We're discussing Ai and cybersecurity with one of the
foremost AI researchers in the world McCall.
Pacu check is the CTO of Jen. Yeah.
Thank you know I'm a special breed in a way you know I've
been an AI computer scientist for a kind of big part of my
life. I've been a professor went
through all these postdocs, sabbaticals, getting grounds
advising team. 80 students. All this Gizmo and I always was
super excited about what a I can have as a positive impact to
society. So I was going to one of those
crab occasionally in fact researchers and can back in
2005. We started couple of research
projects with my PhD students in the use of AI in the field of
cyber security at a time. You know, the AIO Is only coming
up as an application area and people were using AI for image
analytics. And the video analytics we just
wanted to make a breakthrough in the field over how Ai and
machine learning can be used in cybersecurity.
And believe me those days, it was very difficult to sell AI am
L to cyber security Specialists online today.
Do they say, I is driving all the cyber security analytics in
the majority of the systems that we use.
Use these days. And but you're after a couple of
startups and to working with the VCS, I was kind of invited that
asked, by Andrea Bocelli, who is a former CTO of almost then a
CEO. We was being promoted and he, he
kept talking to me and kind of getting me, slowly excited about
how fun it would be to use a I not for B2B cybersecurity for
Enterprise sector but try to use my creativity and experience for
building cybersecurity for consumers.
Ai and they both are basically for consumers and he planted
this bark. And here I am in the gym from a
vast Building Systems and running the R&D departments and
research labs and threat Labs. So that we build the best in
class cyber security for consumers.
Consumers are basically, this is what I do.
Do you want to give us maybe a brief overview of the
distinction between cyber security for the Enterprise and
cybersecurity for consumers? This one is extremely exciting,
especially these days when the cybersecurity as a field, is
undergoing a major change because you're in the the past
attackers and the other Us. 30 years, actually at the girls
were writing Malabar, and we'll start get it at computer systems
at the networks and the programs operating systems that people
used it was it was the duty of the Enterprise of the industry,
the business to make sure that there is of them, death cell
every Hardware, they sell every net with it.
Is there is a safe. Okay.
So and then users. Consumers were pretty much users
of this infrastructure. That the Enterprise sector have
made to be safe with the with the recent change that we see in
the industry were, it's not any longer, the vulnerability of the
operating systems, and the networks and the computers on
our devices, by it's more people that are the vulnerability.
And the supply chain, people are not only victims of cyber
security attacks, but people are also a conduit and Pieces on the
supply chain that not only consume but also participate in
deploying an attack. So people are getting in the
front People Are People cognition and the way how people
think and consume the internet is becoming the vulnerability
because of this major change there is now a lot more interest
in. Consumers are basic rate were
the expectation of the industry is to build Old technologies
that will be there covering people at the very end or when
they touch the internet. And this is a very, and as
recognition is what they see what they read the messages,
they receive the emotions they post.
So the consumer service that created these days needs to be
at this very edge of the internet, which is different
Edge. That was exciting than 50 years
ago. And I'm not only going to
talking about about my My what I think but your we have data, you
know, Jen as a company is, is a technology company that is a
house of a number of Technologic brands in the field of cyber
security. I originally come from a vast,
which is, which used to be the biggest European cyber security
brand that merged last year was not LifeLock, which was the
biggest consumer services with the brand and in others.
We because of our freemium offering, you know, animals.
We were going to do the first and the biggest and the premium
and consumer cyber security. We see close to half a billion
and points. So we see a huge part of the
internet and in this is visibility in gives us a data
where we see that. Currently, it's only 30% of the
attacks that we see on the internet.
And that are caused by a classical model board is
targeting devices, and network infrastructure was 70% of all
what we see are attacks like fishing and scamming attacks on
human cognition. Give in that, weird is a I come
into play to help prevent this aspect of the cybersecurity
supply chain. As you described it, we see See
attackers optimizing their costs and mocked and maximizing the
effect of deployment of the attacks.
And they were using a different automation techniques and
methodologies, including artificial intelligence.
Different kinds, not only emotional learning, but also
automated planning, automated reasoning different types of a
I4 G making detects as cheap as possible and as a large-scale
deployment as possible, so there was a lots of AI under the hood
or more Writing more attacks mobile deployment, in order to
be able to respond and to protect our consumers,
efficiently, the cybersecurity firms needed to deploy
high-grade, AI to protect the consumers because as soon as you
stop deploying the right level of automation against automated
attacks, you would be losing your Warfare.
There is no way how by even analysts you can defend the
automated High scale attacks that are coming from the
attackers. So, for this reason, AI has been
very well designed to be used on the side of the the defense.
But there have been a number of problems that we've experienced
as the Defenders. One of those were that for each
different type of attack that we see on the internet.
We're gonna need it to build a new AI detector, new AI,
classifier, we cybersecurity experts were building the
classifiers by designing features and doing lots of
training. And soon, we started to see that
this doesn't scale because we need a lot of programmers, and
cyber and subject matter experts who can help us to design those
algorithm those algorithms do so much.
E-learning tools. You're talking now about
signature-based. Yes, I'm talking about the
signature bass time over detection, exact.
Okay. And in order to be able to kind
of cope with this scalable scalability problem, explosion
of the types of malware that that we are seeing online.
We needed to deploy a deep learning kind of my thoughts.
That makes the programmers and the cybersecurity on the list
free. Of Designing the features.
So there is one type of algorithm.
If we're all design that you train on different types of
data, large data, and classified the detector exhibits.
More General detective detection capability and can be used
across the pipeline and the, the cyber security company and,
like, in a vast, what we did is we've build those a unique
General AI based methods, that help the user has to be to be
protected very well and you can imagine.
You can imagine this kind of similar to a current way.
How AI is effective in building, the large language models, what
we did is we've built a similar deep learning methods that were
not trained on natural language. But or Json files, internet is
written in Json. So like 70% of all Fossil the
intent, our Json files structured, but with a variable
length, and to be able to train a eye on any type of Json file,
I was a complexity that we were trying to resolve and we're a
success success success for resolving so.
So one Challenge in a cybersecurity is to be able to
come up with generic enough AI, that can be effective across
different types of current. And future threats.
There is the other huge challenge that we have in cyber
security. That is explained ability.
Yo, cyber Security Experts are like medical doctors.
They know the best. They don't need any AI to help
them classify moreover, right. So to establish the
understanding between the AI researchers and so basically the
expert is a non-trivial and ever, which is why there is a
need to build a lots of explain ability.
It could blow to explain AI to the Marlborough on the list so
that it's accepted. So and we were building a
exciting novel tools, for example, expandability and
cybersecurity, in order to accelerate the deployment of AI
in cyber SEC, are the primary challenges here, lying with the
ability to accumulate sufficient data for your models.
Or in building the broader, General algorithms that will
operate, effectively, on those models.
It's one of the genetic. Let's say so we have an access
to a fantastic data on the internet.
So we see a lot, but the generality.
So that the detectors are fine-tuned, to be able to detect
different types of Marlborough campaigns.
This has been a challenge. So as, as much as, In other
applications of AI. There has been a push to build
an algorithm that is capable of doing more things.
Such as in game, playing the designers design algorithm that
can play goal and shotgun at the same time.
This is the aspect of generality and game playing similar.
Aspects of generality is, is needed in building when we build
AI for a cybersecurity today, the cybersecurity is different
because it's not vulnerability of the operating Eames but is
the vulnerability of people condition.
So the attacks are different, and the attackers are writing
something else. They are not writing Json files,
there are not compiling assembler code with the
attackers are doing there. There are writing text and
natural language. That is supposed to be deceptive
and believable so that the users are willing to open an
attachment or a willing to share their a cyber say there are
financial data there are willing to click on the link.
So it's Totally different type of warfare and their artificial
intelligence is much more successful and much more
impactful but it comes to attacking.
Because in order to be able to craft and deploy successful
couldn't attack, you need three things.
Number one is, you need lots of data about the victim.
You need to kind of collect data about where Where the victim
goes on the internet. Would they like what they did
with the a show? Would they read?
And through this? It's possible that the
algorithms will create more personalized.
Communication, more personalized, could attack.
The second is that you need is to steal somebody's credentials.
Identity theft are increasing the effectiveness of a couldn't
attack. If you receive your the
condensate tank from a from an email of a friend.
It's More likely that you will click or open the attachment.
And the third one is high-performance AI, that is
capable of building. A text that is believable, the
text that is easy to believe in and adopt as a legitimate
message and act accordingly and current high performance.
AI is already by the large language models is the ideal
tool for an explosion of the coordinate attacks and this is
what I'm worried about. This is why I wake up every day
and go to work because I want to contribute to protection against
AI enabled coordinate attacks. I have been the subject of very
targeted phishing attacks. Not have ever been successful to
my knowledge but where people have bad actors have
impersonated people that I know and in texts and Annie Emails.
How can a, i and the tools you're developing protect me,
these things are so believable. And I, I'm so used to being
attacked that I research everyone and I know how to
manually research it. But how can a I help in this on
the contrary thinker? I think differently than others.
And in the past the whole subdue, the consumer.
Subsequently adopted this concept of Cyber security under
the hood me as a user. I do not need to understand.
I don't need to see. I just buy this product and I'm
covered. It's gone.
This is history. Now we live in different times.
Currently we need to build and gauging sophisticated tools
tools that will be there for people will be there with people
and will be helping people to be more resilient against
coordinate attacks. So, assuming that your I
installed this thing, And as a result of this, I will never be
attacked by fish. Or scam is just false
assumption. This will never happen.
So we as a as a Defender need to change the perspective and try
to build a companion tools, that will be there with people will
be gamifying cybersecurity for people will be rewarding people
with more transparency and what is going on when they read and
Receive a message. And when you ask me how a I can
help the large language models that are now used for creating
text. Can be also used successfully
for being able to detect text. That is scam.
That is fraud that this extortion, that is by many other
means malicious. So, the capability of detecting
and classifying text Stacks with malicious intent, and this is
currently enabled by large animal models.
And by AI, which reach, we investigate and study in jenin
here are looking for the patterns among very large
numbers of phishing attacks and obviously based on your work and
your research, those patterns are there if you can only find
them quickly enough, I assume. Yeah.
And the old, we are lucky because we don't, we don't need
to do this work or so this is what the AI does.
Us, you know, we only need to provide a good quality training
data and then let the Deep neural network to learn its
classification. People are always asking me
Miguel why I just can I use a GTP to do this for me?
And you just just ask the question and the chat window and
my response. Always is that cybersecurity is
much more serious deed. We Zenda, lots of
responsibilities to our users. So whenever we help you sir, we
need to be Crystal. Clear, what is it that we are
here? What is it?
That we are trying to user and if we are advised not to click,
we just need to be certain and current setup of the large
large, Which models that are generating generally designed
Angela trained just do not give you the certain it.
So our our added value, and AI pipeline of systems is twofold.
Heh. And we just want to make sure
that the chat board. The large language model that we
query is not giving some of the, your son don't senses answer and
second, what we do is we do problem, think.
So, we are prompting the language model with the data
with like small amount of special sample data that are
helping the rational model to do the classification.
That is direct contextual to a situation in which the user
receives the attack. So we have a question from our
Salon Con on Twitter and he wants to know if AI is being
used for cybersecurity. Does that mean that Boards of
directors don't need to worry about cybersecurity?
In other words is the AI just handling this problem and the
problem is going to go away. So it's very similar to my own
In the third of consumer service regretted, the fact that we are
in a world where ordinary consumers need to worry.
The same applies to the board members so you can get
insurance. But it doesn't mean that the
insurance will work always. So the difference between a
board is that the bird do have a responsibility for business.
So their budgets for an investing in cybersecurity She
is a sort of a different order of magnitude while ordinary
consumers who payday payday their daily bills.
They're they're spotted their Spotify, their Netflix and
whatever they need on the internet.
For them. Can I think an extra for cyber
security as a material part of the bill?
So I would say the difference is with the the investment but
nobody neither ordinary users. Not import members are currently
relief from a Let's intubate the tension and to make the right
decisions. These are tough problems.
And I think for board members, it's in some cases, even more
difficult because they don't have the technology background.
That's necessary to really understand this.
And so they have to therefore rely upon a group of Technology
experts without without the transparency and explain ability
that you described earlier. Yes, yes.
I would say that. Currently, we have the fastest
error, a change in the types of attacks from the Bad actors.
So I think that there is a huge expectation for the Cyber
Security Experts to really be up to the speed to really try to
understand what are the new dangerous threats and also what
are the new technologies that people use for attacking as much
as for protecting? So there is a huge amount on the
experts to really be there for people who need their advice.
Many technology experts are Not sufficiently comfortable
communicating with the boards, which presents a problem because
the security officer, for example wants to explain but
doesn't not know how to present it in terms that are
straightforward enough for the board to understand.
And, and that's a gap that causes problems.
In some cases, I agree with you Michael and there's the other
problem, which is that there's the current economical
environment, the budgets are stretched, Act with with
everybody. So and I guess in the past kind
of big corporations were, if they didn't understand they,
they were going to okay to pay an extra for like an extra tool
that this under security guy, requested these days I think is
going to be different, you know, they'll be budget fights for
everything including cyber security.
So this presents a accorded growth for cyber security
personnel and Caesars. The big companies to be able to
explain better to the board. What is it that they are buying
and why they need to invest? So the time is changing for
everybody, it is always extraordinary to me the number
of companies even security company.
As I mean, look at last pass that have breaches and after the
breach they always say we're going to invest more.
We're going to well, why didn't they do this before?
The fact that the old are those centers on the internet that are
worth breaching that store users private data and the Bad actors
are interested in attacking. I think it's wrong design of the
internet. We should have less and less of
such places and more and more private data should reside with
the users on their hands. Be much more difficult to kind
of make a large curved breach, through which you steal hundreds
of thousands of of By d's and passport numbers.
So I really believe that internet needs to undergo a
change, but there is much more opportunity for users to take
responsibility for their own private data and not those who
just kind of need to validate and verify to check in the
Privacy pre-selling manner. What is it that I keep in my
wallet and my bullet needs to be secure and modern and good
quality. And powered by good compute so
that whoever can and needs to check me check my wallet and
doesn't need to contain the record of my personal data and
the data base, which creates a danger for the vendor, who keeps
keeps my data. Since you brought this topic up,
can you just briefly give us advice the the the listeners for
cxo? Talk are very smart, very bright
and can you give us advice on? As individuals what we can do to
protect our data. Just along the lines of what you
were saying, just briefly very briefly.
We going to need to have a good cyber security hygiene to kind
of work with a password manager. Do know that do not kind of
store or send passwords by a text message.
Use do good tools for cybersecurity understand where
you weren't, where you are sharing private data for what
purpose, whether this is really necessary.
Ask Then there's to delete data, because in many countries, there
is registration of the vendor, is asked to delete the data.
They are obliged to. So be cognizant of tracking.
So we attract without tracking. There is no a personalized
experience on the internet. So we gonna need tracking but
gonna be focused on when. And why delete your cookies?
Do not agree with every single cookie pop up that Is bothering
you. So these are the basic advice
but the truth is and you will actually the storage of private
data is is very much connected with algorithmic manipulation.
The more data the vendors know about myself, the better
personalized digital experience, our receive but the better
digital experience means that the the vendors are restricting
my choices. When I search for an interesting
article if the internet Knows all about me, it tries to
second-guess. What is it that I want and
serves the content that they assume and I need.
So there's there's a piece of manipulation and I truly believe
that people need better. People need better tools and
Technologies for keeping their privacy in check.
But also for understanding how the recommender algorithms
That's on the internet. How they work?
How they work for me? How they work for me in that
situation. In the other situation?
I need to understand when YouTube offers me those tiles.
Why are there? What is it that I did that?
I see this offer what is it that I watch with this added a didn't
watch? What is it that I posted about
why the recommender is acting in a way he's acting.
Well, you know, there's no transparency.
We don't know, we are Expect accepting the recommend
recommendations from the internet as they are.
And this is because this great technology.
It's on the other side, the great technology is at the site
of the vendors of the intent companies.
The amount of technology that is with users in their wallets and
their browsers and their phones is actually quite limited.
So and as 30 years ago there were kind of first Bad actors
and Attackers. And as a result, got going to
big, massive cyber security industry, the game became
reality, and this industry started to protect users, and as
a result of this users are kind of safe.
I believe that something similar must happen, in the field of
privacy and algorithm on Appalachian that there is a more
tank covering people's back when it comes to algorithm
manipulation misinformation. Ian and privacy handling, we
have a couple of questions now that are popping up on Twitter.
So why don't we jump there? And first is from Chris
Peterson, who says Ai and ml tool sound great for cyber
defense is they're analogous research in penetration testing
and Red Team Tools or better traps and honey pots for luring
in threat. Hearse in my bread Labs, we have
done research and we were able to demonstrate that the use of
large language models. For generating malware is
possible that you can generate more over by a lot but by GDP.
The truth is that is it really necessary?
If I look back into how kind of moderate campaigns are Created
writing a piece of mother is only a small component.
And there are kind of script algorithms for automated model
Breitling available in the mower Community for the last 15 years.
So is the contribution of a GDP generated Marlborough.
So changing for a Bad actors. Honestly, I don't think so.
I think that the added value is only limited, however, You talk
about the attacks that are in the form of a coordinate, the
tank, the form of scan and fishing and manipulation then
the story is totally different. There are the role and added
value of a large language models and modern, AI or Bad actors.
It's just, it's just massive the rate through which they can
create a believable unique content is just Amazing.
And not only the quality of the content but also the capability
to test to A/B test the effectiveness of the cognitive
attack, right? You're currently their attackers
who are kind of writing fiction? Email they collect some data
from the internet to learn how affected they have been.
They take some learnings they end up the strategy.
They try something else through a method.
Two reinforcement learning together with large language
model based tax generation. This cycle can get automated.
So this is my worry, you're in the Bad actors.
Start to really automate to generate a unique dangerous
content at the same time to be able to learn automatically how
effective data has been and adapt the the text generation to
me. This is very dangerous and this
is this is an area where we as Defenders need to pay big
attention. It's so interesting that you
just Tribe this A/B Testing because among the attacks that
have been against me because of who we interview, it's EXO too
awkward. You know, we're a Target and so
I get these requests very, very strange.
I got these requests from what appear to be women on the
internet, you know, accomplished women and what I've noticed and
I'm married. I have no interest.
Okay. But I've noticed that the
attackers because they're obviously fake because I
research everything. So I noticed that the attackers
have been changing specific variables.
So they'll change, for example, a little bit about the
background, all the variables will be the same, the
characteristics of the proposed connection, they'll change
ethnicity, they'll change the tone a little bit but keep
Everything else, the same. And so I've suspected very
strongly that that this is a be testing going on.
Yes, yes. And this would be testing can be
automated if there's a Tracker in your email or tracker in your
browser, that is hoping the attacker to can.
I report to understand how effective it has been, is going
to be automated. We have another question now
from Twitter and this is again from our Salon Khan who says,
can a I make recommendations about not collecting certain
kinds of data since it's prone to be attacked.
I think he's referring to recommendations to individuals
about what kind of tracking to allow.
For example or not based on recommendations from an AI.
This is a big challenge or one of my teams we are trying to
understand to which extent a I can help.
People to make the right privacy decision.
So we build good quality AI. That helps the user to assess
and explain, what is the Privacy impact of using this or the
other app or being on this or the other webpage.
So kind of rebuild classifiers and detectors that help users to
give them some basic information about that.
The truth is, Currently users are not ready for and I used in
this information so that they would be impacting their privacy
Behavior. So you're we see that users by
big big parts are taking a binary decision.
Okay. So I don't care or I just got
think Anita or I don't care, I use Google search or I care and
I use DuckDuckGo. Right.
There's actually couldn't nothing in between and I To the
technologists and the technology firms need to build tools that
would allow users to kind of set up their privacy approach in in
very fine-tuned way in the context that the time ago.
Based on what they do, where is with a search for base when they
are physically and let the user to kind of fine, tune the
preferences, and then the able to be with the user and adapt
the privacy. Preferences based on the past
Behavior models. So I actually think this is a
like a missing piece that the users needs to get the idea.
That's an optimization problem. To get the best of the
personalized, dental experience on one hand and protect your
privacy. On the other hand because these
are gonna joint. John, bardos macaw.
Can you describe to us some of the most significant challenges?
Especially the technology challenges that you face in your
work and your research right now.
One of the really fascinating research challenge is explain
ability in the field of cyber security.
So Kara for the last 10 years, many areas and have been working
in the fourth explainable at trying to deliver some good code
explanations on AI verdict in cybersecurity.
This is, this is Is this fascinating?
Because if you're gonna dig deep into the mind of threat,
researcher threat analysts, there is a combination of deep
knowledge, great intellect, fantastic reasoning, and
intuition. And the intuition is the piece
which is very difficult to optimize.
So whenever there are AI scientists actually experts,
they just want to do statistic, they want to optimize your, give
me optimization functional training across the fire.
This is, this is, this is how I people work and to be able to
marry this statistical approach to world with the intuition that
is, inside of the security. That's fast rate.
And actually, I think it's transferable it's transferable
to to other domains. I would say that a medical
doctors are very similar. I think that at a time when a I
will be taking over in the healthcare, they would need to
be able to resolve similar challenges, the challenges of
explaining AI in such a way that we are getting a professionals
that are not being replaced by AI, but their impact is being
Then X multiplied by a proper use of high-performance Ai and
I'm lucky to be in this field that I have a first-hand
technical experience. So this this definitely is is is
is one of the challenges and then secondly, oh I'm I'm really
excited to be in this time of explosion of the large language
models and to see the first time in my lifetime when AI is Being
a true consumer proposition. Until now a, I actually was a
preposition was a B2B Enterprises firms.
Corporations were using good quality AI to deliver products
to users, but this is the first time where users are exposed to
Ai. And I would say that one of the
big challenges for me and for my team's is to understand how this
new AI Is threatening people. What are the dangers and limite
an ethical limitations of this new age.
AI that can hack the can have impact on our users and going to
be there and to think about those dangers and to try to
build a technology that is protecting users against not
current, but future AI dangerous.
It's very rewarding. We have a question from
LinkedIn. This is from From Nash in blue
and she is a, she runs an organization.
That works with Chief Information officers.
And she says this, she says there are quite a few, a I
powered cyber security tools out there.
What's your take on the level of maturity of these tools?
What's the confidence level of organizations as far as adoption
goes? Especially since the popularity
of chat GPT? Should be explained ability.
There are tools that people believe because they've been
well explained and the users have trust in the tools and then
there are going to New Kids on the Block that have hard times
to prove their value. So um, Optimist, there are lots
of great AI tools. That's understood.
Experts are using, is non-trivial to be able to detect
what is working for your use case and was not what advice do
you have? For Enterprise Chief information
security officers. I know it's a hard, it's a
really hard question to ask. Just brought it Vice, but you
have such an overview not to play catch-up, but think for the
future, I know that cisos often are busy with solving the crisis
and with extinguishing Fires at this is pretty much a work.
Not try to find at least 50% of your tongue.
Where you think about the future about What may come up as soon
as the technology becomes better developed, and can more more
powerful, do not us as a cyber Security.
Experts stuck in the, in the current situation, but let us
find time to focus on the future because this is the only path to
resilience and any advice for Chief Information, officers
Chief Information officers need to partner well with see Usos
and cdos and to gonna be in a good company and try to take the
advantage of what the Cyber Security Experts can do for them
and what's the technologist can help them and driving their
future decisions until I don't invite and view the same with
investment in security, but will be under scrutiny.
The same time, we will see investment in it and clothespin
to undergo, big scrutiny in 2023 and R2 a year working on certain
problems challenges in cybersecurity and AI.
Where do you see the results ending up of your work over the
next couple of years? The way how I see evolution of
scan and fish the coordinate attacks on the Internet.
It's from like short. Thanks to long-term persistent
coordinate attacks from manipulation to misinformation.
And I actually think that in the future as current, the
cybersecurity is changing from attacking people devices to
people. Cognition, I think in the
future, the subjects are basically will be changing from
a immediate kind of attacks, which is this one click towards
manipulation. How am I changing changing
People mind that? There would be less.
Resilient and more susceptible to to an attack.
How do I move people between a coach a, so that they would be
more vulnerable? They will have more
vulnerabilities for me as a bad bad actor.
So I think that this combination of a scam and phishing attacks
and misinformation and manipulation will be a big Topic
in AI cybersecurity in the years to come.
So your Saying that the shift takes place from AI in
technology attacks. Meaning attacking firewall, for
example, to cognitive attack, such as fishing to broader
overtime attacks that manifests as misinformation disinformation
and broader psychological manipulation.
Yes, yes, exactly. And this is where I see the job
of a, I substitute cybersecurity expert needs to be even more
exciting and would require a wider scope of knowledge
comparing to subsidy Experts of the past.
It's fascinating, because essentially what you're saying
is that the field of misinformation and
disinformation, which right now we look at as a social media
problem. In fact, it's a cybersecurity
problem. It is, it is a security problem.
Live on to today because the most effective weapon in this
future cyber security, world is making people more resilient the
helping people to be fit. Mentally third, to be
inquisitive to be excited about checking sources and to be a
resilient against future attacks, which is why those who
can expect the technology firms to build a manipulation firewall
that I put in. My browser and doesn't show any
fake news at the wrong approach for one.
It it cannot be done and for a second, it reduces my mental
Fitness are going to need to be there still.
I just want to be on the, I want to be independent autonomous and
keep my life under control and to this, also belongs to my
capability to distinguish, which news I believe and which use?
I don't believe, I just don't want this right to be taken away
from it. Seems like this is a A
particularly difficult challenge because now what you're asking
to take, place is silos of researchers to converge.
Because right now, you have cyber security researchers.
And then you have folks who are looking at news.
Essentially media researchers, these are different groups of
people is they are, but they'll be soon.
Sharing the same objective. We make the internet a safer
place for everybody. Well, Well, on that, I'm afraid,
we are out of time so I shall. I just want to say a huge.
Thank you for taking the time to be with us today.
Thank you for having me Michael. Thank you so much to McCall.
Piccu check the CTO of Jan. Now before you go, please
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