Video summary
The current landscape of defense technology is characterized by a "perfect storm" where rapid advancements in artificial intelligence, geopolitical tensions, and shifting global dynamics have converged to create an unprecedented boom. Dave DeWalt describes this era as comparable to the golden age of innovation seen around 1999, but accelerated by AI which has fundamentally altered the battlefield from a purely physical domain into one dominated by cyber warfare and autonomous systems. The primary shift since last year is the blurring line between offense and defense; while traditional security focused on protecting perimeters, modern threats now utilize AI to generate vulnerabilities and launch attacks at machine speed, effectively turning defensive tools into offensive weapons if not carefully regulated. This dynamic has created a deregulated environment where bad actors can leverage open-source models to create zero-day exploits in minutes rather than years, necessitating a new approach that treats cyber security as an integral part of every domain including space, maritime, air, and ground operations.
To counter these evolving threats, the industry is moving toward multi-domain integration where intelligence from one sector feeds into another, creating a comprehensive situational awareness that goes beyond simple visual satellite imagery to include radio frequency analysis and electronic emissions monitoring. A critical challenge emerging in this autonomous age is the risk of "friendly fire" incidents caused by machine-to-machine interactions without human oversight; as drones and AI agents operate independently across different environments, there must be robust software intelligence to manage congestion and prevent collisions or misidentification between allied systems. Furthermore, the attack surface has expanded significantly beyond digital networks to include physical vehicles like tanks and trucks via radio frequencies and Bluetooth, requiring a holistic defense strategy that protects hardware from both cyber intrusions and electronic warfare vectors such as GPS jammers and hypersonic threats.
The ecosystem of defense innovation is also undergoing a structural transformation driven by government initiatives aimed at breaking the monopoly held by traditional prime contractors to foster greater private sector participation. This shift allows for faster procurement cycles and encourages startups like SpaceX or specialized AI firms to level up capabilities that were previously exclusive to large governments, effectively democratizing military technology development while maintaining strict safety guardrails against weapons of mass destruction in new forms, such as engineered pathogens via DNA/RNA models. Successful companies now operate by building deep compatibility matrices across the entire tech stack and surrounding themselves with diverse partners ranging from generals and CISOs to global system integrators, ensuring that solutions are not only technologically advanced but also viable for real-world deployment under constrained conditions like limited bandwidth or power availability in conflict zones.
Ultimately, the mission of modern defense technology is defined by securing the world against emerging risks across all domains, including the upcoming quantum computing era which threatens current encryption standards and requires post-quantum cryptography solutions. The narrative has shifted from isolated business deals to a model of co-designing ecosystems where commercial entrepreneurs work closely with government entities and warfighters to identify threats before they materialize into catastrophic breaches. As autonomy becomes ubiquitous in moving trucks, tanks, and ships, the focus remains on ensuring that these systems are secure against hacking while providing massive compute power at the point of need through modular data centers or small reactors. This collaborative approach ensures that humanity can harness the immense potential of AI for protection without allowing it to be weaponized by adversaries who operate in a flattened global landscape where sovereignty and security must be maintained across borders and digital frontiers alike.
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Palo Alto studio connection Silicon
Valley and Wall Street. I'm John F co
here with Dave Volante my co-host.
Hi, I'm John Furry, your host of the
cube. We are here at the cub's NYC
studio. Of course, we have our Peloto
studio connecting Silicon Valley to Wall
Street. This is our new defense tech
series. We talk to the leaders who are
exploring all the new business models,
technology, innovation. Of course, the
tide has shifted with AI as the
battlefield and decisions are being made
on the warfare front. Everything's
changed. Dave Dewalt is here. He's the
CEO and founder of Night Dragon,
investor, uh, former entrepreneur, CEO,
now driving and innovating. Dave, great
to see you. And you're a leader in the
field and doing a lot of great work. The
market is on fire right now. Literally
on fire with investment um, crossover
private technology into the government
realm for defense. We all know what's
going on in the physical hardware world.
We see AI factories. So everything's
driving to the conversation where cyber
security
and AI infrastructure are all one thing.
The music's the same, but the
applications on the defense tech are
booming. Explain the macro right now.
What's the biggest change since we spoke
last year?
>> Well, thanks for having me, John. It's
great pleasure to be with you, my
friend. And uh good topic right now.
It's very it's very gerine to what's
happening around the world for for a lot
of reasons. I call it almost like a
perfect storm. And this perfect storm is
a series of like conditions and
confluences coming together and we can
all read about them. When you really
break them down, we've watched this
incredible technology inertia, you know,
malade with frontier models and AI's
development, agentic autonomous systems,
AI on the edge, really opening up new
opportunities in the defense tech, but
also new opportunities for the offense
as well. And then when you combine
geopolitical tensions with all the
things we've seen, we start to create
crisises that are happening with Iran
and also with Israel, of course, in the
United States, but Russia, Ukraine, and
other parts of the South China Sea.
>> And it's a very challenging market. And
then you create almost a deregulated
environment now where you can bring
technology very quickly to market
without a lot of guardrails which is
great for capitalism but at times can
also be bad for the bad guys or good for
the bad guys. And we create this
environment where we've got a boom in
defense tech. And this is probably the
golden age I've ever seen with what's
going on in this market. 35 years doing
this.
>> Yeah. I don't know, maybe 1999.com
and this is about the same era to me.
>> You know, uh I know you just came back
from black hat. Um and I want to get
your thoughts on this because you
mentioned the bad guys. You know, my two
favorite football teams are as New
England Patriots and the San Francisco
49ers. Um and the Niners, as you know,
had the West Coast offense back in the
80s and they they they pioneer.
>> Are you allowed to root for two teams?
>> Well, they're different conferences.
>> Okay. [laughter] Okay. So, I'm okay. I
adjust the rationale. Um but, you know,
look at Joe Montana. They had, you know,
Bill Walsh, they actually pioneered
score more points than the other guy.
You win and you had the old thesis of
defense wins championships. And
obviously when Brady was at at the
Patriots, they would throw up mega
numbers. So it was really an offensive
game and not a lot of defense. Now
you're seeing that come back. Compare
that to cyber because we're seeing now
more offensive capabilities with AI. The
bad guys get better. They're putting
more points on the board. There's
longtail
opportunities. You're seeing it every
day. Okay. So, there's a lot more
offense going on and we've always been
playing defense and talk about this
dynamic. So, this kind of came out from
my reading the tea leaves at black hat.
Great. More offense is great to protect
to beat on offense, but they have
offense,
>> right?
>> How do you explain this phenomenon or do
you believe it to be kind of a good
maybe it's not the perfect analogy, but
it's only I can think of.
>> Yeah. No, it's a very good analogy. And
by the way, I'm a Philadelphia Eagles
fan. And of course, the Patriots are
kind of our arch rival because we've
lost to him a few times [laughter]
and that guy Tom Brady, I don't know,
but who's a great guy by the way. But,
uh, they always say there's two things
you can never leave, your mama and your
football team. So, that's where I'm
from, Philadelphia. But coming to your
question, offense and defense, it's an
amazing shift of what's just happened. I
mean, I was CEO of Firey and Mandant and
McAfee and I spent a lot of years
defending, defend, defend, defend. You
never cross a line on the defense
towards what you now think of could be
offense. But what you're now starting to
see is platforms that can be developed,
one in which you know called Horizon
3.AI who's built this incredible
autonomous agentic platform who can now
do dual use as well. Not only can it be
one of the strongest defenders because
now at machine speed you can defend and
you can constantly monitor attack
surface, pentest that attack surface,
heal the attack surface, but you can all
use also use that technology for
offense. So not only you seeing the
private sector producing better and
better defenders, that same defender can
be in offense. And then you throw the
other side of the coin which is
entropics and open AI's models. You
know, initially starting with Opus and
now and then Mythos and Fable 5 and
Daybreak from OpenAI, you now have this
incredible model that can produce
vulnerabilities and understand and
ingest source code or binaries and
produce vulnerabilities. And not only
can they produce a vulnerability in a
binary, they can create multiple
chaining of vulnerabilities creating
zeroday exploits at machine speed. Yeah.
>> So now you have the attackers having
models of AI that can essentially do
things that humans took months and maybe
even years to cultivate an offensive
cyber weapon. They're doing them in
minutes, hours. So you have this
incredible offense and defensive
problem. And last thing I'd say, I never
thought in all my years, almost three
decades in cyber security, would I see a
scenario where an American company is
doing a cyber exercise, in this case,
open AI, that ended up breaching a
French company, Hugging Face, that then
defended itself with a Chinese company,
>> an openweight open source company. Where
would this ever happen? A Chinese
open-source company coming to the rescue
of an American company was attacking a
French company. But this is all the age
of aentic. That wasn't humans behind it.
That was largely technology behind it.
So,
>> what an error we're in.
>> Yeah.
>> I mean, it opens up so many questions
and I this is why I brought it up
because if you look at go back 17 years
ago when we started the cube in Silicon
Angle, you know, the big conversation
there was if you remember the
perimeter's dead because back then you
were perimeter based uh security uh and
then you had the cloud. the surface area
is all over the place and then now they
rationalize that and they built
platforms and tools best of breed but
now the surface area if you look at what
you just said it's not only bigger it's
everywhere you can inject and change the
surface area by injecting a binary so
now you have a completely different
situational uh awareness problem how do
you think about that how what and how
are successful entrepreneurs kind of
putting that filter in and how are they
thinking because you got to think
differently it's It's a systems game.
>> Mhm.
>> Systems agents working across apps and
platforms.
>> It seems like it seems to be much more
of a operating system thinking
absolutely than just hey my platform
here's an API and an MCP server,
>> right? I mean, John, you're hitting it
right on, right? We have this era of AI
versus AI now, right? There's no doubt
about it. You know, what can the good
guys do to protect AI and create new
opportunities in AI and what can the bad
guys use using AI? And it's a battle and
it's created almost an entirely new
attack surface for companies to defend
against to your point. So how do I
protect against a rogue agent? I
programmed the agent to do a certain
thing, but the agent became smarter and
smarter and escaped the sandbox and
breached another company. So how do we
start thinking about the attack surface
of that? And what's really interesting
in the age of AI, which I think you'll
find interesting as well, we're watching
the entire world flatten. It used to be
United States and Israel, give Israel a
lot of credit, especially in cyber and
defense tech and America. You're
watching this almost balkcanization
occur of NATO countries, Asian countries
who are now being forced to innovate
because largely many of them were forced
to contribute more NATO defense. So we
went from 1% to 2 and a.5% to 5%. When
you see a 500% increase in defense
spending country by country,
>> yeah,
>> this is this is mammoth. So it creates
innovation, creates new things that are
occurring and now the world's innovating
in a way that we've never seen.
>> That's why I love the AI infrastructure
converges with this because all the
things you mentioned things are popping
in my head. Sovereignty check that's a
cloud AI problem. Um other factors that
are more domain specific is cyber and
this is where I think it crosses over.
So the question for you is now is what's
your view on the advances in some of
these areas that were I won't say old
school but previous categories were
mechanisms that people would deploy
could be hardware software electronics
precisiong guided capabilities those
were kind of things that were out there
what changes have come down those the
pike on these areas what's the what are
some of the innovations I was talking
with Hawkeye 360 your company I mean
they're doing something very cool just
around RF in space. But what that
enables is a whole another intelligence
level,
>> right?
>> That changes someone else on land,
right?
>> But they're not in the land business.
They're in space and maritime right now.
But they're collecting critical RF
information. That's
>> right. Like this changes. What are the
changes in those areas?
>> Well, let's talk about it. I mean, if
you look at the history of mankind for a
second, whenever it discovered a new
domain, we fought wars over it, right?
We discovered lands. Armies would fight.
You discovered oceans. They would have
naval battles. You discovered the air.
We'd have battles in the air. We
discovered space. We're having raced the
space. We discovered cyber. It became a
domain. The fifth domain. We had battles
in cyber. We continually do. What's
happened now is every domain now has
cyber in it. So instead of cyber being
its own digital domain with the
internet, you now have cyber everywhere.
maritime, air, ground, space and the
wars are being fought in hybrid ways
now. So when Venezuela occurred as an
example, what happened? A lot of cyber
activities occurred precursor to kinetic
activities. So it's an integrated
system. The government of the United
States is forcing a multi-dommain cyber
kind of initiative. So we're watching a
lot of change across
>> multi- domain. I love you brought that
up because I was going to ask it, but
I'll I'll come I'll get to it now. What
what does that mean? is I like this idea
that if cyber is native through all the
domains makes total sense what other
horizontal factors need to be in place
and what's specific to that so cyber
makes sense and how does that change
cyber and and and whatnot so yeah so so
you now think about to your question of
hardware and software and capability now
it has to be wrapped in almost every
form factor for almost every domain so
how do I protect a tank or a jeep or a
truck or a car from a site cyber attack.
And not only is that cyber attack
potentially like a a spear fishing or an
intrusion digitally, it could be an
intrusion through radio frequencies,
electronic emissions kind of
capabilities. Airwaves, things like air
drops and Bluetooth become vectors of
attack for these physical systems. We
now have to protect every way we go. So
you mentioned Hawkeye 360 looking at
radio frequencies in space to ground
picking up RF and patterns of life of
every RF is coming off Earth. What is
the anomalous behavior of a GPS jammer
over here, a hypersonic over here, a car
driving on the freeway over here, a boat
or a ship on the ocean? And you learn
about patterns of life, but you also
learn that there's risk to all of that.
And we're now entering an era where
there's cyber warfare in space, on
ground, on air, and it's just all
becoming.
>> It's interesting. You know, we all watch
movies or we have our favorite movies
around some military backdrop. There's
always a scene in whatever movie where
they say, "Let's get a satellite image
of what's going on in that camp or oh,
they got guns and they're deploying
stuff." So pictures were basically the
the visual, but you can't see what's
going on in the bunker. Right.
>> So this is kind of where this
multi-dommain tech multi-tech approach
comes in, I think. Yeah. to me jumps out
about about Hawkeye is that you can it's
better than a picture,
>> but you've got the picture and the other
sensory sensors kind of this is kind of
where it goes. Again, this is a mashup
>> of technologies. Have you seen this
before? Is this net new for us as
thinking? Because it makes sense. Why
why weren't we doing that before?
This makes total sense. Why wouldn't you
have the most complete intelligence
picture possible?
>> My favorite movie was War Games.
Remember that movie? Like way back in
the day. And suddenly they they are
playing tic-tac-toe to end the game and
like the computer had taken over and
like we're in that era now. It's or
Terminator when Skynet was going on and
and I say that tongue and cheek but at
the same time the power of these systems
are getting so great that we have to put
guard rails. We have to be more careful
with what we're doing. We don't want to
slow down commerce and capitalism. But
the power of this tech is becoming so
great and the weapons that are being
able to create from that we really need
to protect. The idea of a weapon of mass
destruction was really thought about
atomically or nuclear before. Now you
now have AI models training on DNA and
RNA to produce new viruses and
pathogens. I mean that could create
>> that's a vector
>> a vector of attack. Yeah. Of course.
>> Right. So we're watching all new ones
emerging just like happened during co We
now have the ability with AI to create
new viruses, maybe even more lethal.
What do we have to do to get that right,
defend against that properly, and let
defense get ahead of the offense? And
this is a point in time for mankind in
my opinion where we have to just take a
pause, make sure we get defense ahead of
offense, get the right regulation on it,
and make sure that the gap doesn't get
too wide too fast and in the hands of
bad people too quickly.
>> You know, I love the I love when I do
these cube interviews when there's
always a new technology, whether it's a
disruptive enabler or an accelerant
enabler. There's always the good side
and the bad side. And you know in
military it was always the generals had
this like there was a room of people
that were new military. They would have
their caucuses. They would ga convene
and gather and and do all that thinking.
But it's kind of been democratized. So
what is the current narrative and state
of the the union if you will in the
defense sector around government experts
that do this for a living and uh
commercial experts like yourself and
entrepreneurs. What is the joint
narrative? Because we see what SpaceX
did. they they beat NASA at everything
that they did and you know they helps
everyone gets leveled up but what's the
narrative of this new ecosystem of
participants because it is a collective
intelligence at this point as you
mentioned things got to be horizontal
they got to crossplatforms
>> well you really hit on John because I'm
I'm really proud of this administration
for a number of things and there's a lot
we could talk about there but one thing
they've really been able to do is a
infuse cyber to all multi-dommains
B partner with private sector in a way
that can create accelerance of
innovation to the war fighter or to the
mission that's needed. We used to have a
very challenging and difficult
procurement engine that was really an
ogalopoly of defense primes. We've kind
of broken that open now to allow new
neos to come along, new technology to
come along.
>> They've also created a lot of innovation
capital. Yeah. So that like the defense
innovation unit or DARPA can really
create innovation early in the life
cycle. So America's getting its mojo in
a way that we have never seen before and
that's a really amazing thing in my
opinion.
>> I want to get to the battlefield. In
fact, um I was sharing to Sol at Horizon
earlier today that around 2017 or I
forget what year 2017 or 2018, I
participated in a Chattam House rules
thing that General Mattis put on
>> and this was right around the Jedi
contract that Amazon was working on, you
know, Tactile Edge and it was all a lot
of
>> DoD stuff. And the number one thing he
said was friendly fire is one of the
highest forms of casualties. not having
the right systems, who are you shooting
at? And again, at that time, but when
you factor in drone swarms, machines,
there's kind of a friendly fire problem,
meaning we could we we could hurt
ourselves if we don't know what we're
doing because if there's drones and
there's agents out there, does that come
up or am I a little bit reading it too
early on this? But like I'd imagine
there'd have to be some sort of software
intelligence around the congestion
problem, the airspace. I mean, drones
alone could take down a helicopter. I
mean, I could imagine there's a friendly
fire dynamic, not with humans involved,
but machines. And of course, the side
effect impacts could be systems could
come down. What's your thoughts on that?
>> Like we talked about multi-dommain
integration of digital and cyber and all
of the domains beginning to have to work
together and coordinate. Space tips and
cues aerial, aerial tips and cues to
maritime, maritime tips and cues to
ground or to cyber. We need
multi-dommain intelligence and
communications integrated to all of them
and securely so we don't get friendly
fire problems. We don't have issues like
we have sometimes kinetically on the
battlefield. And that technology is here
now. I'm sure you know Palunteer uh the
Maven smart system has created a hell of
an integration platform. There's other
startups doing similar things to enable
us to ingest. We invested in a cool
company called Armada.ai AI who
essentially takes compute and moves it
to the point of need for the war fighter
for the mission and it's like a suitcase
size data center all the way to a truck
size container data center and you can
move it out in the desert on an oil rig
or wherever you might need it and now
you have massive compute for data
ingestion and communications that you
have to go to satellite or something
else to do to really create more effect.
So they light up essentially the theater
where they might be constrained on
bandwidth. I mean you can have a Tesla
running around in a Whimo in San
Francisco but you can't be doing that in
Ukraine,
>> right?
>> Because you need power and you need
compute. So if you can create small
modular reactors, SMRs to the point of
need and you can put ruggedized compute
at the point of need now you can start
to use things like electronic warfare,
electronic magnetic pulsing. You can
start to use lasers. you can start to
use non-kinetic weaponry that's safer as
well to bring down kinetic threats that
might be occurring.
>> Let's let's talk about the battlefield
and decision-m because you mentioned the
Terminator um and Skynet which everyone
kind of uses a metaphor in a bad way but
you know it was technically a Marvel if
you think about the sci-fi of it
decision making at the commander level
and at the at the edge to the to the war
fighter. How does AI impact that? How do
you see that playing out? because that's
an area you're going to start to see a
lot more. We hear about decision loops.
You that's an AI term, looping, you
know, recursing through uh you know
prefill, decode, all that tokenization
stuff that we we talk about with Nvidia.
That's going to be a key thing on the
battlefield where you have to have
essentially rack scale clusters
available
decision-m the humans in the loop, the
agents, the machine speed. How does that
play out in your mind? Well, we're
starting to see scenarios, John, where
autonomy
is beginning to be a multiple of humans,
right? So, think about this. At every
domain that we had talked about on
ground, we're starting to see soldiers
and other types of ground equipment be
completely autonomous. So, if we want to
be able to move a truck or a tank or a
jeep or something into the battlefield,
we can move autonomous vehicles into the
field, having humans in the background,
saving lives. We're already seeing that
in Ukraine battlefield today with aerial
drones where you're using FPVs or fiber
optic cabling on drones that are
essentially able to fly and be able to
eradicate a target and there's no human
involved necessarily with that defense.
That's happened in maritime now where we
see drones. We have a company called
Seronic doing that where they build
ships that are completely autonomous to
essentially rescue Apache helicopter
pilot that was in the straight of Hormuz
or now more and more monitor the coast
guard or deliver goods across the ocean.
So so many things are moving autonomous
and in that you have to be careful
because the autonomy is programmed.
>> Yeah. And that can be hacked. And if
that gets hacked, what happens? So we
have so many new levels of defense and
offense.
>> Again, back to my earlier question
around the surface area. It's not only a
surface area, but it's below the
surface. There's code, right?
>> So you have all kinds of code involved.
All right. Well, this is first of all,
thank you so much for sharing that
insight. It's really primary data on
what's happening. And
>> are they more scared or less scared? I'm
not sure.
>> Well, no, it's I mean, you know, it's
they're hard problems and engineers love
to solve hard problems. So to me, it's
like the more you're transparent about
it, the more it'll work. And there's a
sovereignty angle too which I love. Um
what is your focus now? Obviously you're
doing a lot of work and really
appreciate what you're doing and
certainly at the government level
bringing you know the ideas and the
leadership there but investments um you
know you mentioned a few of them. Is
there a thesis you got right now? Is
there is there a certain um pattern that
you're looking at? What jumps out at
you? What's your focus right now?
>> So Night Dragon's entirely focused in on
what we call securing the world for
tomorrow. So my entire focus is on
security and safety across every domain
from space to ground to cyber to AI to
quantum whenever we see a new sort of
domain coming and now we see quantum's
domain coming how do we secure the
quantum domain and what does quantum do
to other domains where we got to protect
that that's called the postquantum
compute era PQC because it's going to
infect encryption and decryption so
we're focused on that what does AI do to
all those markets We're already working
on a lot of those areas. We also see
next generation drones in space now. So
you're going to see low earth orbit
satellites, but you're going to see
drones flying all over doing inspection,
training, maintenance, things like that.
Also, they could do cyber attacks and
electronic warfare in drones in space.
So wherever there's a threat or a risk,
we want to have an investment model to
secure the world. I I would just tell
people that it's very difficult what you
do because what you just laid out is
great mission 100% love the mission
however the tide shifted it reminds me
of the days when I broke into the
industry when I was my late teens um the
computer industry was a term the
computer industry and that was just
computers
>> and they put them into business
government bought and people did stuff
on them they bought software you were
involved in many of those companies now
if you want to power save secure the
world for tomorrow you have to build it
on the right stuff
>> which means you have to know everything
about the stack. So you kind of have a
compatibility matrix I'm sure that it
must match
>> the ability to surround yourself with
smarter people than you are and that's
what I do too. So
>> but you have but that's that's central
to your thesis right you have to say hey
if I'm going to have intelligence
>> across domains and it has to be
architected properly
>> and something we tried to do you
mentioned this earlier was we know at
night we're not going to know it all but
what we want to do is create a platform
of people partners government who can
help us with these thesis so working
closely with the government and the war
fighter you know what the threat is
>> you know what the risk could be working
with partners like the primes and global
prime system integrators, you kind of
know if they could sell it or deliver
it. Working with your adviserss like
generals and admirals and CISOs, you
know, if they'd buy it. So, if you get
all that, you can come up with what the
next threat risk problem is. And that's
what we hope to
>> I have to ask you this question because
you're um historian as well as a leader
in what you're doing now. In the old
days when you were running companies,
you had a department, business
development, you had salespeople,
enterprise say oh go get the get the
customer and there's a well-known
process for you know that go to market
bisdev would build relationships with um
partners um some Barney deals as they
call them and the old school um
vernacular but partnerships were pretty
much let's do a business deal maybe some
technology transfer uh it seems that
with cloud that's changed and now with
the AI infrastructure and the and the
role that it's impacting accelerating
the role goal of being an ecosystem
partner has changed. Could you share
your vision on what's changed and or
what's not changed? Because it seems to
me that there's a lot more co-designing
going on, a lot more deeper
conversations than simply papering. Hey,
we signed a deal. We're doing go to
market together. We do a little
>> license technology. We'll integrate it
on our side. Maybe it's a little slower.
What's the the new form of partnering in
this era? Ironically, there's almost a
back to the future happened here. Like a
a full life cycle that's occurred
because now in this AI era, you have a
lot of Fortune 100, Fortune 500 type
companies that are getting disrupted. So
you end up with like primes. You take a
Lockheed or a Northrup or a large prime
suddenly all this autonomy comes along
and access to procurement comes along
and they have to change. So partnering
became more important to them than ever
as well. Or you take a Visa or a
Mastercard who didn't worry so much
about cyber security. They worried about
it, but now they have more.
>> They built their own stuff.
>> They built their own stuff. Now they're
buying companies and partnering in ways
we've never seen. You look at the
blockchain and all the Coinbases of the
world like you start to see every era
require partnering to be better because
you don't want a catastrophic breach or
threat to your environment. come all the
way around.
>> Yeah, I mean it's a whole another world
and again it's game is kind of still the
same but it's just different fashion I
guess.
>> Thanks for coming on the cube. Thanks
for having me.
>> Dave Waltz he's innovator but also
leading the charge on defense tech.
Again this is the kind of stuff we want
to unpack with this program. Figure out
where's it going? What does it mean to
us? And again where the innovations
because safety and security are
paramount in the AI era but it's
affecting up and down the stack from the
AI factories all the way to uh people on
the streets and of course protecting our
society. Thanks for watching.