Video summary
AJ Shipley, Chief Product Officer at CrowdStrike, joined the Cube to discuss his journey to the company and the strategic evolution of its security platform. Although he is new to CrowdStrike, Shipley describes the organization as a premier cybersecurity leader whose mission to stop breaches deeply resonated with him. He views running product at such a top-tier company as an unparalleled opportunity, likening his decision to join to "stealing the fastest car" and driving as fast as possible. His enthusiasm is matched by his praise for the talented team, which he believes is a key driver of CrowdStrike's enduring success in the industry.
A significant portion of the conversation focused on recent product announcements designed to address the challenges posed by artificial intelligence agents. Shipley explained how the acquisition of Pangia led to the creation of Guardian, a solution that provides visibility into AI agents operating on endpoints, effectively treating them as "shadow AI." Furthermore, he detailed the integration of Signal's technology into Agentic Identity and Access Management (IDP), which eliminates standing privileges in favor of just-in-time provisioning. This approach assigns unique identifiers to agents and grants them only the specific access needed for a task at runtime, revoking permissions immediately afterward. This method drastically limits the blast radius by ensuring that even if an agent is compromised or acts unpredictably, its ability to cause damage is restricted to the bare minimum required for its function.
The discussion also touched upon the critical importance of ecosystem collaboration and CrowdStrike's unique architectural advantages. Shipley emphasized that cybersecurity is a "team sport" where no single organization can secure itself alone, making partnerships with competitors and smaller companies essential to covering all facets of the attack surface. He highlighted the Falcon Sensor as the core differentiator—a lightweight, single sensor deployed across endpoints, containers, and network devices that collects telemetry for real-time analytics. This architecture is supported by a massive flywheel effect, where data from CrowdStrike's extensive managed detection and response operations and counter-adversary teams continuously informs and improves the platform's models and defenses, creating a level of insight that is difficult for others to replicate.
Ultimately, Shipley framed CrowdStrike's strategy around a shared responsibility model between vendors and customers. He argued that while vendors provide tools and context, customers possess unique knowledge about asset criticality within their specific environments, making collaboration vital for effective risk management. The overarching mission driving these efforts is the protection of society itself; Shipley poignantly noted that CrowdStrike's customers often hold mortgages or prescriptions for his own family members, meaning a breach anywhere in the ecosystem could directly impact loved ones. This personal stake reinforces the company's commitment to delivering comprehensive security through a unified platform and a community-focused approach that prioritizes the safety of everyone involved.
Read the full video transcript
Good afternoon everyone and welcome back
to the cub's live coverage of Falcon
2026 here at the Mandalay Bay in Las
Vegas. I'm your host Rebecca Knight
alongside Dave Volante, the co-CEO of
the Cube.
>> Hey folks.
>> Hello. And I would like to welcome to
the show for the first time ever. Okay.
First time. Yes. AJ Shipley, chief
product officer at Crowdstrike. Thanks
so much for coming on.
>> Thank you so much. So, you're a first-
timer here at Falcon, but you are a
cyber veteran and you've worked at some
of the the biggest names in technology.
Wh what drew you to CrowdStrike? What
did you come here to build specifically?
>> Well, I think, you know, for as long as
I've been in the industry, um, and for
as long as CrowdStrike's been around, we
all kind of looked at CrowdStrike, you
know, maybe a little envious because
they were the premier cyber security
company and have been the premier cyber
security company for so long. uh and I
was always drawn to the mission and and
and you know of cyber in general. Their
mission of you know stopping breaches um
always kind of you know spoke to
something inside of me and you know in
parallel I've always felt like you know
running product uh is the best job in
the world at a product company. Um it's
it's so much fun. And so when you have
the opportunity, candidly, to have the
top product job um at the premier cyber
security company in the world, that's
one of those things that you know, you
don't run towards. You kind of drop
everything you can, steal the fastest
car, and drive as fast as you can. So
yeah, it uh and it's been an amazing
ride so far. But uh yeah, that's what it
is. And it's a great great group of
folks. So it's easy to see why they've
been so successful.
>> So you kind of led I'm going through the
announcements this week. Yeah,
>> I was on the the embargo the pregame
that you largely well you were a big
actor there so it was key. Well, let's
start with Guardian.
>> Um there's a little bit of Pangia in
there I know and there's also some
Crowdstrike DNA you know some some
organic stuff.
>> Um tell us what problems does it solve?
How does it work?
>> You know where's it fit in the whole
portfolio? Yeah. So when we when we
bought Pangia and really the the genesis
of Guardian being Pangia, you know, the
the primary attack surface was or at
least what we were trying to monitor was
a human sitting at a keyboard putting a
prompt into a browser in order to go to
a a chat agent and get a response back.
>> But agents don't type.
>> But agents don't type, right? And you
know back in the spring a lot of us were
using um you know chat GPT and you know
open clause came along and then we
started to see this proliferation of of
agents down on the endpoint. And so
first and foremost we needed to get that
visibility into all of the agents that
were you know kind of operating in an
environment. I sort of equated to the
early years of the cloud access um
security broker uh market, the CASBY
market where you know first and foremost
you just needed visibility of all of the
shadow SAS and I think what a lot of
organizations need today is just
visibility of all of the shadow IT and
the only way that you get that is to be
where the where the I'm sorry visibility
of all the shadow AI the only way that
you get that is to be where the AI is
running which is on the endpoint and so
what we did there was we took a lot of
the the organic you know kind of
capabilities from pangia pushed it down
on the endpoint to get the visibility
and then provide that visibility to a
policy maker so that they could decide
what was sanctioned, what was not
sanctioned and then start to assign some
control around these these uh agents.
>> Okay. And then Aentic IDP you guys
announced that today I think Y right?
>> Um I think you said uh there on the
pre-all there's like 100x more agents
than than humans.
>> I'm hearing 90. Let's let's round up to
100 because it's going it's going to
200. Um and you basically talked about
how the legacy ID security model is is a
breach waiting to happen is what you
said. This comes out of the Signal Yeah.
acquisition. Okay. So how do you uh
apply identity to to agents? Let's start
there.
>> Yeah. So it starts with signal really
what Signal did so well and why we
acquired them is it eliminated this idea
of standing privileges, right? So when
you come into an organization you're
given an identity, you're given um
certain you know privileges to access
things. Over time those privileges
expand. Um very rarely do they ever get
pruned but the point being is that that
identity is kind of established you know
on day one and not necessarily kept up
to date. We've always tried to you know
talk about just in time provisioning
from a zero trust perspective but it was
hard under the best of circumstances
with kind of traditional identity access
management solutions am solutions or
IDPS. Now agents that are getting spun
up and spun down in real time at runtime
just compound that problem
exponentially. And so Signal's approach
to zero standing privileges and just in
time provisioning of the accesses that
somebody or an agent needs to do their
job was the core capability that we
extended. The way that it works is it
assigns a unique identifier to an agent.
You might have 90 or 100 of those agents
that you know got spun up that day or
that morning. But with that unique
identifier, we can then create
privileges through tokens and pass those
tokens around and only give the agents
the accesses to the systems that they
need in order to do their job it at
runtime and then revoke those privileges
as soon as that task is accomplished.
And that is hard if not impossible to do
with a legacy IM or IDP solution.
>> Okay, I think I get it. Uh because the
question I wanted to ask that we ran out
of time in the pre-call the the the
press and analyst embargo call was
>> can you walk us through how agentic IDP
limits blast radius exposure because
that's something that you mentioned was
a benefit and just kind of double click
on that a little bit if you
>> yeah well first and foremost it's this
idea of zero standing privileges which
you know you can you can also think of
from a zero trust perspective which
means you know we are only going to give
an agent the privileges and the accesses
to the specific system that it needs in
order to do its job. So let me give you
an example. Maybe Becca in finance goes
to Claude and says, "Hey, I want you to
pull me a report or build me a report."
And for one reason or another in that
prompt, the agent thinks that it needs
to go off and hit a code repository that
the developers are using in order to
check code in. Becca and finance
obviously should never be accessing a
code repository, but the agent doesn't
know that. The agent's just going to try
to accomplish its task. And these agents
reason in a way where it might think
that that is a completely reasonable
thing to do. So with our agentic IDP, we
can first assign an identity to it and
then we can give the privileges to the
agent first and foremost that don't
exceed what Becca's privileges should
be. Like an agent that Becca spins up
should probably never have more
privileges than her. It should probably
have a lot fewer privileges than her.
And with zero standing privileges, we
can give just the very granular access
to that agent to do that job based on
Becca's context, who she is, what she
traditionally accesses in an
environment, what she should have access
to, and not give those agents any more
accesses than that. And when you can't
always tell what an agent is doing,
which is one of the problems that
Guardian solves by being able to inspect
all the the prompts, they're doing so
much stuff all the time that when it's
very difficult to tell what it's doing,
you want to be able to give it the
minimum amount or least privilege
possible. And that there limits the
blast radius because if that agent does
something it shouldn't be doing or gets
compromised for some reason, it only has
accesses to the bare minimum sets of
things that it should. Okay, so that's
super helpful.
Follow-up question if I may. Uh reading
through the anatomy of the hugging face
hack. Can can Becca's agent, you know,
collaborate with some other agent that
might have that that that access? How do
you you know what part of the the Falcon
platform sort of detects that and how do
you remediate that?
>> Yeah. Well, so the Falcon platform first
and foremost gives visibility into all
of these agents that are spinning up,
right? And so, you know, if you take
hugging face and you know the,000 or,200
or,400 agents, right, that we're
spinning up that we're kind of swarming
to the problem. Guardian first and
foremost is going to give us all of that
visibility to all of those agents
spinning up in real time.
Then through our agentic IDP, we can
assign a unique identifier to all of
those agents that are spinning up. And
then with the just in time provisioning
and zero standing privileges, now all
1,400 of those agents we know about,
they have unique identifiers. And we can
create unique policies for each one of
those agents so that they are not able
to collaborate and work together to
access systems together in collaboration
if they shouldn't be having those
privileges to begin with.
>> Okay. So, so I'm presuming you're not
saying there's a zero probability that
that could happen. So, unless maybe you
are if you are you know better than
going to say that. So, okay. So, there
is some probability, right? And there's
some unknown unknowns.
>> So, is there a kill switch in the system
that I can hit or that my agent can hit
in case something goes ary?
>> Uh, there's not a kill switch in the
system right now, at least in the ways
that I would think about a kill switch.
Um certainly something to think about.
I'll take it back as a as a good product
person as an idea and say like is there
a there there?
>> Okay. Um I mean I don't know how that
would work.
>> Right. That's that's where my head was
like how would that work exactly?
>> And who's who's who has their finger on
that?
>> Yeah. And does it require two keys get
get inserted
>> into how fast can those two keys occur
because a lot of damage whoops can you
know propagate very very quickly. Yeah.
>> Interesting. But I think look if we if
we limit the access if we if we remove
all standing privileges right and we
just assign access at the last minute to
only the systems that they need again I
think I think the potential is there
again leveraging AI to help inform those
decisions as well the potential is there
to to to
reduce down the attack surface or
restrict the the accesses such that the
type of damage that we saw in a hugging
face attack or or an anthropic you know
attack is far less than before those
sorts of capabilities were in place
pregardian.
>> I mean, I got to be straight with you.
I'm such a Rebecca knows this. I'm such
a crowdstrike bull, but I'm also an
independent analyst, right? And you
know, we're independent media. So, I'm
like, "All right, I got to find
something
>> to pick at." and and so but but I think
it's a legitimate concern that maybe a
lot of people aren't thinking about
which is as I get more telemetry as I
get more data
I'm I'm giving more autonomy to Falcon
that means that the trust bar rises
dramatically
>> absolutely
>> and and so who's accountable and I and
my answer is you the customer are
ultimately accountable for your own
sovereignty not not like territorial
sovereignty but there's a shared
responsibility model which is kind of
fuzzy right now and I think we're
working through that and that's why I'm
sort of
>> raising these questions hopefully for
the benefit of our you know customer
audience that needs to think about
there's there's always something new
>> yeah and new risks that are emerging and
I don't know how much
>> conver look it is shared responsibility
we have a responsibility as a vendor but
the customer also has a responsibility
um in order to help provide context that
the vendor we as the vendor can use in
order to make better decisions I'll give
you an example um only uh a customer
would know what the criticality of an
asset in their environment is. Right.
>> Right. But we should be able to take
that criticality and use it to inform
the decision-m processes or or inform
the agent so that they are better to
make a recommendation on potential
remediation activities. Um and that only
comes through that shared responsibility
model.
>> That's right. We had a a guest on
yesterday who was actually that was
their business. They're a partner of
yours. I apologize. I can't remember
exactly who it was, but they would help,
you know, prioritize risk, assess risk,
so you could fence that off or or
approach that with, you know,
differently with, yeah, greater
controls. Yeah.
>> One thing that's been so clear at this
Falcon conference is is the ecosystem
and how important it is and how much
you're doing with people who are your
organizations who are your competitors
in other contexts.
>> And and it's also clear that cyber is a
team sport. No one no one organization
can do it alone.
How as the chief product officer do you
decide what you're going to build
internally versus how you're going to
look to fill in the gaps with other
partners and other maybe smaller
companies?
>> Yeah. Well, I think great question. um
first and and one of the things I love
about CrowdStrike is is again just this
this deep sense of purpose to you know
kind of enabling the defenders with the
tools that they need in order to be able
to ensure that our society is more
secure from a digital perspective.
Anyways, I'll just kind of as a segue,
um, something that I've always shared
is, you know, it's kind of our
responsibility and our privilege
candidly to protect the loved ones that
we all care about because candidly we
are all customers of our customers. And
my mom's, you know, kind of mortgage is
held by a large customer of CrowdStrike.
My brother's, you know, and their
family's prescriptions, you know, are at
a large customer of Crowd Strikes. And
if those customers get compromised, then
potentially my mom or my brother's, you
know, mortgages or prescriptions get
compromised. Um, and that's sort of like
the overarching mission. And so we use
that as kind of a limus test of how are
we best able to deliver security to
protect the community or the crowd,
right? Where we are all customers of our
customers, but at the end of the day,
we're all, you know, operating in a
society and we want to make sure that we
are as safe and secure as possible. Now,
there's going to be things in there that
CrowdStrike is probably uniquely suited
to do. And then there's going to be
portions of the attack surface candidly
that CrowdStrike needs to partner with
folks to be able to cover because it's
not native in our portfolio. But at the
end of the day, what is true and what
has been true throughout my entire
career is that the adversary doesn't
care whether it's one vendor or multiple
vendors. The adversary is going to, you
know, find the the the weak link in the
armor or the weak link in the chain
there and do everything that they can to
exploit that. And if we are not, you
know, coming at it from a community
perspective and the power of the crowd,
whether they are competitors or or not,
if we're not coming at it from that
community perspective to cover all
facets of the attack surface, to cover
all of the assets in an environment that
an adversary is after, then ultimately
it's going to be my mom or my brother or
your family members, you know, who are
compromised. And that is probably the
overarching litmus test of why we do
what we do.
>> The real mission.
>> I got to ask you this question. It's
kind of the there's there's two main
companies that are pursuing this
consolidation strategy. You used to work
for one, now you work for another.
Different philosophies, but going after
the same thing. You got endpoint,
identity, cloud, nextgen SIM, AI,
security. These are coming together. I'm
interested in in your response to the
common architectural layer that makes
>> Falcon, you know, one platform. It's not
like Paulo a collection of these sort of
acquired adjacent products. But to
credit to them, I mean they they're an
engineering company. They do do good
work, but different philosophies. You've
never had to rewrite the platform,
right? So, but I I want to understand
what is that common architectural layer
and from your bias standpoint, why is
the crowd strike approach more
attractive for customers?
>> Uh well, the common architectural layer
is the falcon sensor, right? And the
falcon sensor from day one has been a
single sensor. It sits on some of the
most valuable real estate in the world.
Uh we talk about the endpoint but the
endpoint the endpoint can be a container
running up in the cloud. It can be a
traditional endpoint. It can be an
embedded network device.
>> Could be identity.
>> Yeah, kind of. No,
>> I don't think about that. Um I I think
we certainly think about identity as an
asset. At least I think about it as an
asset. I don't I don't know if I think
about it as a device. Fair enough. But
where I was going with that is um you
know I think our architectural approach
and our differentiation is that is that
single sensor that that lightweight
sensor that collects telemetry
um and allows us to be able to apply our
analytics on it in order to detect
maliciousness and then respond to it and
then take those learnings and feed it
back in so that hopefully you never get
compromised a second time the same way
that you did the first time. Um, I I
can't I can't overstate how important
that that that concept of a single
sensor lightweight agent is because
because anything that you can do to
reduce complexity, you're going to
improve your security. Um, and then what
I would say is probably unique or
differentiated about CrowdStrike, sure
there there's a sensor and there there's
the the the platform and all of the
techn technological innovations, but it
really comes down to the people. And
what I mean by that is especially in an
age of AI, you know, just said we are a
net data producer, right? Or net data
creator, but also at the end of the day
that data comes from the industry's
arguably largest managed detection and
response organization in Falcon Complete
that every single day is securing tens
of thousands of organizations detecting
and responding to adversaries. It comes
from the industry's premier, you know,
uh, counter adversary operations team,
cyber intelligence team that, you know,
probably knows about the adversary
better than anybody else out there and
is constantly evaluating what the
adversary is doing, their tactics,
techniques, and procedures. And then,
you know, the industry's leading
incident response organization that gets
called in anytime that there's a breach,
right? And those people and that data
and that learning is what informs the
models that we're building as well as
the detections that we've created in the
platform and ultimately the defenses
that we've created and that data is
candidly I think the differentiation
that goes into and leverages that single
sensor that that that that platform
advantage that we have in order to make
sure that we're delivering the best.
>> So it starts with that single and it's a
lightweight sensor is my understanding
>> and you got a big install base now. So
that you know that's the flywheel feeds
the telemetry. Why is that sensor so
hard to copy paste in a in such a
copycat industry?
>> Well I mean I would leave that question
probably to the the engineers who built
it the original you know Alex Yescu and
and and all and Hyasin and and all of
those folks who architected and built
it. They could probably answer that
question far better than I can. What I
know is that, you know, as a product
person, I'm going to I'm going to
leverage every advantage I have and keep
it and that is an absolute advantage and
so I'm going to I'm going to use it to
my fullest advantage.
>> Great answer, AJ. A pleasure having you
on the cube. Thank you so much.
>> Thank you so much. I enjoyed it.
>> Thanks.
>> I'm Rebecca Knight for Dave Volante.
Stay tuned for more of the cub's live
coverage of Falcon 2026. You're watching
the Cube, the leader in enterprise tech
news and analysis.