,900 --> 00:14:18,800
themselves as a Target. 
Right? 

233
00:14:18,800 --> 00:14:23,200
They the Banking and Financial 
Services industry, has long held

234
00:14:23,200 --> 00:14:28,200
themselves a Target because hey,
if I steal banking information 

235
00:14:28,200 --> 00:14:34,500
from people or I can turn that 
into getting money but it's 

236
00:14:34,500 --> 00:14:38,300
really the information that 
leads to either the financial 

237
00:14:38,300 --> 00:14:41,300
crimes and pack. 
I mean I think what we're seeing

238
00:14:41,300 --> 00:14:45,600
going on in the world not just 
recent events but just over the 

239
00:14:45,600 --> 00:14:51,800
past couple decades is is really
that there's there are other 

240
00:14:51,800 --> 00:14:55,100
motives than just Financial 
crimes Financial crime. 

241
00:14:55,100 --> 00:14:59,400
Still leads the is the majority.
But you know just getting data 

242
00:14:59,400 --> 00:15:04,000
about people. 
You know and stealing emails and

243
00:15:04,000 --> 00:15:08,200
things like that, you can either
blackmail a company which of 

244
00:15:08,200 --> 00:15:12,200
course the financial crime or 
you can just embarrass a 

245
00:15:12,200 --> 00:15:14,200
company. 
And there are a lot of clients 

246
00:15:14,200 --> 00:15:19,100
that we've worked with, who are 
very afraid of kind of having a 

247
00:15:19,100 --> 00:15:23,000
Sony type incident where their 
emails were dumped out on the 

248
00:15:23,000 --> 00:15:26,000
dark web. 
And, you know, it just really 

249
00:15:26,200 --> 00:15:32,300
hurt their company from like a 
Branding perspective. 

250
00:15:32,600 --> 00:15:34,800
But I've talked to seizures 
before. 

251
00:15:34,800 --> 00:15:37,300
He said, you know, we're not a 
bank. 

252
00:15:37,300 --> 00:15:42,900
We make food, but as long as you
are, the keeper of private 

253
00:15:42,900 --> 00:15:46,100
information on, you have social 
security numbers, maybe you have

254
00:15:46,100 --> 00:15:52,000
even more more sensitive pii 
data, you could be a target for 

255
00:15:52,000 --> 00:15:55,100
these Insider threat. 
So I guess the long and short of

256
00:15:55,100 --> 00:16:00,100
it is that I can't imagine any 
company that this isn't kind of 

257
00:16:00,100 --> 00:16:01,700
an ace. 
Recent issue too. 

258
00:16:01,700 --> 00:16:04,200
And I think everybody is 
listening. 

259
00:16:04,200 --> 00:16:09,500
Should take this very seriously.
Absolutely. 

260
00:16:10,300 --> 00:16:14,500
And I guess what I'd like to do 
is complete the pick, this kick 

261
00:16:14,500 --> 00:16:17,900
this back to fill because you're
working a lot of inside threads.

262
00:16:18,500 --> 00:16:23,200
What are you seeing in terms of 
industries, that seem to be more

263
00:16:23,200 --> 00:16:28,300
interested in this versus 
Industries, who are investing 

264
00:16:28,300 --> 00:16:32,100
Less on The Insider threat or 
you see it pick up across the 

265
00:16:32,100 --> 00:16:35,900
board? 
I think it's, you know, I think 

266
00:16:36,400 --> 00:16:40,400
across of all the industries of 
think Financial Services is 

267
00:16:40,400 --> 00:16:45,800
probably the highest, but really
the, the the interest is across 

268
00:16:45,800 --> 00:16:49,200
the board. 
It's an issue in any vertical, 

269
00:16:51,100 --> 00:16:55,100
and we're seeing that as we work
with our, with our customers, 

270
00:16:56,500 --> 00:17:00,000
it's Insider threats. 
It's its external threats. 

271
00:17:00,000 --> 00:17:08,099
It's really It's something that 
every customer and you mentioned

272
00:17:08,099 --> 00:17:11,200
that the Foodservice industry. 
Also the retail industry 

273
00:17:11,700 --> 00:17:17,900
Healthcare there are there are 
there's data to be to be taken 

274
00:17:17,900 --> 00:17:21,700
and and to be sold and whether 
it's for a malicious intent or 

275
00:17:21,700 --> 00:17:26,900
whether it's for just somebody 
snooping, its users are are 

276
00:17:26,900 --> 00:17:30,300
trying to access things that 
they're most likely not supposed

277
00:17:30,300 --> 00:17:34,000
to be in the find ways to do it,
and that's it. 

278
00:17:34,100 --> 00:17:36,500
Back to service accounts. 
That's that's something that we 

279
00:17:36,500 --> 00:17:41,300
often seek service accounts have
elevated, privileges typically 

280
00:17:41,300 --> 00:17:45,300
to do the tasks that they were, 
they were made to do, but 

281
00:17:45,800 --> 00:17:49,100
there's a human that that has 
access to those service account 

282
00:17:49,100 --> 00:17:54,000
credentials and sometimes the 
leverage, those credentials to 

283
00:17:54,800 --> 00:18:00,300
perform their job quicker or 
easier because the credentials 

284
00:18:00,300 --> 00:18:03,500
are available to them through 
that service account versus not 

285
00:18:03,500 --> 00:18:04,900
having them too. 
Their own account. 

286
00:18:05,800 --> 00:18:08,800
So it's definitely understanding
what a service account is doing 

287
00:18:08,800 --> 00:18:14,000
where it's going. 
What it's what it's accessing is

288
00:18:14,000 --> 00:18:17,700
is very important, especially 
how that, that service counters 

289
00:18:17,700 --> 00:18:20,800
authenticating is it, is it 
doing that scheduled tasks or 

290
00:18:21,600 --> 00:18:26,300
what it was meant to do on a 
scheduled basis or is it logging

291
00:18:26,300 --> 00:18:30,500
interactively be already P or an
interactive logon where 

292
00:18:30,600 --> 00:18:32,500
someone's actually using those 
credentials in a way they 

293
00:18:32,500 --> 00:18:37,700
shouldn't be I think he's hit 
one of the things that Jim, and 

294
00:18:37,700 --> 00:18:40,200
I see quite a bit when we're 
working with organizations 

295
00:18:40,200 --> 00:18:43,900
around privileged accounts is in
service account. 

296
00:18:43,900 --> 00:18:46,900
Specifically is a lot of these 
have passwords that I have been 

297
00:18:46,900 --> 00:18:49,700
hard, coded, or set and are not 
change very often. 

298
00:18:49,800 --> 00:18:53,400
So if you have a user, who knows
what that service account ID and

299
00:18:53,400 --> 00:18:58,200
password is, if it can be 
difficult to change it certainly

300
00:18:58,200 --> 00:19:01,600
in a timely manner, unless 
you've got tools in place that 

301
00:19:01,600 --> 00:19:05,800
are helping you manage your 
Privileged access and, you know,

302
00:19:05,900 --> 00:19:08,600
people may walk out the door 
with that access then may keep 

303
00:19:08,600 --> 00:19:11,300
it for a while until either the 
discovered or someone says 

304
00:19:11,300 --> 00:19:13,400
change the password. 
So, I think it's a port from a 

305
00:19:13,408 --> 00:19:17,100
hygiene perspective to 
understand, you know, as a 

306
00:19:18,200 --> 00:19:21,900
privileged access management 
keyholder, if you're responsible

307
00:19:21,900 --> 00:19:24,900
for those types of keys is to 
make sure that those are being 

308
00:19:25,500 --> 00:19:29,200
changed on a routine basis. 
And you know that when you have 

309
00:19:29,200 --> 00:19:33,600
a, you know, termination event 
type thing that anybody who It 

310
00:19:33,600 --> 00:19:37,000
had access to that, that you 
make sure that you definitely 

311
00:19:37,000 --> 00:19:40,700
change those accounts. 
Yeah, I say we see that everyday

312
00:19:40,800 --> 00:19:46,400
wear and application was brought
in to an Enterprise and back in 

313
00:19:46,400 --> 00:19:49,800
2005 and then a service account 
was created specifically for 

314
00:19:49,800 --> 00:19:53,600
that application. 
It was set with, you know, high 

315
00:19:53,600 --> 00:19:56,500
privilege, has a password set to
never expire. 

316
00:19:57,000 --> 00:20:02,600
And then, Here Comes 2020. 
And we see that that same the 

317
00:20:02,600 --> 00:20:05,900
the password has been Unchanged 
in 15 years, it's still set to 

318
00:20:05,900 --> 00:20:08,800
never expire. 
And now it's been part of a 

319
00:20:08,800 --> 00:20:11,700
known Bridge. 
So it's considered a compromise 

320
00:20:11,700 --> 00:20:16,800
password so the combination of 
the high privileges not being 

321
00:20:16,800 --> 00:20:20,000
changed in a long time, not 
needing to be changed and the 

322
00:20:20,000 --> 00:20:27,200
worry of an Enterprise to change
that password because they're 

323
00:20:27,300 --> 00:20:29,800
nervous about what they're going
to break if they do change that 

324
00:20:29,800 --> 00:20:32,700
password because they don't know
what that service count is 

325
00:20:32,700 --> 00:20:35,700
doing. 
It's a very real concern but 

326
00:20:35,700 --> 00:20:39,500
it's also like if you have a 
house and you know you know your

327
00:20:39,500 --> 00:20:43,000
electric bills $200 a month and 
you know that there's all these 

328
00:20:43,000 --> 00:20:46,400
leaks you've got to go around 
and start sealing them up. 

329
00:20:46,400 --> 00:20:49,600
You can't just say there's so 
many leaks in this house that 

330
00:20:49,900 --> 00:20:52,500
will never get to the mall. 
So we're not going to do 

331
00:20:52,500 --> 00:20:55,700
anything because they think if 
you go around and you close up, 

332
00:20:56,000 --> 00:20:59,100
you know, 50% of leaks, you're 
going to drop that electric bill

333
00:20:59,100 --> 00:21:02,600
quite significantly. 
You know, I think that's one way

334
00:21:02,600 --> 00:21:04,600
of looking at it. 
It another words what I'm 

335
00:21:04,600 --> 00:21:09,200
getting at is that you don't 
have to be perfect to be better 

336
00:21:09,700 --> 00:21:13,300
and I think that's a big thing. 
That holds you back is that the 

337
00:21:13,300 --> 00:21:16,600
enormity of the problem the 
enormity of how do we get our 

338
00:21:16,600 --> 00:21:19,700
arms around this situation. 
We have so many service account 

339
00:21:19,800 --> 00:21:22,800
you mentioned that service 
account after. 

340
00:21:23,100 --> 00:21:25,000
And I know this this area very 
well. 

341
00:21:25,000 --> 00:21:28,700
We're their service accounts. 
Like where are all the places it

342
00:21:28,700 --> 00:21:32,800
could be it's being used and 
things like that. 

343
00:21:32,800 --> 00:21:36,400
But You have a service account 
seeing around for long enough. 

344
00:21:36,800 --> 00:21:39,600
A lot of people who are no 
longer with your organization 

345
00:21:39,600 --> 00:21:43,200
potentially know that password 
or a potentially that passwords 

346
00:21:43,200 --> 00:21:47,800
gotten out on the internet, 
probably the passwords very we 

347
00:21:47,800 --> 00:21:50,200
could be could be proved forced 
potentially. 

348
00:21:52,200 --> 00:21:56,000
If that comes back to those part
of a breach, you can bet your 

349
00:21:56,000 --> 00:21:58,100
bottom dollar, they're going to 
change that password. 

350
00:21:59,300 --> 00:22:01,200
So they're going to figure out a
way to Julie. 

351
00:22:01,400 --> 00:22:06,300
So why are we eating till After 
the breach has occurred, that's 

352
00:22:06,900 --> 00:22:10,100
unfortunately, that's what we 
see a lot in the industry is 

353
00:22:10,100 --> 00:22:14,400
that when two things get taken 
seriously, after they've gone 

354
00:22:14,400 --> 00:22:17,000
too far right after a breach has
occurred. 

355
00:22:17,300 --> 00:22:18,900
Now, we're going to take it 
seriously. 

356
00:22:18,900 --> 00:22:23,900
Well, you know, too bad, we take
it seriously before that, right?

357
00:22:23,900 --> 00:22:30,200
It's understanding where those 
those risks are as far as, from 

358
00:22:30,200 --> 00:22:33,300
a user perspective or from a, an
end point perspective and 

359
00:22:33,500 --> 00:22:37,000
Proactively cleaning them up 
just you know you again like you

360
00:22:37,000 --> 00:22:40,200
said, you can't be perfect but 
it helps a great deal if he can 

361
00:22:40,200 --> 00:22:42,900
do it ahead of time before 
before something bad happens. 

362
00:22:43,500 --> 00:22:46,600
One of the things that Jeff and 
I talked about a lot because 

363
00:22:46,600 --> 00:22:50,800
comes back in various reports 
and surveys that are done is how

364
00:22:50,800 --> 00:22:54,000
long it takes to realize that a 
breach has occurred. 

365
00:22:54,000 --> 00:22:57,600
And I don't think that the 
numbers are consistent because 

366
00:22:57,600 --> 00:23:01,200
there's a report that came out 
recently that you know shortened

367
00:23:01,500 --> 00:23:03,300
versus what I've seen in the 
password. 

368
00:23:03,400 --> 00:23:07,500
Just, you know, I'm on the 
magnitude of six months plus to 

369
00:23:07,900 --> 00:23:13,000
discover breach, but I think, 
you know, when I think about 

370
00:23:13,000 --> 00:23:17,600
what has happened in, I am over 
the past five years, the 

371
00:23:17,600 --> 00:23:24,700
definition of I am is changing 
from who has access to what to 

372
00:23:24,800 --> 00:23:29,200
who has access to, what plus was
being done with that access. 

373
00:23:29,500 --> 00:23:34,000
And that's to me, you know, 
really the next Frontier Choose 

374
00:23:34,300 --> 00:23:38,700
ensure, you know, expanding our 
scope to buy and not just to 

375
00:23:38,700 --> 00:23:41,700
make sure that the right 
accounts have the right access 

376
00:23:41,700 --> 00:23:44,100
and we have shown controls or 
who can log in. 

377
00:23:44,400 --> 00:23:48,900
But then monitoring the use of 
that access and being able to, 

378
00:23:50,900 --> 00:23:55,600
you know, Define patterns for 
normal behavior and identify 

379
00:23:55,800 --> 00:23:58,500
when that normal behavior is not
being followed. 

380
00:23:58,500 --> 00:24:03,100
So, you know, today, this 
account that only logged in as a

381
00:24:03,100 --> 00:24:07,000
sir, Discount once in a while 
logged in through the VPN, it's 

382
00:24:07,000 --> 00:24:10,000
a legit through the VPN before. 
Whoa. 

383
00:24:10,000 --> 00:24:13,000
Well, maybe somebody better look
into that, right? 

384
00:24:14,400 --> 00:24:18,600
And I think that that's, that's 
the biggest change I've seen in 

385
00:24:18,600 --> 00:24:20,500
I am recently. 
I think there are a lot of 

386
00:24:20,500 --> 00:24:26,200
things happening with AI and and
things like that, but to me the 

387
00:24:27,300 --> 00:24:30,800
understanding of what identities
are doing on the network is 

388
00:24:30,800 --> 00:24:33,500
really the big next. 
Sure. 

389
00:24:33,500 --> 00:24:36,300
And it helps with Insider 
threats and it helps with 

390
00:24:37,400 --> 00:24:40,000
external outside or breaches as 
well. 

391
00:24:42,300 --> 00:24:45,400
Man if only there was a podcast 
that you know, focused on 

392
00:24:45,400 --> 00:24:49,700
identity and why it's important 
cheese where can I find 

393
00:24:49,700 --> 00:24:51,300
something like that? 
I don't know. 

394
00:24:51,300 --> 00:24:54,500
There's one that's been around 
for about a year it's going up 

395
00:24:54,500 --> 00:24:59,200
on that but I you you bring up a
really interesting point in that

396
00:24:59,200 --> 00:25:01,700
is that, you know, identity 
really is at the center of a lot

397
00:25:01,700 --> 00:25:05,700
of these things, especially when
it comes to threat detection, 

398
00:25:06,900 --> 00:25:09,500
Phil, what kind of role do you 
see identity playing when it 

399
00:25:09,500 --> 00:25:15,700
comes to identifying threats? 
It's so one interesting stat I 

400
00:25:15,700 --> 00:25:23,100
saw her recently was that 80% of
the text breach, the identity 

401
00:25:23,100 --> 00:25:28,300
store or credential compromise 
or an Insider using credentials 

402
00:25:28,300 --> 00:25:33,700
inappropriately, so focusing on 
identity based attacks just 

403
00:25:33,700 --> 00:25:37,300
makes sense. 
It's if we're seeing the 

404
00:25:37,300 --> 00:25:42,700
majority of attacks or on this 
the identity side, it's 

405
00:25:42,700 --> 00:25:47,800
obviously the best place to 
start to start to look at. 

406
00:25:48,000 --> 00:25:51,900
How are we going to detect these
different types of attacks and 

407
00:25:51,900 --> 00:25:56,600
also prevent them prevent them 
from continuing on prevent them 

408
00:25:56,600 --> 00:25:59,800
from from moving across the 
network? 

409
00:26:01,600 --> 00:26:05,200
What are some of the things that
organizations can look for when 

410
00:26:05,200 --> 00:26:09,700
it comes to Identity and trying 
to find, you know, indicators of

411
00:26:09,700 --> 00:26:14,900
compromise? 
So really things like as Jim was

412
00:26:14,900 --> 00:26:21,700
just mentioning before being 
able to identify a user or an 

413
00:26:21,700 --> 00:26:26,800
endpoint user, typically 
accessing servers, a b and c. 

414
00:26:27,000 --> 00:26:30,500
Now, all of a sudden for the 
first time ever there, They're 

415
00:26:30,500 --> 00:26:37,300
accessing server D, is that 
something that is should be 

416
00:26:37,300 --> 00:26:39,200
allowed? 
Should we should? 

417
00:26:39,400 --> 00:26:40,700
Do you want to take an action on
that? 

418
00:26:40,700 --> 00:26:43,000
Do you want to alert somebody, 
the fact that that happened 

419
00:26:43,800 --> 00:26:49,700
trigger MFA should up block that
access being able to see again, 

420
00:26:49,700 --> 00:26:52,200
starting with visibility 
understanding where the risks 

421
00:26:52,200 --> 00:26:56,300
are in your environment on a per
user per endpoint bases. 

422
00:26:56,900 --> 00:27:00,700
Being able to clean that up as 
much as possible, but But where 

423
00:27:00,700 --> 00:27:05,500
you can, when you see indicators
where somebody's doing something

424
00:27:05,500 --> 00:27:11,900
suspicious being able to take, 
take an action on that Jim, what

425
00:27:11,900 --> 00:27:13,900
about you? 
What do you see as some other 

426
00:27:14,000 --> 00:27:16,800
ways to look at identity and 
figure out if there's maybe a 

427
00:27:16,808 --> 00:27:20,900
potential incident? 
Well I think you know, again 

428
00:27:20,900 --> 00:27:26,300
kind of I think where I get 
energy comes into play is that 

429
00:27:26,400 --> 00:27:34,000
in the past, were we Had like a 
sock or knock focus on wear 

430
00:27:34,000 --> 00:27:36,900
breeches. 
May be taking place, it's been 

431
00:27:36,900 --> 00:27:42,400
IP based, so it's been devoid of
the context of identity. 

432
00:27:42,700 --> 00:27:45,900
We've looked for, hey, there's 
some weird activity that's 

433
00:27:45,900 --> 00:27:49,500
coming from this IP address 
across our network. 

434
00:27:49,600 --> 00:27:53,300
But it said, identity context, 
that tells you whether or not 

435
00:27:55,400 --> 00:27:59,400
that fits in from a user 
Behavior, Standpoint and to me, 

436
00:27:59,400 --> 00:28:04,400
that's really the key is Larry 
and identity, like I mentioned 

437
00:28:04,400 --> 00:28:10,200
earlier with the, you know, 
they're both important IP is 

438
00:28:10,200 --> 00:28:13,700
very important as well because 
you have a computer that all of 

439
00:28:13,700 --> 00:28:16,000
a sudden is like scanning the 
network. 

440
00:28:16,300 --> 00:28:19,100
It doesn't matter what I didn't 
either using, that's a problem. 

441
00:28:19,200 --> 00:28:22,400
Pray, that's a potential 
compromise that has happened 

442
00:28:22,400 --> 00:28:27,500
within your within your network,
but I mentioned that idea of 

443
00:28:27,500 --> 00:28:32,800
okay, we Service account that 
logs in I don't know twice a 

444
00:28:32,800 --> 00:28:36,300
year because that's how often 
those servers give rebooted for 

445
00:28:36,300 --> 00:28:40,100
example and all the sudden the 
logs in from the VPN, you know, 

446
00:28:40,100 --> 00:28:44,000
that one time event of logging 
into a VPN for an IP standpoint.

447
00:28:44,000 --> 00:28:47,100
Doesn't look like any kind of 
issue at all. 

448
00:28:47,500 --> 00:28:51,600
Especially if the login is 
happening from some, you know, 

449
00:28:51,600 --> 00:28:56,400
normal location either, you 
know, within the home country of

450
00:28:56,400 --> 00:28:59,700
that of that company or If the 
global company, who knows 

451
00:29:00,400 --> 00:29:02,300
there's no there's nothing about
that. 

452
00:29:02,300 --> 00:29:05,700
Login, that looks suspicious 
until you take the identity 

453
00:29:05,700 --> 00:29:08,800
context and wrapped around it. 
So to me that's what's so 

454
00:29:08,800 --> 00:29:14,900
important around. 
You know, Building A View From 

455
00:29:14,900 --> 00:29:19,700
identity standpoint of what is 
normal behavior so that you can 

456
00:29:19,700 --> 00:29:22,800
then identify, what is abnormal 
behavior? 

457
00:29:24,300 --> 00:29:26,400
I think those building blocks 
are really important, right? 

458
00:29:26,400 --> 00:29:30,200
You have to have to know who has
access to what and then what are

459
00:29:30,200 --> 00:29:31,500
they doing with? 
It is really important. 

460
00:29:31,500 --> 00:29:34,400
I think it also to it like I am 
hygiene when it comes to 

461
00:29:35,300 --> 00:29:37,200
inactive accounts dormant 
accounts. 

462
00:29:37,400 --> 00:29:39,300
Right. 
A lot of times you have accounts

463
00:29:39,300 --> 00:29:43,000
out there that haven't been used
in a year, two years, three 

464
00:29:43,000 --> 00:29:46,700
years and people are afraid to 
remove them or you know, do 

465
00:29:46,700 --> 00:29:50,200
whatever to clean them up 
because of the potential impact 

466
00:29:50,200 --> 00:29:54,300
of what it might cause versus, 
you know, the Of what could 

467
00:29:54,300 --> 00:29:56,700
happen if someone gets ahold of 
one those accounts that there's 

468
00:29:56,700 --> 00:29:58,600
I think there's a lot of 
different ways that the identity

469
00:29:58,600 --> 00:30:02,000
plays in that. 
Is there any difference between 

470
00:30:02,000 --> 00:30:06,100
trying to figure it out at the 
identity layer versus maybe just

471
00:30:06,100 --> 00:30:09,100
taking a log based approach? 
May be something like through a 

472
00:30:09,108 --> 00:30:12,000
Sim or a tool similar on those 
lines. 

473
00:30:13,000 --> 00:30:13,800
I guess. 
Phil. 

474
00:30:13,800 --> 00:30:16,200
Maybe that's a question for you,
sure. 

475
00:30:16,600 --> 00:30:20,500
So when you when you're able to 
look at it authentication as it 

476
00:30:20,500 --> 00:30:25,300
happens at the protocol level. 
So looking at Things like in 

477
00:30:25,500 --> 00:30:27,600
parade active directory as an 
example. 

478
00:30:28,300 --> 00:30:34,100
Ntlm, Kerberos ldap held at best
understanding and having the 

479
00:30:34,100 --> 00:30:37,600
advantage to detect things that 
are, that just aren't as easy to

480
00:30:37,600 --> 00:30:41,200
detect when looking at logs, 
things like attacks. 

481
00:30:41,200 --> 00:30:45,200
Like pass the hash ntlm relay, 
we talked about curb roasting 

482
00:30:47,000 --> 00:30:52,500
log based analysis is going to 
always be primarily detection. 

483
00:30:54,500 --> 00:30:57,900
Tried to take an action and stop
something suspicious and 

484
00:30:57,900 --> 00:31:02,000
potentially malicious, that 
happened minutes or hours ago. 

485
00:31:02,200 --> 00:31:04,000
It's just, it's just way too 
late. 

486
00:31:05,000 --> 00:31:09,900
You need to be able to, to, to 
Really prevent something from 

487
00:31:09,900 --> 00:31:13,500
from happening or prevent it 
from continuing to happen 

488
00:31:13,500 --> 00:31:16,400
quickly. 
You really need to, to be able 

489
00:31:16,400 --> 00:31:19,000
to look at the the 
authentications as they're 

490
00:31:19,000 --> 00:31:22,200
taking place. 
Yeah, I think this is where 

491
00:31:22,200 --> 00:31:24,700
artificial intelligence and 
machine learning is really kind 

492
00:31:24,700 --> 00:31:28,800
of become a Force multiplier for
security operations and other 

493
00:31:28,800 --> 00:31:32,400
folks who are looking at this 
because I know that my past one 

494
00:31:32,400 --> 00:31:34,500
of the things that had been 
historically challenging as 

495
00:31:34,500 --> 00:31:36,600
trying to find those needles in 
the haystack right? 

496
00:31:37,000 --> 00:31:39,900
When we're looking at tons of 
logs all day long right? 

497
00:31:39,900 --> 00:31:43,900
Need help and this is an area 
that you know, robots do really 

498
00:31:43,900 --> 00:31:47,000
good at spotting patterns and 
helping kind of fluff things up 

499
00:31:47,000 --> 00:31:51,200
the top not perfect, but if they
can reduce the The chaff that's 

500
00:31:51,200 --> 00:31:54,600
out there, it makes it easier to
respond on approach to and you 

501
00:31:54,600 --> 00:31:59,100
know in a fully mature and you 
know, Cutting Edge, I am system 

502
00:31:59,400 --> 00:32:01,100
or I am program where you've got
a bunch of different 

503
00:32:01,100 --> 00:32:04,100
Technologies working together. 
You can even automate some of 

504
00:32:04,108 --> 00:32:06,700
those things where, you know, 
maybe you do see a service 

505
00:32:06,700 --> 00:32:10,500
account login through VPN for 
the first time ever, and you've 

506
00:32:10,500 --> 00:32:13,500
got that connected up with your 
IGA, in your, your privileged 

507
00:32:13,500 --> 00:32:15,600
access management systems and 
you do something about it, 

508
00:32:15,600 --> 00:32:17,600
right? 
Maybe you change the password on

509
00:32:17,600 --> 00:32:21,100
it or you disable it or, you 
know, throught and Fay or 

510
00:32:21,100 --> 00:32:24,700
something on those lines to try 
and mitigate those attacks. 

511
00:32:26,100 --> 00:32:30,700
Yeah, it's it's something. 
Where you know, if you're if an 

512
00:32:30,700 --> 00:32:35,400
analyst is receiving Ten 
Thousand Words a day, it's going

513
00:32:35,400 --> 00:32:40,200
to be hard for them to decide 
which ones to react to and 

514
00:32:40,200 --> 00:32:46,300
respond to an investigate. 
It's much easier to after the 

515
00:32:46,300 --> 00:32:50,000
fact, after the incidents 
occurred to look back and say, 

516
00:32:50,000 --> 00:32:51,800
oh, okay. 
Oh, we did detect this in our 

517
00:32:51,808 --> 00:32:55,100
logs, but it was one of 10,000, 
which we didn't catch. 

518
00:32:56,000 --> 00:32:59,200
So the Fidelity of the different
types of awards that you're 

519
00:32:59,200 --> 00:33:01,500
receiving, has to be, has to be 
high. 

520
00:33:02,900 --> 00:33:05,100
Yeah, absolutely. 
I think that's, I think, I think

521
00:33:05,100 --> 00:33:06,500
that's just, it's super 
important, right? 

522
00:33:07,700 --> 00:33:10,200
If you can find it, you need to 
know what to do about it. 

523
00:33:10,200 --> 00:33:13,000
And I think the f is a big part 
of the of the problem. 

524
00:33:13,200 --> 00:33:16,400
Some are there, any specific 
types of threats that I'd any 

525
00:33:16,400 --> 00:33:18,900
information that can help stop? 
Whether it's at the credential 

526
00:33:18,900 --> 00:33:23,800
or the identity store level? 
Just looking at the Deep look at

527
00:33:23,800 --> 00:33:27,600
the identity store on its own 
provides, a ton of useful 

528
00:33:27,600 --> 00:33:30,200
information. 
So just understanding that the 

529
00:33:30,200 --> 00:33:34,800
basic ability to understand who 
your privileged users are not 

530
00:33:34,800 --> 00:33:38,600
the ones, not just the ones that
are easy to find, you know, in, 

531
00:33:38,600 --> 00:33:41,300
well, defined groups like 
domain, admins Enterprise, 

532
00:33:41,300 --> 00:33:44,700
admins account operators but 
also the ones that are 

533
00:33:44,700 --> 00:33:48,200
considered, you know, what we 
call Shadow admins are stealthy 

534
00:33:48,200 --> 00:33:50,600
admins ones that have been 
granted, privileges. 

535
00:33:50,700 --> 00:33:55,100
Images, individual delegated 
privileges over time. 

536
00:33:55,500 --> 00:33:57,200
Do they still need those 
privileges? 

537
00:33:57,600 --> 00:34:01,200
You know, they might have had a 
role in a company where they 

538
00:34:01,200 --> 00:34:04,400
were part of the helpdesk team 
and they were resetting 

539
00:34:04,400 --> 00:34:07,100
passwords. 
Now, they've moved on to a, 

540
00:34:07,800 --> 00:34:11,100
maybe a customer success for 
Professional Services role where

541
00:34:11,100 --> 00:34:14,699
they don't need that, that 
privileged anymore, but it was 

542
00:34:14,699 --> 00:34:19,800
never taken away from them. 
So, being able to identify the 

543
00:34:19,800 --> 00:34:25,100
Privileges of a you User of all 
your users and being able to 

544
00:34:25,100 --> 00:34:27,300
decide. 
You know, does this user still 

545
00:34:27,300 --> 00:34:29,400
need? 
This privilege is super 

546
00:34:29,400 --> 00:34:32,800
important. 
Absolutely. 

547
00:34:34,500 --> 00:34:37,600
I know we're coming up on time 
here and certainly appreciate 

548
00:34:37,600 --> 00:34:40,300
you helping us out with this 
topic. 

549
00:34:40,500 --> 00:34:43,400
I think cover roasting is the 
word of the day just because 

550
00:34:43,400 --> 00:34:47,500
it's a great use of it. 
But before we wrap up here Jim, 

551
00:34:47,500 --> 00:34:50,500
do you have any things you want 
to add to what we've discussed 

552
00:34:50,500 --> 00:34:51,900
so far today? 
Yeah. 

553
00:34:51,900 --> 00:34:54,800
And a couple thoughts on those 
holding onto your. 

554
00:34:54,800 --> 00:34:58,900
So one of them is just, you 
know, I think we have a lot of, 

555
00:34:58,900 --> 00:35:02,700
I am practitioners out there. 
And I, you know, I think about 

556
00:35:02,700 --> 00:35:09,200
what your question there earlier
of, you know, logging and to me 

557
00:35:10,000 --> 00:35:12,700
where you get your value from 
logging as what goes into the 

558
00:35:12,700 --> 00:35:15,300
logs, like, what are you, what 
are you collecting? 

559
00:35:15,300 --> 00:35:20,000
Is it just basic information? 
Or is there more to it? 

560
00:35:20,100 --> 00:35:21,900
I think, isn't I am 
practitioner. 

561
00:35:22,100 --> 00:35:27,800
It's our responsibility to 
establish a self-service, or a 

562
00:35:27,800 --> 00:35:33,600
shared service, that is clear. 
Easy for application teams to 

563
00:35:33,600 --> 00:35:35,800
use. 
And to make sure that they're 

564
00:35:35,800 --> 00:35:38,000
logging the information that we 
need. 

565
00:35:38,100 --> 00:35:41,500
Once we have the data, we can 
start to use the technology in 

566
00:35:41,500 --> 00:35:46,800
the AI in the machine learning 
to give us value, but there's 

567
00:35:46,800 --> 00:35:50,400
the whole thing, which is that, 
as I am practitioners, we don't 

568
00:35:50,400 --> 00:35:55,100
control the applications and we 
are beholden to the applications

569
00:35:55,100 --> 00:36:00,800
at some level to provide us, the
data, the logs, and so I think 

570
00:36:01,000 --> 00:36:04,700
It's our responsibility to make 
it available which also leads me

571
00:36:04,700 --> 00:36:07,700
to think about another 
responsibility that we have, 

572
00:36:07,700 --> 00:36:13,600
which is that, you know, we have
audit using the air quotes 

573
00:36:13,600 --> 00:36:16,100
because there's a lot of 
different names where audit 

574
00:36:16,100 --> 00:36:19,100
professionals, whether it's, 
your security risk, whatever you

575
00:36:19,100 --> 00:36:22,700
want to call it professionals 
within our organization, who 

576
00:36:22,700 --> 00:36:27,000
play an oversight role as a kind
of checks. 

577
00:36:27,000 --> 00:36:32,200
And balances to what we what we 
do in I am Or what applications 

578
00:36:32,200 --> 00:36:35,400
are doing and we're kind of the 
middleman making it available 

579
00:36:35,400 --> 00:36:38,500
for audit. 
So I just someone our listeners 

580
00:36:38,500 --> 00:36:43,200
not to forget that we need to 
design system so that it serves 

581
00:36:43,200 --> 00:36:47,800
the purposes of those checks and
balances because ultimately at 

582
00:36:47,800 --> 00:36:50,700
the end of the day it's 
providing services to 

583
00:36:50,700 --> 00:36:54,400
Applications but it's also 
making it so that it's secure 

584
00:36:54,400 --> 00:36:58,900
and the audit professionals 
play, a key role in that and 

585
00:36:58,900 --> 00:37:00,800
kind of making sure that we 
understand their requirements. 

586
00:37:00,900 --> 00:37:04,600
Moments, that usually, they're 
pretty technical people but not 

587
00:37:04,600 --> 00:37:09,400
the most technical people. 
And so we need to kind of frame 

588
00:37:09,400 --> 00:37:11,700
things in kind of their business
language. 

589
00:37:11,700 --> 00:37:16,400
So that they can take the 
security information and make 

590
00:37:17,300 --> 00:37:21,100
and be able to perform their 
activity, which is a checks and 

591
00:37:21,100 --> 00:37:24,000
balance over over what we're 
providing. 

592
00:37:24,100 --> 00:37:27,000
The last thing I wanted to say 
was just, you know, on the whole

593
00:37:27,300 --> 00:37:31,400
Insider threat thing. 
I think what should be very Very

594
00:37:31,400 --> 00:37:33,500
clear take away. 
If it wasn't already in your 

595
00:37:33,500 --> 00:37:37,900
mind is that you know the 
trusting of people is is 

596
00:37:37,900 --> 00:37:41,000
Honorable, right? 
But within our industry and with

597
00:37:41,000 --> 00:37:46,600
in what we do for a living trust
trust but verify I guess is you 

598
00:37:46,600 --> 00:37:50,500
know it's a the catchphrase they
often goes to this but trusting 

599
00:37:50,500 --> 00:37:55,700
people is is not the way to go. 
I always go back to a story of I

600
00:37:55,700 --> 00:37:58,900
work for a company and there was
a you know it's a little old 

601
00:37:58,900 --> 00:38:01,000
lady. 
The grandmother brought in In 

602
00:38:01,500 --> 00:38:03,900
chocolate chip, cookies and 
worked for the company for 20 

603
00:38:03,900 --> 00:38:05,600
years. 
And everybody trusted her. 

604
00:38:05,800 --> 00:38:08,100
And for 20 years, she was 
embezzling money from the 

605
00:38:08,107 --> 00:38:11,800
company a little bit at a time. 
And that just goes to show you. 

606
00:38:11,800 --> 00:38:14,600
If you can't trust her, you 
can't trust anybody. 

607
00:38:14,900 --> 00:38:17,800
And when people have super 
administrative rights and 

608
00:38:17,800 --> 00:38:20,200
they've been with the company 
for 10 15 years and they talk 

609
00:38:20,200 --> 00:38:24,000
the talk and you just you still 
need to have the checks and 

610
00:38:24,000 --> 00:38:27,600
balances and you still need to 
have the good governance 

611
00:38:27,600 --> 00:38:30,800
processes over your identity and
access management. 

612
00:38:31,000 --> 00:38:33,900
Information security as a whole.
So that's what The Insider 

613
00:38:33,900 --> 00:38:36,500
threat thing is all about is 
just because somebody works for 

614
00:38:36,500 --> 00:38:39,800
you just because they've been a 
loyal employee doesn't mean that

615
00:38:39,800 --> 00:38:43,800
they're not doing things in the 
background, like Phil said, 

616
00:38:43,800 --> 00:38:49,400
maybe it's for fun, maybe it's 
44 game and, you know, really 

617
00:38:49,400 --> 00:38:52,300
doesn't matter. 
People should be, you know, 

618
00:38:52,500 --> 00:38:56,200
following the rules. 
I'm not not breaking into 

619
00:38:56,200 --> 00:38:59,300
systems and things like that. 
So that's all I had to say about

620
00:38:59,300 --> 00:39:01,700
that job, okay? 
Okay, I want to make sure that 

621
00:39:01,700 --> 00:39:04,600
we're very clear here too. 
Is that chocolate chip chocolate

622
00:39:04,600 --> 00:39:05,800
chip? 
Cookies are totally fine to 

623
00:39:05,800 --> 00:39:08,800
bring to the office. 
So don't take away that. 

624
00:39:08,800 --> 00:39:11,300
That was that. 
That was - it was the embezzling

625
00:39:11,300 --> 00:39:13,800
part that was bad. 
The chocolate chunk, Ledger, 

626
00:39:13,800 --> 00:39:18,100
good, glad you cleared that up. 
I'm sure people miss that point.

627
00:39:20,200 --> 00:39:23,900
All right, Phil anything you 
want to close up with, yeah, 

628
00:39:23,900 --> 00:39:27,600
just to add to Jim's. 
Comment, a lot of times, 

629
00:39:28,300 --> 00:39:30,800
insiders might be doing 
something. 

630
00:39:31,000 --> 00:39:35,700
Suspicious, or malicious and 
intentional, but oftentimes, 

631
00:39:35,700 --> 00:39:39,700
it's completely unintentional. 
It's a mistake, they access 

632
00:39:39,700 --> 00:39:42,400
something. 
They did something that they 

633
00:39:42,400 --> 00:39:45,700
shouldn't have done, but it's 
not something that they were 

634
00:39:45,700 --> 00:39:49,100
doing on purpose. 
So, you know, like you said, 

635
00:39:50,800 --> 00:39:53,600
trust. 
But verify, make sure that the 

636
00:39:53,600 --> 00:39:57,700
the user is is what they're 
doing is even though they might 

637
00:39:57,700 --> 00:40:00,100
not be trying to do something 
harmful. 

638
00:40:01,400 --> 00:40:06,300
If you can proactively stop that
from happening, that's that's 

639
00:40:06,300 --> 00:40:08,200
ideal. 
I think trust. 

640
00:40:08,200 --> 00:40:09,900
But verify is, is really 
important. 

641
00:40:09,900 --> 00:40:13,300
And I like it, you said that, 
because I first heard that 

642
00:40:13,400 --> 00:40:17,900
phrase many, many years ago from
for mercy, so that I worked with

643
00:40:18,000 --> 00:40:22,400
Jim Kelly and that was kind of 
the motto at the time was trust.

644
00:40:22,400 --> 00:40:25,100
But verify, and I think that's 
stuck with me, you know, through

645
00:40:25,100 --> 00:40:28,400
the years is that trust is good,
but you need to make sure that 

646
00:40:28,400 --> 00:40:31,300
things are still being followed 
from a real perspective, I'm 

647
00:40:31,300 --> 00:40:33,100
glad you brought that up. 
So that's good. 

648
00:40:33,500 --> 00:40:35,100
With the hottest hitch. 
Phrase right now. 

649
00:40:35,100 --> 00:40:38,800
Jeff is your trust zero? 
Trust is zero trust but verify. 

650
00:40:40,100 --> 00:40:42,100
There you go. 
That's the next extension. 

651
00:40:42,500 --> 00:40:44,100
Yeah. 
All right. 

652
00:40:44,100 --> 00:40:46,100
Well I think that's a pretty 
good spot that we can leave it 

653
00:40:46,100 --> 00:40:48,700
for this week. 
Phil appreciate you taking the 

654
00:40:48,700 --> 00:40:52,700
time to spend with us. 
I know that you're on LinkedIn 

655
00:40:52,700 --> 00:40:55,300
and I'll be sure to put that 
profile on our show notes so 

656
00:40:55,308 --> 00:40:57,500
that way people out there have 
questions, you know, for 

657
00:40:57,500 --> 00:41:00,700
yourself or for preempt, they 
can get a hold of you there. 

658
00:41:00,900 --> 00:41:04,200
And looking forward to those 
findings getting published on 

659
00:41:04,200 --> 00:41:07,800
the preamp website at some point
and we'll provide a link to that

660
00:41:07,800 --> 00:41:10,900
as well. 
And the show notes and for folks

661
00:41:10,900 --> 00:41:12,900
who are falling off the show, 
you know, you can always visit 

662
00:41:12,900 --> 00:41:16,700
us at identity the center.com 
and we'll go ahead and wrap it 

663
00:41:16,700 --> 00:41:20,500
up for this week and stay happy 
and healthy, everybody, thanks 

664
00:41:20,500 --> 00:41:30,700
for listening. 
You've been listening to the 

665
00:41:30,700 --> 00:41:32,800
eye. 
Identity of the center podcast 

666
00:41:32,900 --> 00:41:35,800
for more episodes of visit 
identity at the center.com.

