WEBVTT - A Conversation with Mike Privette from Return on Security

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<v S1>All right, Mike, welcome to unsupervised Learning.

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<v S2>Hey, thanks for having me, Daniel.

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<v S1>Very cool. So I've been wanting to get you on

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<v S1>the show for quite some time, and we've been talking

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<v S1>about doing it. I really love what you're doing over

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<v S1>there on Return on Security. I kind of see you as, like,

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<v S1>the Nate Silver or the 538 of, uh, the security industry. Like,

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<v S1>you just kind of seem to know what's going on, and, uh,

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<v S1>just really impressed with what you're doing. Can you tell us, um,

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<v S1>about what? All you have, uh, sort of in the

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<v S1>hopper and going on in different projects you're doing.

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<v S2>Yeah. Awesome. Uh, well, thanks for that intro. And, uh,

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<v S2>and the kind words, too. I love that, uh, the

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<v S2>concept of, uh, the 538. Um, you know, I really

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<v S2>am just trying to at return on security, capture the

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<v S2>entire industry, uh, of cybersecurity. Um, and I've, you know,

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<v S2>through the years of working and I've seen a bunch

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<v S2>of different variations of people looking at the industry from

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<v S2>either a product centric kind of view or from an

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<v S2>investment banking kind of view. Uh, or for like a

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<v S2>public equities, like, you know, the big public companies that

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<v S2>get traded and talked about a lot. Uh, but I've

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<v S2>never seen anybody kind of pull it all together, uh,

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<v S2>in a way that you can understand if you're not

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<v S2>an investment banker. Uh, and so that was kind of

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<v S2>one of the things I was trying to do return

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<v S2>on security was to kind of catalog all these things,

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<v S2>but speak for the voice of the practitioner, uh, and

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<v S2>the CSO. And that's, that's kind of what led me

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<v S2>to this. And just, um, most of my experience, uh,

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<v S2>through security has been on the engineering side. So I

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<v S2>was always kind of front and center with buying tools,

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<v S2>deploying tools, operationalizing tools. Um, and I had a lot

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<v S2>of opinions because of that. Yeah. So it just started, uh,

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<v S2>kind of writing them down and, uh, capturing this stuff.

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<v S2>And I thought, uh, maybe I can help other people

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<v S2>understand this space better, too.

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<v S1>Yeah, that's really cool. So who is the main audience

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<v S1>like the ICP here? You mentioned CSOs. That definitely makes sense.

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<v S1>So security leaders, but would you say also like senior

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<v S1>practitioners as well like technical people or what do you find. Yeah.

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<v S2>I would definitely say that. Definitely security leaders. Uh, and

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<v S2>then a lot of the senior practitioners who are often

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<v S2>the ones informing or advising the leaders on what to buy,

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<v S2>what to what kind of direction to go in, what

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<v S2>kind of strategy to put together. Um, and that I

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<v S2>kind of made this also for me as I was

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<v S2>missing kind of these aspects of what, uh, you know,

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<v S2>the weekly newsletter could kind of give like, what's the

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<v S2>market even look like right now? And what should I

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<v S2>be thinking about ahead of time? Um, so I'd say

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<v S2>that that audience of security people makes up about 80%

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<v S2>of the audience. Um, the other 20% is actually a

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<v S2>healthy dose of cybersecurity founders. Uh, they use a lot

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<v S2>of it. What I produce is like market intelligence for

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<v S2>themselves against competitors or whatnot. Um, and then a lot

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<v S2>of the rest of that is also, uh, VCs or

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<v S2>private equity funds, uh, who are also doing similar kind

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<v S2>of market intelligence and trying to keep track of startups

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<v S2>where they are in their journey and, you know, when

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<v S2>they might want to raise more money.

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<v S1>Yeah. That's perfect. I mean, I don't know how much

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<v S1>that was an accident, but you really did create the

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<v S1>best resource for all those different groups.

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<v S2>Well, thank you. It was kind of an accident, but, uh,

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<v S2>just kind of was born out of, uh, just like,

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<v S2>just trying a bunch of different things and getting some

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<v S2>kind of outside help, uh, from friends who were in finance. Um,

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<v S2>so I kind of wanted to make it sure that

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<v S2>they could digest it, too. So I asked some friends

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<v S2>who do, uh, investment banking or, uh, M&amp;A activities and say, like,

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<v S2>how do you normally want to see financial data or

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<v S2>money data, things like that, like what makes sense? And

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<v S2>then I kind of try to apply that in security.

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<v S2>And uh, it was honestly a lot of luck to, uh,

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<v S2>putting it all together.

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<v S1>Yeah, I feel like it's really congealed over, like the

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<v S1>last year or so, like where you kind of found

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<v S1>that voice and you found the audience and you know

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<v S1>what they are looking for. Yeah, really, really strong. So

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<v S1>I guess I've got a number of questions for you. Um,

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<v S1>but they all kind of have the same theme, which

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<v S1>is what the hell has been going on? Um, like,

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<v S1>so for like the last, I don't know, I can't

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<v S1>even remember how long it's been. Is it like three years?

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<v S1>Maybe three years, maybe a year and a half where. So, like,

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<v S1>the economy is like. Or in cybersecurity specifically. We had

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<v S1>a boom. I can't remember when the boom kind of,

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<v S1>I guess the boom was post-Covid. It was it was

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<v S1>like a post-Covid, like hiring boom. And then there was

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<v S1>like all this excitement and sort of froth. And then

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<v S1>at some point, um, there was like, just like the

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<v S1>crash that came after that. Right. So how would you

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<v S1>describe this? Like, it seems like you've got to be

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<v S1>like the, the, uh, the expert here and one of

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<v S1>the top experts in the world on this, and I'm

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<v S1>trying to find out, of course, it's multivariate, but, like,

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<v S1>what was this? Was this all the result of anti-Covid

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<v S1>or over hiring from Covid? Or was it maybe pushed

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<v S1>back on? Um. Uh, policies inside of companies being a

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<v S1>little bit too pro employee. And companies are like, look,

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<v S1>we only I've got like this theory of like, uh,

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<v S1>the Alaskan fishing boat thing where it's like, I need

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<v S1>absolute killers on this boat. Only the best. And like,

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<v S1>if you say your ankle hurts, you can't come on

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<v S1>the boat, right? Right. If if your priority is your family,

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<v S1>you can't come on the boat. You want work life balance.

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<v S1>You're not coming on my crew. And so I felt

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<v S1>that happening at the same time. And I just I'm

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<v S1>not as close to the data as you are, so

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<v S1>I'm wondering what you think. Cause the boom caused the crash.

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<v S1>And where are we now? Yeah.

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<v S2>That's a great question too. And I think honestly, the

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<v S2>the crash was building long before Covid happened. Um, if

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<v S2>basically if you look after the Great Recession in 2008, uh,

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<v S2>in the US, when the housing market at the first crash, uh,

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<v S2>and it effectively recovered around 2012, 2013, that was a

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<v S2>time at which interest rates had become very, very low

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<v S2>to stimulate kind of growth in the economy that stimulated investments, um,

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<v S2>outside of traditional banks. And so money was a effectively

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<v S2>very cheap to borrow, which, yeah, venture capital loves startup

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<v S2>founders love and that uh, that the old habits from

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<v S2>early days of Silicon Valley and like the pre com

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<v S2>bust era continued on. So it was uh, it was

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<v S2>very easy to grow a company quickly. It was very

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<v S2>easy to raise a lot of money quickly. It was

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<v S2>very easy to scale. Um, it wasn't impossible to, to

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<v S2>raise a couple hundred million dollars and then go IPO

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<v S2>in this time frame, which is, you know, kind of

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<v S2>the ultimate goal of, uh, you know, companies to raise

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<v S2>venture capital money. Um, so all of those things played

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<v S2>out across the entire industry, like, uh, not just cyber,

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<v S2>but the entire set of industries. Uh, it just so happened, though,

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<v S2>at the same time, tech had a, you know, a

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<v S2>total run. Uh, they did really, really well as a

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<v S2>general sector. And then cybersecurity did even better within the side,

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<v S2>that small sector of tech. And it almost seemed recession, uh,

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<v S2>recession proof in some ways. Um, and any time there

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<v S2>was news funding went up or investments went up, any

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<v S2>time there was a breach, investments went up. Anytime there's

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<v S2>global conflict, investments went up. And so like, it kind

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<v S2>of just kept happening in cybersecurity. Uh, and so there

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<v S2>was really a good ten year or so period in

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<v S2>cybersecurity where things were just as good as they could be.

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<v S2>It could only go up into the right. Uh, and

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<v S2>so a lot of people flocked to that. A lot

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<v S2>of investments flocked to that, uh, a lot of people

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<v S2>that would have put their money elsewhere, dumped it all

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<v S2>in cybersecurity. Uh, some became specialists, some became just tourist

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<v S2>investors who'd, you know, invest occasionally. Um, and then as

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<v S2>you go up to Covid area, Covid era policies had

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<v S2>to kind of reverse all of this low interest rate

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<v S2>phenomenon that happened across the world. Uh, and each country

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<v S2>took a different approach, but the US took a pretty

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<v S2>hard approach. Uh, the US Federal Reserve, that is, took

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<v S2>a hard approach on ratcheting interest rates way up to

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<v S2>kind of slow down the possibility of having another recession

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<v S2>or even a depression in some ways. Um, and since

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<v S2>most of the money in the world invested in tech

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<v S2>and cyber comes out of the US or originates in

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<v S2>the US, uh, that hit the tech sector super hard

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<v S2>and hit cybersecurity sectors very hard. Um, so imagine where

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<v S2>you've raised, you know, a couple hundred million dollars over

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<v S2>the past 3 or 4 years prior to about 2022

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<v S2>is when, uh, early 2022, when this happened. And then

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<v S2>you might be worth $1 billion. You might be worth,

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<v S2>you know, a couple billion dollars. But then now, because

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<v S2>you've spent all this money and time and effort into

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<v S2>growing kind of at all cost, as opposed to like

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<v S2>growing a product market fit and growing like products in

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<v S2>a way that people actually want to consume, not just

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<v S2>to compete or winner take all. People are now left

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<v S2>with like, wait, sales don't match what my valuation says.

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<v S2>Sales don't keep up with the money I raise. And

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<v S2>so there was a super hard reckoning, um, from a

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<v S2>lot of things like operational efficiency became the name of

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<v S2>the game. Um, so it was no longer enough to

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<v S2>raise money. You actually had to, like, make money as

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<v S2>a company, which, uh, kind of cracked me up thinking

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<v S2>about it, but.

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<v S1>Yeah, let me let me jump in there real quick. So, um.

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<v S1>I've heard. Uh, do you listen to Scott Galloway?

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<v S2>I have.

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<v S1>Yeah. Yeah, yeah. So he talks about this a lot. How? Um,

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<v S1>I'm not sure he says it like this, but there's essentially, like,

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<v S1>two phases or two different vibes that a company can

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<v S1>be in, which is like this. Kind of like a

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<v S1>fantasy phase where you disconnect fully from the underlying financial

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<v S1>fundamentals and you're just kind of operating on, like you said,

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<v S1>growth at any cost or just like this state of

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<v S1>belief and hype, kind of like a crypto surge or something.

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<v S1>And it has its own gravity and it takes on

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<v S1>its own form. And he said the same thing you

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<v S1>just did, which is at some point there is a reckoning.

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<v S1>Eventually you're going to get back to somebody. Maybe it's

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<v S1>like the replacement management team. They come in and they're like, hey, let's, um,

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<v S1>let's do something crazy. Let's figure out how much money

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<v S1>we're making and how much money we're spending. Right. Um,

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<v S1>so so this is really interesting. So you have an

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<v S1>underlying economic thing, which is kind of the biggest. Yep.

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<v S1>Then you have maybe related to that, you have this, um,

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<v S1>transition of a lot of these companies going for that

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<v S1>other style of company where it's not super tied to

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<v S1>the product itself. And the I think Scott calls it

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<v S1>like the fundamentals, market fundamentals. Mhm. And then um, then

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<v S1>you have Covid in addition, which is another disruptor. And

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<v S1>it sounds like all those sort of combine and. To

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<v S1>form the build up, but also to form the crash. Yep.

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<v S2>I think that's a great way to think about it.

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<v S2>And you know it. Also, you look at broader tech

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<v S2>kind of, uh, plays that happened so largely, uh, tech

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<v S2>sectors copy like people or companies in the tech sector

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<v S2>copy each other. If, if a Facebook or a Google or, um,

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<v S2>a Microsoft makes a move to reduce headcount, many of

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<v S2>them follow suit. The other big companies and then companies

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<v S2>start reevaluating. Maybe we should do that too. Uh, maybe

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<v S2>the investors certainly come knocking and they say, hey, wait

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<v S2>a second, shouldn't you be more profitable or more operationally efficient?

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<v S2>Let's let's drive that cost burn down. Uh, and so

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<v S2>that also added into the effect as well.

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<v S1>Yeah. It, it feels like both of those are super contagious. The,

0:12:21.550 --> 0:12:26.870
<v S1>the getting away from fundamentals is super contagious. In the hype,

0:12:26.870 --> 0:12:30.500
<v S1>and then the returning of fundamentals is also equally contagious.

0:12:30.500 --> 0:12:34.790
<v S1>Everyone's like, hey, what are we doing? Like, I'm talking

0:12:34.790 --> 0:12:37.969
<v S1>to Chuck and Sally over here, and, uh, they're both

0:12:37.970 --> 0:12:39.860
<v S1>saying we should get back to the books and we

0:12:39.860 --> 0:12:43.939
<v S1>should absolutely do that. It's like fashion trends almost.

0:12:44.750 --> 0:12:46.550
<v S2>Yeah, that's a good way to think about it, too.

0:12:46.550 --> 0:12:49.670
<v S2>Like what's in vogue versus what's not. Um, and a

0:12:49.670 --> 0:12:51.709
<v S2>lot of it, as much as people want to you

0:12:51.710 --> 0:12:54.080
<v S2>believe that, like, you know, the market is is based

0:12:54.080 --> 0:12:57.290
<v S2>on data and science and, um, hard proof. A lot

0:12:57.290 --> 0:12:59.390
<v S2>of times, a lot of us just feeling like even

0:12:59.390 --> 0:13:01.850
<v S2>investments are a lot of feeling, um, a lot of times,

0:13:01.850 --> 0:13:05.390
<v S2>which is why, um, not all investments, most investments don't

0:13:05.390 --> 0:13:08.360
<v S2>return any money. Uh, so, like, that's, you know, there's

0:13:08.360 --> 0:13:10.160
<v S2>you can't predict some of these things. So you have

0:13:10.160 --> 0:13:11.930
<v S2>to go with a bit of underlying feeling and gut.

0:13:11.929 --> 0:13:13.820
<v S2>And so that is contagious as well.

0:13:14.510 --> 0:13:19.440
<v S1>Um, yeah. Interesting. So what are some of the other

0:13:19.440 --> 0:13:21.750
<v S1>trends that you're seeing that you're sort of tracking that

0:13:21.750 --> 0:13:22.890
<v S1>you find interesting?

0:13:23.830 --> 0:13:25.270
<v S2>So right now, I think we've had a little bit

0:13:25.270 --> 0:13:28.450
<v S2>of a rebound effect because there is, uh, it's a

0:13:28.450 --> 0:13:32.170
<v S2>kind of a macroeconomic phenomenon where people expect things to

0:13:32.170 --> 0:13:34.450
<v S2>get better. And so if they expect it, it does

0:13:34.450 --> 0:13:38.800
<v S2>get better. It's a strange, like, chicken and egg concept. But, uh,

0:13:38.920 --> 0:13:41.740
<v S2>there was a bit of a rebound. Um, I've noticed

0:13:41.740 --> 0:13:46.390
<v S2>that 2024, even in these first 12 weeks, is already, uh,

0:13:46.390 --> 0:13:50.080
<v S2>almost as good as 2023. Um, and even though there's

0:13:50.080 --> 0:13:52.870
<v S2>been less transactions, there's almost the same exact amount of money,

0:13:52.870 --> 0:13:56.710
<v S2>so there's fewer transactions happening, but there are more, uh,

0:13:56.710 --> 0:14:00.280
<v S2>profitable each time or more, more revenue is, uh, or more, uh,

0:14:00.280 --> 0:14:05.020
<v S2>cash is exchanged hands each time. Um, and like the

0:14:05.020 --> 0:14:08.080
<v S2>M&amp;A has also kind of been one of those, uh,

0:14:08.080 --> 0:14:11.440
<v S2>kind of second or third order effect knock ons that

0:14:11.440 --> 0:14:16.630
<v S2>have come from the fallout of 2022. So companies who, uh,

0:14:16.630 --> 0:14:19.810
<v S2>started in that time frame probably had a really tough time.

0:14:19.810 --> 0:14:23.500
<v S2>They either sink or swim very quickly. Um, and I'm

0:14:23.500 --> 0:14:26.950
<v S2>seeing companies who started early. Now they're getting acquired quicker,

0:14:26.950 --> 0:14:29.260
<v S2>which is, you know, it might be, you know, a three,

0:14:29.260 --> 0:14:32.140
<v S2>four year turnaround, uh, for an acquisition now as opposed

0:14:32.140 --> 0:14:34.989
<v S2>to like 7 to 10 in some cases. So I

0:14:34.990 --> 0:14:38.680
<v S2>think that is interesting. Uh, because, uh, the, the underlying

0:14:38.680 --> 0:14:42.190
<v S2>premise there is like companies either need a lifeline because

0:14:42.190 --> 0:14:44.680
<v S2>they can't survive and actually make sales themselves, and they

0:14:44.680 --> 0:14:48.850
<v S2>need like to be absorbed or acquired into a larger company. Um,

0:14:49.480 --> 0:14:51.670
<v S2>or they just have something that's so good that larger

0:14:51.670 --> 0:14:55.239
<v S2>companies like can't iterate or can't innovate without it. So

0:14:55.240 --> 0:14:56.890
<v S2>they buy it up real quick to try to get

0:14:56.890 --> 0:14:58.960
<v S2>it off the market and try to stay relevant with

0:14:58.960 --> 0:15:03.910
<v S2>the other large companies. Um, so I think that's that's

0:15:03.910 --> 0:15:08.680
<v S2>pretty interesting. Um, another concept I would say is, uh,

0:15:08.680 --> 0:15:12.160
<v S2>you know, obviously application security has exploded with AI. I

0:15:12.160 --> 0:15:15.190
<v S2>think that's probably like one of the quickest and, uh,

0:15:15.190 --> 0:15:17.080
<v S2>probably one of the better use cases to kind of

0:15:17.080 --> 0:15:20.590
<v S2>help support that function. Um, and it feels a lot

0:15:20.590 --> 0:15:24.250
<v S2>more tangible than, you know, an autonomous stock agent or

0:15:24.250 --> 0:15:27.640
<v S2>like a, a replace your SoC. Analysts like levels one

0:15:27.640 --> 0:15:30.280
<v S2>and two with a, you know, an all knowing agent.

0:15:30.430 --> 0:15:32.860
<v S2>It may come their that way eventually, but uh, I

0:15:32.860 --> 0:15:36.280
<v S2>think um, the, the first the shine has worn off

0:15:36.280 --> 0:15:38.740
<v S2>of the first level of AI security or security for

0:15:38.740 --> 0:15:41.620
<v S2>AI companies. Uh, and people are starting to see that

0:15:41.620 --> 0:15:45.820
<v S2>there's like real tangible benefit and like the application security

0:15:45.820 --> 0:15:47.260
<v S2>and the data security side.

0:15:47.260 --> 0:15:51.250
<v S1>When you say the first layer, you mean pre this

0:15:51.250 --> 0:15:54.070
<v S1>new gen of AI, you mean like the old AI

0:15:54.100 --> 0:15:58.510
<v S1>security companies who were like. Yeah, automate the sock. But

0:15:58.510 --> 0:16:01.540
<v S1>that was before Gen I. You're saying that the Gen

0:16:01.540 --> 0:16:06.070
<v S1>I stuff is like injecting some real, real, um, energy?

0:16:06.070 --> 0:16:09.729
<v S1>I definitely agree with that. But how? We're using it manifest.

0:16:09.730 --> 0:16:12.100
<v S2>Yeah, I'm seeing some energy. So I think there were

0:16:12.100 --> 0:16:15.550
<v S2>some last year, uh, you know, after after OpenAI and

0:16:15.550 --> 0:16:17.800
<v S2>everyone came out or like, it's 18 months ago. So

0:16:17.800 --> 0:16:20.080
<v S2>now there's a lot of early, early companies that were

0:16:20.080 --> 0:16:24.910
<v S2>trying to do something with security as like as new startups. Um,

0:16:24.910 --> 0:16:28.030
<v S2>most of them were just like, uh, proxies or casbs

0:16:28.030 --> 0:16:30.370
<v S2>or just like basically a firewall to kind of limit

0:16:30.370 --> 0:16:33.520
<v S2>the exposure that a company would have. Um, those had

0:16:33.520 --> 0:16:35.650
<v S2>a quick pop and then they've kind of like trailed off.

0:16:35.650 --> 0:16:39.700
<v S2>And then you saw the next iteration even after like, uh,

0:16:39.700 --> 0:16:42.820
<v S2>OpenAI came out and the others, uh, of like replace

0:16:42.820 --> 0:16:45.190
<v S2>the sock, but like in a different way than how

0:16:45.190 --> 0:16:48.700
<v S2>they used to say, replace the sock. Um, now more

0:16:48.700 --> 0:16:51.460
<v S2>of like, just like a the co-pilots, if you will,

0:16:51.460 --> 0:16:54.070
<v S2>like the the everyone, every product now has an AI

0:16:54.100 --> 0:16:57.370
<v S2>copilot and an AI chatbot to go with it. Yeah. Uh,

0:16:57.370 --> 0:17:00.010
<v S2>even that's starting to lose its its shine now, and

0:17:00.010 --> 0:17:02.380
<v S2>they're trying to get a lot more around help me

0:17:02.380 --> 0:17:05.230
<v S2>automate the fix. So I think that that's a pretty neat, uh,

0:17:05.230 --> 0:17:09.400
<v S2>iteration of it. Now, it's no longer just purely kneejerk, uh,

0:17:09.400 --> 0:17:12.760
<v S2>you know, cover my legal basis. It's let me actually

0:17:12.760 --> 0:17:16.450
<v S2>make appsec or things like that, uh, faster and more, uh,

0:17:16.570 --> 0:17:20.830
<v S2>more concrete for all the parties involved. Uh, so I think, uh,

0:17:20.830 --> 0:17:25.659
<v S2>that one is really interesting. Um. And then kind of

0:17:25.660 --> 0:17:28.359
<v S2>at the same, the same time, uh, a kind of

0:17:28.359 --> 0:17:30.790
<v S2>a smaller space that people don't really think about as

0:17:30.790 --> 0:17:34.060
<v S2>much that I find really interesting now is the explosion

0:17:34.060 --> 0:17:36.969
<v S2>of trust and safety, because, like, it's so much more

0:17:36.970 --> 0:17:40.480
<v S2>important now to even understand which videos, which content, which

0:17:40.480 --> 0:17:43.210
<v S2>anything you're consuming is real or not. And it's it's

0:17:43.210 --> 0:17:46.480
<v S2>more than just a social media problem. It's becoming a

0:17:46.480 --> 0:17:48.669
<v S2>company problem as well. Like it's a brand. It's a

0:17:48.670 --> 0:17:52.959
<v S2>reputational problem. Um, that extends beyond just somebody making a

0:17:52.960 --> 0:17:56.020
<v S2>deepfake video. So I think that's there's a lot of

0:17:56.020 --> 0:17:59.170
<v S2>going on that. And then you add on geopolitical contexts

0:17:59.170 --> 0:18:01.030
<v S2>and like wars on top of that stuff. And it's

0:18:01.030 --> 0:18:04.420
<v S2>it's very interesting, um, like how you, how you sort

0:18:04.420 --> 0:18:06.370
<v S2>all that out. And I think this is a place

0:18:06.369 --> 0:18:07.810
<v S2>where I can really help.

0:18:08.869 --> 0:18:13.760
<v S1>Yeah. Interesting one section I think's going to absolutely blow up.

0:18:13.760 --> 0:18:16.790
<v S1>And I don't think um, I don't think there are

0:18:16.790 --> 0:18:19.910
<v S1>many people playing here yet, but actually there's a decent

0:18:19.910 --> 0:18:28.879
<v S1>number like, um, validation. Of ground. Truth is a space

0:18:28.880 --> 0:18:33.560
<v S1>that I think needs to, well, is just going to, uh,

0:18:33.560 --> 0:18:38.159
<v S1>blow up. So, so I, I see this as. Um,

0:18:38.160 --> 0:18:40.949
<v S1>me and you having some sort of, like device. It

0:18:40.950 --> 0:18:42.540
<v S1>might be on our phones. It probably will be on

0:18:42.540 --> 0:18:45.150
<v S1>our phones because it's expensive to carry an extra device.

0:18:45.150 --> 0:18:49.080
<v S1>So basically, you and I have a pre-existing, like, uh,

0:18:49.080 --> 0:18:53.190
<v S1>signal connection. Mhm. So we go to get on this,

0:18:53.190 --> 0:18:56.670
<v S1>this call right here. And um, like I've seen you

0:18:56.670 --> 0:18:59.340
<v S1>move your hand when you move your hand also with me,

0:18:59.340 --> 0:19:03.149
<v S1>you see, see the green glitching. Yeah. The green screen.

0:19:03.150 --> 0:19:10.170
<v S1>Same happens with you. Um, and when, um, we get

0:19:10.170 --> 0:19:13.419
<v S1>ready to do a call. I think we're going to

0:19:13.420 --> 0:19:18.760
<v S1>do something like. Okay. Initiate, uh, pre-shared key connection or something.

0:19:18.760 --> 0:19:23.440
<v S1>And you put up actually on your, on your screen

0:19:23.440 --> 0:19:27.160
<v S1>and show a code which is corresponds to the code

0:19:27.160 --> 0:19:29.920
<v S1>I have, which is part of the Pre-shared. Uh, now

0:19:29.920 --> 0:19:33.580
<v S1>it's part of the video. As well. And so now

0:19:33.580 --> 0:19:38.050
<v S1>we've validated that this video feed. With a combination of

0:19:38.050 --> 0:19:42.220
<v S1>live and a combination of pre-shared. We have an actual

0:19:42.220 --> 0:19:46.960
<v S1>connection and you're not a deepfake. Um, that SpaceX is

0:19:46.960 --> 0:19:49.030
<v S1>going to absolutely heat up. The other one is going

0:19:49.030 --> 0:19:55.260
<v S1>to get crazy is, um, AI agents acting as humans? Um,

0:19:55.440 --> 0:19:59.940
<v S1>and calling APIs and everything, and basically IAM type companies

0:19:59.940 --> 0:20:03.690
<v S1>or identity type companies basically getting a handle on who's

0:20:03.690 --> 0:20:06.540
<v S1>human versus who's emulating human. Mhm.

0:20:07.630 --> 0:20:10.209
<v S2>Interesting. Yeah, I think that all makes a lot of

0:20:10.210 --> 0:20:12.730
<v S2>sense too. And it kind of plays into one of

0:20:12.730 --> 0:20:15.730
<v S2>the earlier posts you've written about that. I don't think

0:20:15.730 --> 0:20:18.730
<v S2>a lot of people have, uh, really, uh, done too

0:20:18.730 --> 0:20:21.070
<v S2>much with or like looked too far into. But it's

0:20:21.070 --> 0:20:24.790
<v S2>really you've got AI security, you've got security of AI,

0:20:24.820 --> 0:20:27.490
<v S2>you've got security for AI, but you don't have anybody

0:20:27.490 --> 0:20:31.300
<v S2>really talking about security from AI other than deep fakes.

0:20:31.300 --> 0:20:33.460
<v S2>But like, that's just like the tip of the iceberg

0:20:33.460 --> 0:20:35.590
<v S2>where this could go and what, you know, could be

0:20:35.590 --> 0:20:39.250
<v S2>launched against you or as a person or as a company. Um,

0:20:39.250 --> 0:20:43.000
<v S2>so I think that space, obviously it'll include misinformation and

0:20:43.000 --> 0:20:46.120
<v S2>disinformation kind of signals, but there's got to be more

0:20:46.119 --> 0:20:49.030
<v S2>than that. Like what else is being undertaken against me

0:20:49.030 --> 0:20:53.350
<v S2>from a personal like an OpSec standpoint, almost. Um, so

0:20:53.350 --> 0:20:55.209
<v S2>I think that space is going to just going to

0:20:55.420 --> 0:20:57.490
<v S2>as people get more, uh, attuned to this and they

0:20:57.490 --> 0:21:00.670
<v S2>get more paranoid, I think that's going to become, uh, um,

0:21:00.670 --> 0:21:04.330
<v S2>have a greater impact on the world of privacy than

0:21:04.330 --> 0:21:08.020
<v S2>privacy or regulation ever will, if that makes sense.

0:21:08.020 --> 0:21:12.129
<v S1>Yeah. Yeah, I think that's right. Yeah. One way I

0:21:12.130 --> 0:21:15.190
<v S1>like to think about that is like a, uh, and

0:21:15.190 --> 0:21:18.820
<v S1>this is a little bit in the future according to like, this, this, uh,

0:21:19.690 --> 0:21:25.210
<v S1>plan or idea that I have, but it's like a continuous, uh, defender.

0:21:25.480 --> 0:21:28.630
<v S1>So you essentially have like a digital assistant, uh, which

0:21:28.630 --> 0:21:30.820
<v S1>is what I call, like the permanent AI that you

0:21:30.820 --> 0:21:35.080
<v S1>have with you. And it's a continuous filter for everything

0:21:35.080 --> 0:21:38.770
<v S1>coming in to see you. Um, um, and it could

0:21:38.770 --> 0:21:42.879
<v S1>actually detect when you're being, like, overly flattered for the

0:21:42.880 --> 0:21:46.360
<v S1>purpose of manipulation because they're in sales. Yeah. Um, so

0:21:46.359 --> 0:21:48.550
<v S1>one's like, oh, yeah. You know, that outfit looks really

0:21:48.550 --> 0:21:50.290
<v S1>great on you. And by the way, I love that

0:21:50.290 --> 0:21:53.649
<v S1>talk that you gave. I especially love slide number seven

0:21:53.890 --> 0:21:57.970
<v S1>from your talk in Berlin. And, uh, and suddenly you're like,

0:21:57.970 --> 0:22:00.189
<v S1>oh wow. I just feel really cool. And then they

0:22:00.220 --> 0:22:02.860
<v S1>hit you with the sales pitch, right? Right. And so

0:22:02.859 --> 0:22:05.350
<v S1>you could have something pop up in your glasses or whatever.

0:22:05.350 --> 0:22:11.260
<v S1>It's like NLP detected manipulation, uh, expect inbound sales pitch

0:22:11.260 --> 0:22:14.380
<v S1>or something like that, right? Or if, um, you're getting like,

0:22:14.380 --> 0:22:18.250
<v S1>this really threatening language that's coming at you, it might

0:22:18.250 --> 0:22:22.449
<v S1>actually just rewrite that for you. Um, so, uh, one example,

0:22:22.450 --> 0:22:26.830
<v S1>I was talking with a friend named Joel the other night, and, um,

0:22:27.640 --> 0:22:31.060
<v S1>an example of this would be like, say, someone's been

0:22:31.060 --> 0:22:34.810
<v S1>traumatized by a partner and the partner is constantly emailing

0:22:34.810 --> 0:22:38.290
<v S1>them or texting them or something. And the the texts

0:22:38.290 --> 0:22:42.399
<v S1>are like they're life disrupting. It's like a paragraph of, like,

0:22:42.400 --> 0:22:47.739
<v S1>nastiness and narcissism and like gaslighting and whatever, under the

0:22:47.740 --> 0:22:50.739
<v S1>pretense that they're actually agreeing when to pick up the

0:22:50.740 --> 0:22:56.740
<v S1>kid with shared custody, your AI just rewrites it. Pick

0:22:56.740 --> 0:23:02.050
<v S1>up Jimmy at for. The whole paragraph is gone. It

0:23:02.050 --> 0:23:06.040
<v S1>just leaves the content so it doesn't. It strips out

0:23:06.040 --> 0:23:08.740
<v S1>all the triggers and everything. So I think that I

0:23:08.740 --> 0:23:11.710
<v S1>filtering thing is really powerful. Yeah.

0:23:11.830 --> 0:23:13.990
<v S2>Well that makes a lot of sense. And it kind

0:23:13.990 --> 0:23:16.900
<v S2>of plays into the whole like, uh, personal digital sovereignty

0:23:16.900 --> 0:23:19.000
<v S2>and like being able to control that aspect of you

0:23:19.000 --> 0:23:22.300
<v S2>online and offline. Uh, that makes a lot of sense.

0:23:22.660 --> 0:23:25.690
<v S1>Yeah. Yeah. And the other one that I think is

0:23:25.690 --> 0:23:30.320
<v S1>really interesting is like, um. We're going to have to

0:23:30.320 --> 0:23:35.480
<v S1>validate true content. This one I've not seen a space

0:23:35.480 --> 0:23:38.630
<v S1>really heat up yet with either, and maybe because it's

0:23:38.630 --> 0:23:44.960
<v S1>just so hard, but, um, essentially watermarking and validation like

0:23:44.960 --> 0:23:49.790
<v S1>trusted feeds so that um, for, for example, I love

0:23:49.790 --> 0:23:53.120
<v S1>UFC stuff. I'm all into fighting stuff. So when I

0:23:53.119 --> 0:23:56.780
<v S1>watch fight videos now, I'm having this really weird experience

0:23:56.780 --> 0:24:03.950
<v S1>where I'm having fight videos narrated by Joe Rogan. And

0:24:04.280 --> 0:24:07.640
<v S1>I'm like watching the fight video and I'm enjoying it

0:24:07.640 --> 0:24:11.930
<v S1>and I'm like three, four minutes in before I finally

0:24:11.930 --> 0:24:16.979
<v S1>catch some weird word. And then I realized for the

0:24:16.980 --> 0:24:23.690
<v S1>entire four minutes. Joe Rogan is a multi-millionaire. I am

0:24:23.690 --> 0:24:27.530
<v S1>on a very small YouTube channel. Um, he didn't come

0:24:27.530 --> 0:24:31.700
<v S1>to this channel and narrate this. Interesting. This person went

0:24:31.700 --> 0:24:35.810
<v S1>and collected all the clips and he just got the voice.

0:24:35.810 --> 0:24:39.950
<v S1>He wrote the script. Um, or maybe even I wrote

0:24:39.950 --> 0:24:43.909
<v S1>the script, but it's all being set in Joe Rogan's voice. Um,

0:24:43.910 --> 0:24:47.000
<v S1>which is fairly harmless. I mean, it makes the videos

0:24:47.000 --> 0:24:51.710
<v S1>quite nice, uh, quite enjoyable, but, like, what happens when

0:24:51.710 --> 0:24:55.700
<v S1>that's actually news instead, right? What happens when that's something

0:24:55.700 --> 0:24:59.720
<v S1>really important? Um, or if it's like a Joe probably

0:24:59.720 --> 0:25:02.810
<v S1>doesn't care. Maybe he does. I doubt he does. But

0:25:02.810 --> 0:25:06.709
<v S1>a lot of, uh, Hollywood celebrities actually would, and definitely

0:25:06.710 --> 0:25:11.510
<v S1>government officials really would. So, um, that thing should either

0:25:11.510 --> 0:25:17.300
<v S1>either have a fake symbol or lack an authentic symbol. Right?

0:25:17.300 --> 0:25:21.710
<v S1>Whereas the official symbol coming out of, uh, Rogan's feeds.

0:25:23.170 --> 0:25:26.619
<v S1>Should have the have the symbol right or lack the

0:25:26.619 --> 0:25:29.530
<v S1>fake symbol. That is an entire industry that's going to

0:25:29.530 --> 0:25:33.700
<v S1>be a multi-billion dollar industry. Um, yeah. And I'm sort

0:25:33.700 --> 0:25:35.260
<v S1>of just waiting for that to happen.

0:25:35.890 --> 0:25:38.410
<v S2>I think that's a really good concept too. And I've,

0:25:38.440 --> 0:25:40.600
<v S2>you know, I've talked to actually a few startups who

0:25:40.600 --> 0:25:44.110
<v S2>are doing that. Exactly. But they're they're trying to basically

0:25:44.109 --> 0:25:50.260
<v S2>create truth out of multiple sources for news reports. And

0:25:50.260 --> 0:25:52.630
<v S2>the goal of this, you give it to corporate communications

0:25:52.630 --> 0:25:56.170
<v S2>teams to let them decipher what's real and what's not.

0:25:56.170 --> 0:25:58.630
<v S2>Like who actually said this thing. And it really comes

0:25:58.630 --> 0:26:02.170
<v S2>down to using AI to go find, uh, the original

0:26:02.170 --> 0:26:04.659
<v S2>sources or the original, and the original shares the original

0:26:04.660 --> 0:26:07.000
<v S2>posts and then tie it back, kind of like to

0:26:07.000 --> 0:26:09.939
<v S2>information actors on the back end to say, oh, this,

0:26:09.940 --> 0:26:12.910
<v S2>this post that was widely shared by this person on

0:26:12.910 --> 0:26:17.859
<v S2>Facebook originated from a Russian disinformation mill. This person is

0:26:17.859 --> 0:26:19.869
<v S2>also associated with these 12 other things. It has a

0:26:19.869 --> 0:26:22.390
<v S2>high degree of chance that this is all fake. And

0:26:22.390 --> 0:26:23.979
<v S2>so then it gives you like kind of risk scores.

0:26:23.980 --> 0:26:27.460
<v S2>Then you can say corporate cops can say, we know

0:26:27.460 --> 0:26:29.830
<v S2>this is fake. Uh, next one, you know, so they

0:26:29.830 --> 0:26:32.230
<v S2>can they can move on and they can then have their,

0:26:32.230 --> 0:26:35.379
<v S2>you know, just kind of situational awareness per, per company

0:26:35.380 --> 0:26:37.600
<v S2>around that. But then that could that could easily extend

0:26:37.600 --> 0:26:41.290
<v S2>to like video contexts as well. Um, but it's it's

0:26:41.290 --> 0:26:44.230
<v S2>fascinating a time to be in this space just because it's,

0:26:44.619 --> 0:26:48.820
<v S2>I think the, the, uh, technology hype cycle and the

0:26:48.820 --> 0:26:52.600
<v S2>curve has it occurred it occurred like every other, you know,

0:26:52.600 --> 0:26:55.360
<v S2>platform we've seen with like, mobile and cloud, which might

0:26:55.359 --> 0:26:57.280
<v S2>have taken ten years. But this a lot of this

0:26:57.280 --> 0:26:59.500
<v S2>has happened in like 18 months. And it's gone through

0:26:59.500 --> 0:27:02.560
<v S2>a couple iterations of that loop. Um, so it's just

0:27:02.560 --> 0:27:04.510
<v S2>so hard to keep up with it all, uh, and

0:27:04.510 --> 0:27:06.070
<v S2>know what you're actually looking at.

0:27:06.550 --> 0:27:11.109
<v S1>Yeah. I don't think it's even close to where it's going.

0:27:11.109 --> 0:27:14.649
<v S1>It's it's not even close. I mean, I'm very much

0:27:14.650 --> 0:27:19.810
<v S1>I'm a self-described, uh, very pro AI, but I feel

0:27:19.810 --> 0:27:24.459
<v S1>like I see this really clearly, and we're barely getting started. Um,

0:27:24.460 --> 0:27:28.330
<v S1>so when I hear about AI hype and there, you know,

0:27:28.330 --> 0:27:33.600
<v S1>there's some places where, uh. People got over their skis

0:27:33.600 --> 0:27:36.360
<v S1>and they got overly excited about a very small thing,

0:27:36.359 --> 0:27:41.379
<v S1>like a giant company that generates. I don't know. Uh,

0:27:41.380 --> 0:27:44.770
<v S1>Midjourney images and sells them or something. That would be

0:27:44.770 --> 0:27:49.090
<v S1>more crypto like, or more NFT like, where it's way

0:27:49.090 --> 0:27:53.920
<v S1>over inflated for what it is, right? Right. Whereas most

0:27:53.920 --> 0:27:56.980
<v S1>of I, especially the stuff we've just been talking about,

0:27:56.980 --> 0:28:00.670
<v S1>hasn't even started yet. And it's not even possible without AI.

0:28:01.240 --> 0:28:04.030
<v S1>The hype cycle is not even. It's not that it

0:28:04.030 --> 0:28:06.670
<v S1>hasn't got to the top. It hasn't even started yet.

0:28:07.000 --> 0:28:10.480
<v S1>And that's not counting for like the real, the real

0:28:10.480 --> 0:28:15.820
<v S1>core stuff where all of your entire corporate data is

0:28:15.820 --> 0:28:20.460
<v S1>inside of a data lake. That I can see. And

0:28:20.460 --> 0:28:22.890
<v S1>now you could basically ask any question and take any

0:28:22.890 --> 0:28:26.040
<v S1>action as a result of that, which is kind of

0:28:26.040 --> 0:28:29.100
<v S1>the long term thing. And people haven't even really started

0:28:29.100 --> 0:28:33.179
<v S1>doing that because of the limitations of context. Windows and Rag.

0:28:33.180 --> 0:28:36.750
<v S1>It's like that's all still building up. There's there's a

0:28:36.750 --> 0:28:41.160
<v S1>few hype phases that are kind of really small and inconsequential.

0:28:41.160 --> 0:28:45.690
<v S1>But the ultimate S-curve of AI, I think, is just starting.

0:28:46.620 --> 0:28:50.070
<v S2>Yeah. No, I totally agree. And I think, um, you know,

0:28:50.070 --> 0:28:52.080
<v S2>we it's one of those things you can't even imagine

0:28:52.080 --> 0:28:55.560
<v S2>it because we didn't even imagine generally available. I on

0:28:55.560 --> 0:28:58.230
<v S2>your phone like 18 months ago, at least the average

0:28:58.230 --> 0:29:02.280
<v S2>person didn't. Yeah. Um, and now the average tech person, like,

0:29:02.280 --> 0:29:05.489
<v S2>uses it multiple times a week. Um, and even the

0:29:05.490 --> 0:29:08.640
<v S2>average non tech person is starting to at least know

0:29:08.640 --> 0:29:11.250
<v S2>what it is in general. Um, which is, which is

0:29:11.250 --> 0:29:14.220
<v S2>pretty impressive. Um, but yeah, we're just kind of scratching

0:29:14.220 --> 0:29:17.820
<v S2>the surface on what's, what's possible there, which I think

0:29:18.240 --> 0:29:20.610
<v S2>it's going to take kind of like a step function to,

0:29:20.640 --> 0:29:24.420
<v S2>to get that next level of AI security kind of realm. Um,

0:29:24.420 --> 0:29:27.030
<v S2>you know, every investor I talked to has that as

0:29:27.030 --> 0:29:28.890
<v S2>part of their core thesis. Now they they have to

0:29:28.890 --> 0:29:33.300
<v S2>do AI, some variation of security because nobody knows where

0:29:33.300 --> 0:29:35.100
<v S2>the rocket ships going, but they know it's a rocket ship.

0:29:35.100 --> 0:29:38.220
<v S2>So they, they want to latch on in some way. Yeah. Um,

0:29:38.700 --> 0:29:41.010
<v S2>and uh, it's, it is going to make some really

0:29:41.010 --> 0:29:44.400
<v S2>cool stuff possible that otherwise wouldn't be. And I think, uh,

0:29:44.400 --> 0:29:46.770
<v S2>I also would not be surprised in terms of trends

0:29:46.770 --> 0:29:49.020
<v S2>to see like the, you know, the 1 to 2

0:29:49.020 --> 0:29:53.700
<v S2>person security unicorn company. Uh, yes. Like they oh, you

0:29:53.700 --> 0:29:56.580
<v S2>can just build out your own complete attack surface management

0:29:56.580 --> 0:30:02.100
<v S2>platform using AI and self-hosting it or, um, and as

0:30:02.100 --> 0:30:04.560
<v S2>long as you can, uh, then learn the sales motions

0:30:04.560 --> 0:30:06.570
<v S2>and get that going, you can get bootstrapped, you can

0:30:06.570 --> 0:30:09.510
<v S2>get going, you can get funding, um, or may not

0:30:09.510 --> 0:30:11.910
<v S2>even need funding. So I think like it's going to be, um,

0:30:12.540 --> 0:30:14.940
<v S2>a pretty open world. Uh, which would be better, I

0:30:14.940 --> 0:30:17.760
<v S2>think for like, you know, competition would be better for

0:30:17.760 --> 0:30:21.900
<v S2>practitioners eventually. Um, because all that stuff is constantly expanding

0:30:21.900 --> 0:30:24.900
<v S2>and collapsing in the market, like, because security is not

0:30:24.900 --> 0:30:28.080
<v S2>a winner take all market at all. Like from a

0:30:28.080 --> 0:30:32.790
<v S2>product standpoint, it's a many, many people can be winners

0:30:32.790 --> 0:30:36.030
<v S2>in this space as well. Um, even if some of

0:30:36.030 --> 0:30:37.890
<v S2>the players are trying to act in a zero sum way,

0:30:37.890 --> 0:30:42.600
<v S2>like there's there's not a singular like dominant player across

0:30:42.600 --> 0:30:47.700
<v S2>all fields. There's like pockets of dominance across multiple fields. Um,

0:30:47.700 --> 0:30:49.890
<v S2>so I think it's just going to make that bubble

0:30:49.890 --> 0:30:53.160
<v S2>even bigger and maybe, maybe more challenging for practitioners for

0:30:53.160 --> 0:30:55.440
<v S2>a while. I hope I can help with that with security,

0:30:55.440 --> 0:30:57.630
<v S2>like make a little more sense of that. But, um,

0:30:57.960 --> 0:30:59.220
<v S2>it's going to be interesting.

0:31:00.410 --> 0:31:03.140
<v S1>Yeah, I think you're absolutely right.

0:31:03.170 --> 0:31:05.840
<v S2>There's the there's the big trend of, uh, you know,

0:31:05.840 --> 0:31:10.430
<v S2>personal digital sovereignty, like that kind of concept of being

0:31:10.430 --> 0:31:13.340
<v S2>security secure from AI and all the kind of attacks

0:31:13.340 --> 0:31:16.550
<v S2>on you as well. Um, there's going to have to

0:31:16.550 --> 0:31:21.290
<v S2>be some more iterations around, uh, improvements in AI security

0:31:21.290 --> 0:31:23.300
<v S2>in general for it to be like the next iteration

0:31:23.300 --> 0:31:26.420
<v S2>for like for to be beyond just like I think

0:31:26.420 --> 0:31:29.000
<v S2>a lot of what we've seen right now is just been, uh,

0:31:29.000 --> 0:31:33.530
<v S2>adding AI to existing capabilities as opposed to AI creating

0:31:33.530 --> 0:31:37.070
<v S2>the new capability. Uh, so we're not quite there around

0:31:37.070 --> 0:31:39.890
<v S2>that curve yet. And then once whoever makes that next

0:31:39.890 --> 0:31:44.570
<v S2>step is going to, like, do really well. Um, but

0:31:44.570 --> 0:31:47.480
<v S2>it's obviously there's, uh, there's a context and there's a

0:31:47.480 --> 0:31:50.660
<v S2>data problem that has just got just expanded now with the,

0:31:50.660 --> 0:31:56.120
<v S2>with AI. Um, because more, more AI means more cloud workloads,

0:31:56.120 --> 0:31:59.180
<v S2>which means more tech service means more configuration mismanagement. All

0:31:59.180 --> 0:32:04.070
<v S2>these things are just have have expanded. Um, like you said, I, uh,

0:32:04.070 --> 0:32:09.890
<v S2>exaggerates the thing or highlights the thing. It isn't the thing. Yeah.

0:32:11.540 --> 0:32:15.620
<v S1>Yeah, I like what you said about a single person

0:32:15.620 --> 0:32:20.120
<v S1>company launching and getting really big because you mentioned like, oh,

0:32:20.240 --> 0:32:22.820
<v S1>as long as they can learn the sales motion well,

0:32:22.820 --> 0:32:24.680
<v S1>what if they don't have to because they just hire

0:32:24.680 --> 0:32:28.580
<v S1>an AI company? Yeah, that's automated sales. Right. And then

0:32:28.580 --> 0:32:32.180
<v S1>you hire a company that's automated support and then you've

0:32:32.180 --> 0:32:36.650
<v S1>got automated like uh, EA's. So you've got like your

0:32:36.650 --> 0:32:40.520
<v S1>personal assistants and basically all of your company infrastructure is

0:32:40.520 --> 0:32:46.380
<v S1>kind of mostly outsourced. Service companies that are AI based.

0:32:46.380 --> 0:32:50.190
<v S1>And then you basically have, like yourself, a co-founder and

0:32:50.190 --> 0:32:53.790
<v S1>maybe 1 or 2 people. Yeah. And maybe it's just you.

0:32:53.790 --> 0:32:56.490
<v S1>And like one person I would say is probably one

0:32:56.490 --> 0:33:00.180
<v S1>of the smallest versions. I'm sure there will be actual

0:33:00.180 --> 0:33:04.950
<v S1>single founders who make pretty big companies as well. Um,

0:33:04.950 --> 0:33:08.700
<v S1>Altman's been talking about that as well as the first unicorn.

0:33:08.790 --> 0:33:13.770
<v S1>One person. Yeah. So I think that's very possible. Um.

0:33:16.790 --> 0:33:23.870
<v S1>What about the balance of private equity VC versus startups like.

0:33:25.240 --> 0:33:29.830
<v S1>I feel like this last down period. Oh, by the way,

0:33:29.830 --> 0:33:33.850
<v S1>what are the years for these? These periods? 21 was

0:33:33.850 --> 0:33:35.710
<v S1>that the start of the down?

0:33:36.100 --> 0:33:40.810
<v S2>So 22 was like the start of the down basically. Okay. Yeah.

0:33:41.110 --> 0:33:45.310
<v S1>22 we started the down 23 was down and 24

0:33:45.340 --> 0:33:46.930
<v S1>were starting to see the uptick.

0:33:47.020 --> 0:33:50.350
<v S2>But yeah a bit of a rebound. Um, and um,

0:33:50.530 --> 0:33:54.250
<v S2>you know 2021 late 21 had a few signs of distress,

0:33:54.250 --> 0:33:56.410
<v S2>but not like no one thought the fed would raise

0:33:56.410 --> 0:33:59.590
<v S2>the rates so high. Yeah. Or keep on raising it.

0:33:59.590 --> 0:34:02.739
<v S2>And like the so that it just kind of had

0:34:02.740 --> 0:34:05.290
<v S2>like a an iterative effect there and just like kind

0:34:05.290 --> 0:34:06.730
<v S2>of kept making things worse.

0:34:07.300 --> 0:34:12.910
<v S1>Right. So 22 and 23, uh, private equity did really

0:34:12.910 --> 0:34:15.940
<v S1>well because they're swooping in, grabbing things. Right?

0:34:16.210 --> 0:34:16.810
<v S3>Yep.

0:34:16.810 --> 0:34:20.110
<v S1>And VCs did not do so well. Startups didn't do

0:34:20.110 --> 0:34:23.799
<v S1>so well. And now there's a whole bunch of companies

0:34:23.800 --> 0:34:27.070
<v S1>that are kind of sitting out there. They've been growing

0:34:27.070 --> 0:34:31.150
<v S1>slowly and they're kind of large and bloated. Mhm. I'm

0:34:31.150 --> 0:34:33.640
<v S1>sure you've seen a bunch of these and they're just

0:34:33.640 --> 0:34:36.400
<v S1>kind of like stagnating. And every time they have to

0:34:36.400 --> 0:34:39.250
<v S1>go to investors, investors are like tired of hearing from them.

0:34:39.250 --> 0:34:42.580
<v S1>And they're like yep you got to do something like

0:34:42.580 --> 0:34:45.580
<v S1>I've heard the same thing. You're not growing. It's not

0:34:45.580 --> 0:34:50.920
<v S1>super exciting. Um, what does this look like as things

0:34:50.920 --> 0:34:55.210
<v S1>start to boom now? And I think it's going to accelerate,

0:34:55.210 --> 0:34:58.900
<v S1>but who knows. But as it starts to boom, who

0:34:58.900 --> 0:35:02.890
<v S1>starts to benefit? Uh, I guess the private equity benefits,

0:35:02.890 --> 0:35:06.160
<v S1>if the stuff they bought cheap starts to be worth more,

0:35:06.190 --> 0:35:10.239
<v S1>that's pretty obvious. But I guess VC and startups are

0:35:10.239 --> 0:35:13.510
<v S1>the main benefits if things start going up. Is that right?

0:35:14.030 --> 0:35:16.790
<v S2>Yeah. I mean that's that's exactly right. So like, if,

0:35:16.790 --> 0:35:18.680
<v S2>you know, if the bets the P made at the

0:35:18.680 --> 0:35:21.200
<v S2>acquisitions and like the takeovers they made and they and

0:35:21.200 --> 0:35:23.569
<v S2>they and by the way, P has been very good

0:35:23.570 --> 0:35:27.350
<v S2>at buying companies and making them super operationally efficient for

0:35:27.350 --> 0:35:29.090
<v S2>a couple of years, getting a return on their investment

0:35:29.090 --> 0:35:31.969
<v S2>and selling it. Uh, they just had a much better

0:35:31.969 --> 0:35:33.980
<v S2>time doing that, you know, the past couple of years

0:35:33.980 --> 0:35:37.339
<v S2>than they had before. Um, you know, VCs, a lot

0:35:37.340 --> 0:35:39.980
<v S2>of when it comes to, uh, venture investing, you know,

0:35:39.980 --> 0:35:43.310
<v S2>most investments don't make money at all. Uh, and typically,

0:35:43.310 --> 0:35:45.530
<v S2>only a very small portion of what you invest in

0:35:45.530 --> 0:35:48.860
<v S2>actually makes up 80 or 90% of the the value

0:35:48.860 --> 0:35:53.180
<v S2>that you get back. Um, and so, uh, some did

0:35:53.180 --> 0:35:55.730
<v S2>really well, uh, at the time and some and, but

0:35:55.730 --> 0:35:57.980
<v S2>a lot of them did not. So like they, they

0:35:57.980 --> 0:36:01.940
<v S2>struggled their companies shut down, uh, funds shut down. Uh,

0:36:01.940 --> 0:36:05.690
<v S2>they didn't return any money to their investor base. Um,

0:36:05.690 --> 0:36:07.489
<v S2>so that's all bad. And that makes it harder to

0:36:07.489 --> 0:36:09.470
<v S2>raise more money next time, or get people to commit

0:36:09.469 --> 0:36:12.380
<v S2>to give you money to go invest next time. Um,

0:36:12.710 --> 0:36:17.210
<v S2>you know, there's a couple carry overs that will be constant. Um,

0:36:17.210 --> 0:36:21.049
<v S2>we're we're too close to when operational efficiency was the

0:36:21.050 --> 0:36:24.050
<v S2>king to go away from it now. So it's like, yeah,

0:36:24.050 --> 0:36:25.670
<v S2>we might be bouncing back, but you got to be

0:36:25.670 --> 0:36:29.120
<v S2>a lean bounce back. You cannot be overinflated. I agree you,

0:36:29.360 --> 0:36:33.080
<v S2>you never hire at 200, you know, percent or like bro,

0:36:33.110 --> 0:36:35.090
<v S2>you know 1,000%. Like the memory.

0:36:35.090 --> 0:36:36.140
<v S1>Is too fresh.

0:36:36.350 --> 0:36:37.969
<v S2>Yeah, it's too fresh. Like, I think we have to

0:36:37.969 --> 0:36:40.250
<v S2>have another 4 or 5 years of, like, a bull

0:36:40.250 --> 0:36:42.800
<v S2>run for them to say, yeah, forget that. Let's just

0:36:42.800 --> 0:36:45.560
<v S2>go big again and like, uh, but you also have

0:36:45.560 --> 0:36:48.650
<v S2>to remember at the same time, the goal posts have

0:36:48.650 --> 0:36:51.860
<v S2>been significantly moved on both ends of the spectrum. So

0:36:51.860 --> 0:36:55.940
<v S2>now you have to have less people be operationally efficient

0:36:55.940 --> 0:36:58.670
<v S2>and burn less cash. So that's bottom in the spectrum.

0:36:58.670 --> 0:37:00.920
<v S2>At the same end, if you want to go public,

0:37:00.920 --> 0:37:03.109
<v S2>it's a lot more of a higher barrier now. So

0:37:03.110 --> 0:37:05.850
<v S2>it's not you can't just be a $1, a 1

0:37:05.850 --> 0:37:10.700
<v S2>billion uh, valuation. You need to be three, $4 billion valuation.

0:37:10.700 --> 0:37:12.950
<v S2>You can't just be a $100 million in RR, which

0:37:12.950 --> 0:37:15.980
<v S2>used to be the magic number to make companies go public,

0:37:15.980 --> 0:37:18.469
<v S2>or at least start the roadshow. Now you need to

0:37:18.469 --> 0:37:21.469
<v S2>be 200 or 300 million. And so like the pole

0:37:21.469 --> 0:37:23.930
<v S2>or like the, the the narrowing of the pyramid is

0:37:23.930 --> 0:37:26.630
<v S2>like gotten like even tighter now. So you have a

0:37:26.630 --> 0:37:31.190
<v S2>lot more competition, which means sink or swim is like

0:37:31.190 --> 0:37:34.310
<v S2>a lot more aggressive. Um, and so that's why everyone

0:37:34.310 --> 0:37:37.160
<v S2>has kind of been decrying, oh, platform ization is finally

0:37:37.160 --> 0:37:40.129
<v S2>happening in cybersecurity. Like we're finally going to have less vendors,

0:37:40.130 --> 0:37:42.859
<v S2>which is will never, ever be true. Um, it'll just

0:37:42.860 --> 0:37:47.569
<v S2>go through pockets of of consolidation. Always like to explain

0:37:47.570 --> 0:37:50.300
<v S2>it as, uh, it's more of an accordion like parts

0:37:50.300 --> 0:37:52.880
<v S2>of it are open and like expanding and parts of

0:37:52.880 --> 0:37:55.370
<v S2>it are closed and contracting, but you're still like you're

0:37:55.370 --> 0:37:59.330
<v S2>making music, but you just like but it's not going

0:37:59.330 --> 0:38:02.150
<v S2>to look like, you know, one company, Palo Alto, is

0:38:02.150 --> 0:38:03.770
<v S2>not going to rule them all, even if you want

0:38:03.770 --> 0:38:07.880
<v S2>them to, um, tomorrow and like so this they will

0:38:07.880 --> 0:38:11.090
<v S2>never be that one. True. Uh, so it's now become

0:38:11.090 --> 0:38:15.859
<v S2>harder to, to do that. Um, and then all the while, like,

0:38:15.860 --> 0:38:17.239
<v S2>private equity is still going to have a pretty good

0:38:17.239 --> 0:38:18.620
<v S2>run for the next 3 or 4 years, because a

0:38:18.620 --> 0:38:21.610
<v S2>lot of those companies who raise money in 2020 or

0:38:21.610 --> 0:38:25.010
<v S2>2019 or even 2021, some of them are still just

0:38:25.010 --> 0:38:27.350
<v S2>limping on, and they may have another a few more

0:38:27.350 --> 0:38:30.530
<v S2>years of runway before they need to go private. Like

0:38:30.530 --> 0:38:32.900
<v S2>they may have raised too much money, like some of

0:38:32.900 --> 0:38:36.020
<v S2>these companies raised close or more than $1 billion in

0:38:36.020 --> 0:38:39.620
<v S2>funding may not have anywhere else to go. Uh, and

0:38:39.620 --> 0:38:41.660
<v S2>less like a Cisco or like a, you know, a

0:38:41.660 --> 0:38:45.020
<v S2>Microsoft buys them, uh, so either they'll die a slow

0:38:45.020 --> 0:38:47.780
<v S2>death or they'll go take, you know, they'll private equity

0:38:47.780 --> 0:38:50.690
<v S2>or go shape them up and, you know, possibly dismantle them,

0:38:50.690 --> 0:38:54.860
<v S2>possibly resell them. Um, so there's a lot of more

0:38:54.860 --> 0:38:57.680
<v S2>complexity now, I think, than there used to be, uh,

0:38:57.680 --> 0:38:59.779
<v S2>in terms of, like, making a go of it.

0:39:01.120 --> 0:39:06.879
<v S1>Yeah. Interesting. I really like your accordion thing. I think

0:39:06.880 --> 0:39:11.140
<v S1>that makes a lot of sense. I do think platform

0:39:11.140 --> 0:39:16.880
<v S1>migration is absolutely a thing, I think. That's like the

0:39:16.880 --> 0:39:19.160
<v S1>permanent home for anything that I used to have this

0:39:19.160 --> 0:39:27.920
<v S1>thing where it was like, idea. Um, then, um, application, then, um,

0:39:28.550 --> 0:39:32.719
<v S1>operating system. So it's like things move through that phase

0:39:32.719 --> 0:39:35.630
<v S1>where it's like, uh, it's like a web app or

0:39:35.630 --> 0:39:38.089
<v S1>a little utility or something, and then it gets brought

0:39:38.090 --> 0:39:41.390
<v S1>into the OS and it's kind of absorbed the the

0:39:41.390 --> 0:39:45.380
<v S1>knowledge is now so known and understood that it just

0:39:45.380 --> 0:39:46.940
<v S1>becomes part of the furniture.

0:39:47.450 --> 0:39:48.290
<v S3>Right?

0:39:48.440 --> 0:39:51.890
<v S1>Um, but especially with AI. So I think one of

0:39:51.890 --> 0:39:55.250
<v S1>the biggest things happening with AI is the fact that

0:39:55.250 --> 0:39:58.370
<v S1>it's so much easier to start a company and actually

0:39:58.370 --> 0:40:02.299
<v S1>be effective, kind of going back to the whole, um,

0:40:02.300 --> 0:40:05.719
<v S1>unicorn thing. But forget about the unicorns. Like I'm about

0:40:05.719 --> 0:40:10.010
<v S1>to launch a SaaS myself and it's just me. And

0:40:10.010 --> 0:40:11.390
<v S1>like a dev.

0:40:11.860 --> 0:40:12.610
<v S3>Nice.

0:40:12.610 --> 0:40:15.340
<v S1>And it's a full size, right? It's a full size.

0:40:15.340 --> 0:40:17.870
<v S1>It's like end to end like it. And there's a

0:40:17.870 --> 0:40:21.100
<v S1>million people like me who are doing this because of AI.

0:40:21.219 --> 0:40:24.910
<v S1>So that is the accordion, but the bottom of the

0:40:24.910 --> 0:40:29.920
<v S1>accordion or whatever. The new ideas, the new companies, the

0:40:29.920 --> 0:40:33.430
<v S1>new sauces that are out there for the platforms to

0:40:33.430 --> 0:40:37.180
<v S1>pick and choose which features they want via acqui hire.

0:40:38.050 --> 0:40:38.500
<v S3>Is.

0:40:38.500 --> 0:40:42.130
<v S1>Going to be much larger because I think the barrier

0:40:42.130 --> 0:40:45.219
<v S1>to get in to be a startup person five years

0:40:45.219 --> 0:40:47.200
<v S1>ago is way higher than it's going to be in

0:40:47.200 --> 0:40:48.100
<v S1>two years from now.

0:40:49.190 --> 0:40:52.339
<v S2>Yeah, I think that's true. And I think, um, I

0:40:52.340 --> 0:40:54.590
<v S2>agree with everything you said too. And I think, you know,

0:40:54.590 --> 0:40:57.200
<v S2>the concept of bootstrapping or just doing it on your own,

0:40:57.200 --> 0:41:00.890
<v S2>with your with your friends and family support, uh, is

0:41:00.890 --> 0:41:03.980
<v S2>going to become a lot more realistic, um, than it

0:41:03.980 --> 0:41:05.690
<v S2>used to be. Like, you see this in other industries,

0:41:05.690 --> 0:41:08.000
<v S2>but you don't really see it much in cybersecurity. Like

0:41:08.000 --> 0:41:09.920
<v S2>maybe like think of, like canaries, like kind of the

0:41:09.920 --> 0:41:12.620
<v S2>only one I could think of that's, uh, truly like,

0:41:12.620 --> 0:41:16.109
<v S2>kind of bootstrapped, but like most. Uh, you know, it's

0:41:16.110 --> 0:41:19.950
<v S2>hard to get behind that model. Um, and I think,

0:41:19.950 --> 0:41:21.719
<v S2>you know, a lot of things that I've been trying

0:41:21.719 --> 0:41:24.569
<v S2>to also help people kind of realize the return on

0:41:24.570 --> 0:41:27.600
<v S2>security is that, like, you know, understanding, like who the

0:41:27.600 --> 0:41:31.890
<v S2>investments or investors are behind a given, you know, company

0:41:31.890 --> 0:41:34.410
<v S2>you can kind of see, like repeatability and like track

0:41:34.410 --> 0:41:37.710
<v S2>records of success or like playbooks they use often. And

0:41:37.710 --> 0:41:39.900
<v S2>you kind of say like, okay, I know that it's

0:41:39.900 --> 0:41:42.570
<v S2>going to, you know, backed by this company, their goal

0:41:42.570 --> 0:41:46.020
<v S2>is to be acquired by a bigger company. That means

0:41:46.020 --> 0:41:48.630
<v S2>if I invest in this now, it may not be

0:41:48.630 --> 0:41:51.030
<v S2>here in four years, three years or whatever, whatever contract

0:41:51.030 --> 0:41:52.590
<v S2>they're trying to get me to sign. So like, I

0:41:52.590 --> 0:41:55.290
<v S2>kind of need to think about that, um, based on

0:41:55.290 --> 0:41:59.440
<v S2>kind of where it's come from. Um. But it's. I

0:41:59.440 --> 0:42:01.570
<v S2>agree that it'll be easier to get in a startup,

0:42:01.570 --> 0:42:03.340
<v S2>it'll be easier to get a lot more traction and

0:42:03.340 --> 0:42:06.550
<v S2>actually get paying customers, especially if you then go back

0:42:06.550 --> 0:42:08.859
<v S2>to like using AI to enhance what you know or like,

0:42:08.860 --> 0:42:11.080
<v S2>fill in the gaps of what you can't, you know,

0:42:11.140 --> 0:42:14.049
<v S2>do where you couldn't have done before is easily like

0:42:14.050 --> 0:42:16.240
<v S2>it's yeah, it's it's going to it's going to skyrocket.

0:42:17.690 --> 0:42:23.089
<v S1>Yeah, I'm really excited for it. Well, um, this has

0:42:23.090 --> 0:42:26.540
<v S1>been fantastic. So tell us, um, in addition to your

0:42:26.540 --> 0:42:31.279
<v S1>return on security, which is the newsletter and the overall brand, uh,

0:42:31.280 --> 0:42:33.259
<v S1>what are what other stuff do you have brewing? Do

0:42:33.260 --> 0:42:37.009
<v S1>you have like, uh, reports coming out, new research, like products,

0:42:37.010 --> 0:42:39.049
<v S1>anything we should be aware of?

0:42:39.590 --> 0:42:40.250
<v S3>Yeah, I've been.

0:42:40.250 --> 0:42:42.350
<v S2>Trying to, uh, write a bit more on the blog

0:42:42.350 --> 0:42:43.880
<v S2>this year. Try to just try to get more of

0:42:43.880 --> 0:42:46.700
<v S2>my thoughts out there as possible. Um, I've kind of

0:42:46.700 --> 0:42:48.980
<v S2>gone back to doing kind of monthly, and I'm going

0:42:48.980 --> 0:42:51.260
<v S2>to be releasing a quarterly roundups as well, because I

0:42:51.260 --> 0:42:54.200
<v S2>want to be able to track these things over time. Um, like,

0:42:54.200 --> 0:42:57.140
<v S2>I'm big on kind of showing like look backs and saying, like,

0:42:57.140 --> 0:42:58.640
<v S2>this is where we were last year this time, or

0:42:58.640 --> 0:43:00.920
<v S2>this is where we were last month this time to

0:43:00.920 --> 0:43:04.190
<v S2>kind of help understand trends. Um, so I'm just kind

0:43:04.190 --> 0:43:06.890
<v S2>of really increasing the output of because I want to

0:43:06.890 --> 0:43:09.650
<v S2>be a true resource. I want to be like the 538, uh,

0:43:09.650 --> 0:43:11.089
<v S2>I want people to be able to use it and

0:43:11.090 --> 0:43:16.280
<v S2>actually consume it. And, um, I also plan to do

0:43:16.280 --> 0:43:18.739
<v S2>I'd like to open source the data and have somebody,

0:43:18.739 --> 0:43:20.930
<v S2>some data science people say, like, all right, tell me

0:43:20.930 --> 0:43:22.430
<v S2>what you can come up with. Like what? What is

0:43:22.430 --> 0:43:25.700
<v S2>interesting like either, you know, run some models on it,

0:43:25.700 --> 0:43:28.580
<v S2>run something and let's let's see what, what ideas you

0:43:28.580 --> 0:43:32.270
<v S2>come up with, um, and what kind of trends you

0:43:32.270 --> 0:43:34.940
<v S2>can uncover from a data science perspective. Um, so I

0:43:34.940 --> 0:43:36.320
<v S2>think that's pretty fun.

0:43:36.320 --> 0:43:36.710
<v S3>Yeah.

0:43:36.710 --> 0:43:39.620
<v S1>Um, yeah. Yeah, I want to mention that that that's

0:43:39.620 --> 0:43:43.250
<v S1>something that's super awesome about what you do. You have

0:43:43.250 --> 0:43:46.190
<v S1>the data. You've been collecting this data in a very

0:43:46.190 --> 0:43:53.580
<v S1>sort of manicured and, um. Detailed way in rigorous way

0:43:53.580 --> 0:43:55.500
<v S1>this whole time. So you have this data set and

0:43:55.500 --> 0:43:59.250
<v S1>you put out different products around it. Um, I love

0:43:59.250 --> 0:44:03.050
<v S1>the idea of when I go to the site. Um,

0:44:03.050 --> 0:44:05.810
<v S1>I would love like a dashboard that is very much

0:44:05.810 --> 0:44:10.010
<v S1>like FiveThirtyEight, which FiveThirtyEight really only spins up for, like

0:44:10.010 --> 0:44:13.160
<v S1>big elections. I'm sure it's getting big right now, but like,

0:44:13.160 --> 0:44:18.070
<v S1>I would just like to. Get quick narratives like, remember

0:44:18.070 --> 0:44:21.100
<v S1>the thing we talked about, okay, what was 2021? What

0:44:21.100 --> 0:44:25.600
<v S1>was 2022? So what I would really love is like,

0:44:25.690 --> 0:44:29.890
<v S1>just explain the whole thing. Starting five years before Covid,

0:44:29.890 --> 0:44:32.710
<v S1>the thing that you did, you said, look, we have

0:44:32.710 --> 0:44:35.890
<v S1>this build up of general economics. Then we had Covid

0:44:35.890 --> 0:44:38.080
<v S1>happen or whatever. If I could get that in a

0:44:38.080 --> 0:44:42.910
<v S1>paragraph or one sentence or a full page, imagine dragging

0:44:42.910 --> 0:44:44.860
<v S1>this kind of related to the thing I'm getting ready

0:44:44.860 --> 0:44:50.080
<v S1>to release. Imagine dragging your explanation from one sentence of

0:44:50.080 --> 0:44:53.560
<v S1>15 words all the way to a full page of analysis,

0:44:53.560 --> 0:44:57.219
<v S1>but it's exactly the same thing that you described, right?

0:44:57.219 --> 0:45:02.770
<v S1>So it's like, give me the the TLDR of the

0:45:02.770 --> 0:45:07.000
<v S1>entire security space. Yeah. Um, and then you have different

0:45:07.000 --> 0:45:09.879
<v S1>graphs there, right? It's like, show me VC performance. Show

0:45:09.880 --> 0:45:12.520
<v S1>me the number of startups, show me like whatever. And

0:45:12.520 --> 0:45:14.470
<v S1>I feel like that's what I'm getting from you in

0:45:14.469 --> 0:45:17.710
<v S1>your newsletters. So I feel like that could be like.

0:45:18.430 --> 0:45:21.670
<v S1>Definitely like a future direction for you with like, this

0:45:21.670 --> 0:45:25.570
<v S1>really rich front page dashboard. And it's just like it's

0:45:25.570 --> 0:45:29.930
<v S1>like a. It's like a universal dashboard to just state

0:45:29.930 --> 0:45:30.830
<v S1>of the Union.

0:45:31.250 --> 0:45:32.600
<v S3>Yeah, I love that idea.

0:45:34.110 --> 0:45:36.149
<v S2>I love that idea too, because I kind of like,

0:45:36.150 --> 0:45:37.530
<v S2>I think about what I do is like, almost like

0:45:37.530 --> 0:45:40.110
<v S2>a public utility. I'm like, I want you to use it.

0:45:40.110 --> 0:45:41.669
<v S1>Like it is. It absolutely is.

0:45:41.670 --> 0:45:43.680
<v S3>Already I love it, I love it.

0:45:43.680 --> 0:45:45.960
<v S2>That's it's I love that idea too. I'm definitely gonna

0:45:45.960 --> 0:45:47.520
<v S2>noodle on that one and try to figure out how

0:45:47.520 --> 0:45:51.540
<v S2>to how to do it. Because I want to share more. I,

0:45:51.540 --> 0:45:54.120
<v S2>I've made so many like great like connections, and I've

0:45:54.120 --> 0:45:55.710
<v S2>learned so much just by doing this. And so I

0:45:55.710 --> 0:45:56.759
<v S2>want to be able to like kind of share it

0:45:56.760 --> 0:45:58.049
<v S2>back as much as possible.

0:45:58.380 --> 0:46:01.590
<v S1>Yeah. Well, I encourage everyone to go check you out.

0:46:01.590 --> 0:46:06.270
<v S1>It's our return on security. Absolutely. The the best and

0:46:06.270 --> 0:46:09.870
<v S1>really the only newsletter in that space. Just absolutely crushing it.

0:46:09.870 --> 0:46:12.390
<v S1>Can't wait to see what you do next. And thanks

0:46:12.390 --> 0:46:13.140
<v S1>for coming on.

0:46:13.530 --> 0:46:15.390
<v S2>Awesome. Thanks so much for having me. It was great talk.

0:46:15.390 --> 0:46:15.870
<v S3>All right.

0:46:15.870 --> 0:46:17.310
<v S1>Take care. Thanks.