>>on >>the globe. It's the Cube with digital coverage of AWS reinvent 2020 sponsored by Intel, AWS and our community partners. Okay. Welcome back, everyone. That's the cubes. Live coverage here in Palo Alto, California. I'm John for your host with David Lantana in Boston. Massachusetts. Uh, we got a great panel here. Analysts just gonna break it down. Keynote analysis. Day one, we got Ah, longtime Web services expert analyst Diane Hinchcliffe, principal researcher at N V. P. It constantly research, but he goes way back. Dan, I remember, uh, 2000 and one time frame you and I'm >>reading Last time you and I hang out with Michael Arrington's house back in the TechCrunch days >>back when, you know you were on this was Web services. I mean, that's always, uh, serves on the architectures. They called it back then. This was the beginning. This really was the catalyst of cloud. If you think about virtualization and Web services in that era, that really spawned where we are today so great to >>have you on as an Amazon got their start saying that everyone could get whatever they want to on a P. I now right, >>all right? Well, we've been riding this wave. Certainly it's cotton now more clear for the mainstream America. And I quoted you in my story, uh, on Andy Jassy when I had my one on one with them because I saw your talk with star Bit of the weekend and in the way you kicked it off was the Pandemic four was forced upon everybody, which is true, and that caught my attention was very notable because you talked to a lot of C E. O s. Does jazz sees pitch resonate with them? In your opinion, what's your take on on that on that posture? Because we heard, hey, you know, get busy building or you're dying, right? So get busy building. That's what >>I thought that was a good message. But I mean on and certainly I saw tweets and said, Hey, he's just he's just directly talking to the CEO. But if you ask me, he's still talking to the CTO, right? The technology officer who's got a feels all this technology and bend it into the shape that it will serve the business. You talk to a CEO who wants is trying to get on the cloud their biggest challenges. I know I need armies of people who know all these brand new services. You saw the development velocity of all the things that they announced and things they re emphasized there was There was a lot of things that were bringing back again because they have so many things that they're offering to the public. But the developer skills or not, they're the partner skills are not there. So you talked to CEO, says All right, I buy in and and I have had to transform overnight because of the pandemic, my customers have moved, my workers have moved on, and I have to like, you know, redirect all my I t Overnight and Cloud is the best way to do that. Where's my where's all the skills for the training programs, the department programs that allow me to get access to large amounts of talent? Those are the types of things that the CEO is concerned about is from an operational perspective. We didn't hear anything about, like a sales force type trailhead where we're going to democratize cloud skills to the very far end of your organization. >>Yeah, they're just kind of scratching the service. They didn't mention that, you know, far Gates away to get into server list. I mean, this is ultimately the challenge Dave and Deena like, don't get your thoughts on this because I was talking Teoh a big time CTO and a big time see so and that perspectives were interesting. And here's the Here's the Here's what I want you to react Thio the sea level Say everything is gonna be a service. Otherwise we're gonna be extinct. Okay, that's true. I buy that narrative, Okay, Make it as a service. That's why not use it. And then they go to the C t. And they say, implement, They go Well, it's not that easy. So automation becomes a big thing. And then so there's this debate. Automate, automate, automate. And then everything becomes a service. Is it the cart before the horse? So is automation. It's the cart before the horse, for everything is a service. What do you guys think about that? >>We'll see. I mean, CEO is to Diane's point, are highly risk averse and they like services. And those services generally are highly customized. And I think the tell in the bevy of announcements the buffet have announces that we heard today was in the marketplace what you guys thought of this or if you caught this. But there was a discussion about curated professional services that were tied to software, and there were classic PDM services. But they were very, you know, tight eso sort of off the shelf professional services, and that's kind of how Amazon plays it. And they were designed to be either self serve. It's a Diane's point. Skill sets aren't necessarily there or third parties, not directly from Amazon. So that's a gap that Amazon's got too close. I mean, you talk about all the time without post installations, you know, going on Prem. You know who's gonna support and service those things. You know, that's a that's a white space right now. I think >>e think we're still reading the tea leaves on the announcements. But there was one announcement that was, I thought really important. And that was this VM Ware cloud for a W s. It says, Let's take your VM ware skills, which you've honed and and cultivated and built a talent base inside your organization to run VMS and let's make that work for a W s. So I thought the VM Ware cloud for a W s announcement was key. It was a sleeper. It didn't spend a lot of time on it. But the CEO ears are gonna perk up and say, Wait, I can use native born skills. I already have to go out to the cloud So I didn't think that they did have 11 announcement I thought was compelling in that >>in the spending data shows of VM Ware Cloud on AWS is really gaining momentum by the way, As you see in that open shift So you see in that hybrid zone really picking up. And we heard that from AWS today. John, you and I talked about it at the open I produces in >>Yeah, I want to double down on that point you made because I want to get your thoughts on this a Z analyst because you know, the VM ware is also tell. Sign to what I'm seeing as operating and developing Dev ops as they be called back in the day. But you gotta operate, i t. And if Jassy wants to go after this next tier of spend on premise and edge. He's gotta win the global i t posture game. He's gotta win hybrid. He's got to get there faster to your point. You gotta operate. It's not just develop on it. So you have a development environment. You have operational environment. I think the VM Ware thing that's interesting, cause it's a nice clean hand in glove. VM Ware's got operators who operate I t. And they're using Amazon to develop, but they work together. There's no real conflict like everyone predicted. So is that the tell sign is the operational side. The challenge? The Dev, How does Amazon get that global I t formula down? Is it the VM Ware partnership? >>I think part of it is there, finally learning to say that the leverage that the vast pool of operational data they have on their literally watching millions of organizations run all the different services they should know a lot and I say made that point today, he said, Well, people ask us all the time. You must have all these insights about when things were going right or wrong. Can you just tell us? And so I think the announcement around the Dev ops guru was very significant, also saying you don't necessarily have to again teach all your staff every in and out about how to monitor every aspect of all these new services that are much more powerful for your business. But you don't yet know how to manage, especially at scale. So the Dev Ops guru is gonna basically give a dashboard that says, based on everything that we've known in the past, we could give you insights, operational insights you can act on right away. And so I think that is again a tool that could be put in place on the operational side. Right. So b m where for cloud gives you migration ability, uh, of existing skills and workloads. And then the Dev Ops crew, if it turns out to be everything they say it is, could be a really panacea for unlocking the maturity curve that these operators have to climb >>on. AWS is in the business now of solving a lot of the problems that it sort of helped create. So you look at, for instance, you look at the sage maker Data Wrangler trying to simplify data workloads. The data pipeline in the cloud is very very complex and so they could get paid for helping simplify that. So that's a wonderful, virtuous circle. We've seen it before. >>Yeah. I mean, you have a lot of real time contact lens you've got, um, quick site. I mean, they have to kind of match the features. And And I want to get your guys thoughts on on hybrid because I think, you know, I'm still stuck on this, Okay? They won the as path and their innovations Great. The custom chips I buy that machine learning all awesome. So from the classic cloud I as infrastructure and platform as a service business looking good. Now, if you're thinking global, I t I just don't just not connecting the dots there. See Outpost? What's riel today for Amazon? Can you guys share E? I mean, if you were watching this keynote your head explode because you've got so many announcements. What's actually going on if you're looking at this is the CEO. >>So the challenge you have is the CEO. Is that your you have 10, 20 or 30 or more years of legacy hardware, including mainframes, right. Like so big insurance companies don't use mainframe because their claims systems have been developed in their very risk averse about changing them. Do you have to make all of this work together? Like, you know, we see IBM and Redhead are actually, you know, chasing that mainframe. Which angle, which is gonna die out where Amazon, I think is smart is saying, Look, we understand that container is gonna be the model container orchestration is gonna be how I t goes forward. The CEO is now buy into that. Last year, I was still saying, Are we gonna be able to understand? Understand? Kubernetes is the regular average i t person, which are not, you know, Google or Facebook level engineers Are there gonna be able to do do containers? And so we see the open sourcing of of the AWS is, uh, kubernetes, uh, server on. We see plenty of container options. That's how organizations could build cloud native internally. And when they're ready to go outside because we're gonna move, they're gonna move many times slower than a cloud native company to go outside. Everything is ready there. Um, I like what I'm seeing without posts. I like what I'm seeing with the hybrid options. The VM ware for cloud. They're building a pathway that says you can do real cloud. And I think the big announcement that was that. That s a really, uh, spend time on which is that PCs for everywhere. Um, a saying you're gonna be able to put Amazon services are compute services anywhere. You need it, e think that's a smart message. And that allows people to say I could eventually get toe one model to get my arms around this over time >>day. What does that mean for the numbers? I know you do a lot of research on spend customer data. Um, CEO is clearly no. This is gonna be the world's never go back to the same way it was. They certainly will accelerate cloud toe. What level depends upon where they are in their truth, as Jassy says. But >>what does >>the numbers look at? Because you're looking at the data you got Microsoft, You got Amazon. What's the customer spend look like where they're gonna be spending? >>Well, so a couple things one is that when you strip out the the SAS portion of both Google and Azure, you know, as we know, I asked him pass A W S is the leader, but there's no question that Microsoft is catching up. Says that we were talking about earlier. Uh, it's the law of large numbers Just to give you a sense Amazon this year we'll add. Q four is not done yet, but they'll add 10 billion over last year. And Jesse sort of alluded to that. They do that in 12 months. You know, uh, azure will add close to nine billion this year of incremental revenue. Google much, much smaller. And so So that's, you know, just seeing, uh, as you really catch up there for sure, you know, closing that gap. But still Amazon's got the lead. The other thing I would say is die on you and I were talking about this Is that you know Google is starting. Thio do a little bit better. People love their analytics. They love the built in machine learning things like like big query. And you know, even though they're much, much smaller there, another hedge people don't necessarily want to goto Microsoft unless they're Microsoft Shop. Google gives them that alternative, and that's been a bit of a tailwind for Google. Although I would say again, looking at the numbers. If I look back at where Azure and AWS were at this point where Google is with a few billion dollars in cloud the growth rates, I'd like to see Google growing a little faster. Maybe there's a covert factor there. >>Diane. I want to get your thoughts on this transition. Microsoft Oracle competition Um, Jesse knows he's got a deal with the elite Salesforce's out there. Oracle, Microsoft. Microsoft used to be the innovator. They had the they had the phrase embracing extend back in the day. Now Amazon's embracing and extending, but they gotta go through Oracle and Microsoft if they wanna win the enterprise on premise business and everybody else. Um, eso welcome to the party like Amazon. You What's your take on them versus Microsoft? Calling them out on sequel server licensing practices almost thrown him under the bus big time. >>Well, I think that's you know, we saw the evidence today that they're actually taking aim at Microsoft now. So Babel Fish, which allows you to run Microsoft sequel server workloads directly on Aurora. Uh, that that is what I call the escape pod that gives organizations an easy way That isn't Will parliament to redesign and re architect their applications to say, Just come over to AWS, right? We'll give you a better deal. But I think you've got to see Amazon have, um, or comprehensive sales plan to go into the C. E. O s. Go after the big deals and say, You know, we want to say the whole cloud suite, we have a stack that's unbeatable. You see our velocities, you know, best in class. Arguably against Microsoft is the big challenger, but we'll beat you on on a total cost of ownership. You know, your final bill. At the end of the day, we could we commit to being less than our competitors. Things like that will get the attention. But, you know, uh, Amazon is not known for cutting customized deals. Actually, even frankly, I'm hearing from very CEO is a very large, like Fortune 20 companies. They have very little wiggle room with Microsoft's anybody who's willing to go to the big enterprise and create custom deals. So if you build a sales team that could do that, you have a real shot and saying getting into the CEO's office and saying, You know, we want to move all the I t over and I'm seeing Microsoft getting winds like that. I'm not yet seeing Amazon and they're just gonna have to build a specialized sales team that go up against those guys and migration tools like we saw with Babel fish that says, If you want to come, we can get you over here pretty quick. >>I want to chime in on Oracle to John. I do. I think this is a blind spot somewhat for AWS, Oracle and mainframes. Jesse talks that talks like, Oh yeah, these people, they wanna get off there. And there's no question there are a number of folks that are unhappy, certainly with Oracle's licensing practices. But I talked to a lot of Oracle customers that are running the shops on Oracle database, and it's really good technology. It is world class for mission critical transaction workloads. Transaction workloads tend to be much, much smaller data set sizes, and so and Oracle's got, you know, decades built up, and so their their customers air locked in and and they're actually reasonably happy with the service levels they're getting out of Oracle. So yes, licensing is one thing, but there's more to the story and again, CEO or risk averse. To Diane's point, you're not just gonna chuck away your claim system. It's just a lot of custom code. And it's just the business case isn't there to move? >>Well, I mean, I would argue that Well, first of all, I see where you're coming from. But I would also argue that one of the things that Jesse laid out today that I thought was kind of a nuanced point was during the vertical section. I think it was under the manufacturing. He really laid out the case that I saw for startups and or innovation formula, that horizontal integration around the data. But then being vertically focused with the modern app with same machine learning. So what he was saying, and I don't think he did a good job doing it was you could disrupt horizontally in any industry. That's a that's a disruption formula, but you still could have that scale. That's cloud horizontal scalability, cloud. But the data gives you the ability to do both. I think bringing data together across multiple silos is critical, but having that machine learning in the vertical is the way you could different so horizontally. Scalable vertical specialization for the modern app, I think is a killer formula. And I think >>I think that's a I think it's a really strong point, John, and you're seeing that you're seeing in industries like, for instance, Amazon getting into grocery. And that's a data play. But I do like Thio following your point. The Contact Center solutions. I like the solutions play there and some of the stuff they're doing at the edge with i o T. The equipment optimization, the predictive maintenance, those air specialized solutions. I really like the solutions Focus, which several years ago, Amazon really didn't talk solution. So that's a positive sign, >>Diane, what do you think? The context And I think that was just such low hanging fruit for Amazon. Why not do it? You got the cloud scale. You got the Alexa knowledge, you know, got machine learning >>zone, that natural language processing maturity to allow them to actually monitor that. You know that that contact lens real time allows them a lot of supervisors to intervene them conversations before they go completely south, right? So allowing people to get inside decision windows they couldn't before. I think that's a really important capability. And that's a challenge with analytics in general. Is that generates form or insights than people know how to deal with? And it solutions like contact lens Real time? This is Let's make these insights actionable before it's broken. Let's give you the data to go and fix it before it even finishes breaking. And this is the whole predictive model is very powerful. >>Alright, guys, we got four minutes left. I wanted Segway and finish up with what was said in the keynote. That was a tell sign that gives us some direction of where the dots will connect in the future. There's a lot of stuff that was talked about that was, you know, follow on. That was meat on the bone from previous announcements. Where did Jassy layout? What? I would call the directional shift. Did you see anything particular that you said? Okay, that is solid. I mean, the zones was one I could see. What clearly is an edge piece. Where did you guys see? Um, some really good directional signaling from Jassy in terms of where they really go. Deal with start >>e I felt like Jassy basically said, Hey, we invented cloud. Even use these words we invented cloud and we're gonna define what hybrid looks like We're gonna bring our cloud model to the edge. And the data center just happens to be another edge point. And hey, I thought he laid down the gauntlet. E think it's a very powerful message. >>What do you think Jesse has been saying? That he laid out here, That's >>you laid out a very clear path to the edge that the Amazons marching to the edge. That's the next big frontier in the cloud. It isn't well defined. And that just like they defined cloud in the early days that they don't get out there and be the definitive leader in that space. Then they're gonna be the follower. I think so. We saw announcement after announcement around that you know, from the zones Thio the different options for outpost um, the five g announcement wavelength. All of those things says we're gonna go out to the very tippy edge is what I heard right out to your mobile devices. Right after the most obscure field applications imaginable. We're gonna have an appliance So we're gonna have a service that lets you put Amazon everywhere. And so I think the overarching message was This is a W s everywhere it z gonna go after 100% of I t. Eventually on DSO you can move to that. You know, this one stop shop? Um and you know, we saw him or more discussions about multi cloud, but it was interesting how they stand away from that. And this is what I think One area that they're going to continue to avoid. So it was interesting, >>John, I think I think the edges one by developers. And that's good news for Amazon. And good news for Microsoft. >>We'll see the facilities is gonna be good for me. I think guys, the big take away You guys nailed two of them there, but I think the other one was I think he's trying to speak to this new generation in a very professorial way. Talk about Clay Christensen was a professor at his business school at Harvard. We all know the book. Um, but there was this There was this a posture of speaking to the younger generation like hey, the old guy, the old that was running the mainframe. Wherever the old guys there, you could take over and run this. So it's kind of like more of a leadership preach of preaching like, Hey, it's okay to be cool and innovative, right now is the time to get in cloud. And the people who are blocking you are either holding on to what they built or too afraid to shift. Eso I think a Z we've seen through waves of innovation. You always have those people you know who are gonna stop that innovation. So I was very interesting. You mentioned that would service to the next generation. Um, compute. So he had that kind of posture. Interesting point. Yeah, just very, very preachy. >>E think he's talking to a group of people who also went through the through 2020 and they might be very risk averse and not bold anymore. And so, you know, I think that may have helped address that as well. >>All right, gentlemen, great stuff. Final word in the nutshell. Kena, What do you think about it in general? Will take away. >>Yeah, I I think we saw the continued product development intensity that Amazon is going to use to try and thrash the competition? Uh, the big vision. Um, you know, the real focus on developers first? Um and I think I t and C e O's second, I think before you could say they didn't really think about them too much at all. But now it's a close second. You know, I really liked what I saw, and I think it's It's the right move. I'd like to Seymour on on hybrid cloud migration than that, even when we saw them. >>All right, leave it there. Don. Thanks for coming on from this guest analyst segment. Appreciate you jumping in Cuba. Live. Thank you. >>Thanks. Alright. >>With acute virtual. I'm your host John per day Volonte here covering A W s live covering the keynote in real time State more for more coverage after the break

>> live from Orlando, Florida It's the que covering accelerate nineteen. Brought to you by important >> Hey, welcome back to the Cube. We are live at forty nine. Accelerate nineteen in Orlando, Florida I am Lisa Martin with Peter Births, and Peter and I are pleased to welcome one of our alumni back to the program during Mickey, the chief of security insights for forty nine. Derek. It's great to have you back on the program, >> so it's always a pleasure to be here. It's tze always good conversations. I really look forward to it and it's It's never a boring day in my office, so we're than happy to talk about this. >> Fantastic. Excellent. Well, we've been here for a few hours, talking with a lot of your leaders. Partners as well. The keynote this morning was energetic. Talked a lot about the evocation, talked a lot about the evolution of not just security and threat, but obviously of infrastructure, multi cloud hybrid environment in which we live. You have been with forty girl lives for a long time. Talk to us about the evolution that you've seen of the threat landscape and where we are today. >> Sure, Yeah, so you know? Yeah, I've been fifteen years now, forty guards. So I flashed back. Even a two thousand, for it was a vastly different landscape back there and Internet and even in terms of our security technology in terms of what the attack surface was like back then, you know, Ken Kennedy was talking about EJ computing, right? Because that's what you know. Seventy percent of data is not going to be making it to the cloud in the future. A lot of processing is happening on the edge on DH. Threats are migrating that way as well, right? But there's always this mirror image that we see with the threat landscape again. Threat landscape. Back in nineteen eighty nine, we started with the Morris Worm is very simple instructions. It took down about eighty percent of the Internet at the time, but he was It is very simple. It wasn't to quote unquote intelligence, right? Of course, if we look through the two thousands, we had a lot of these big worms that hit the scene like Conficker. I love you, Anna Kournikova. Blaster slammer. All these famous rooms I started Teo become peer to peer, right? So they were able to actually spread from network to network throughout organizations take down critical services and so forth. That was a big evolutionary piece at the time. Of course, we saw fake anti virus ransomware. Come on stage last. Whereas I called it, which was destructive Mauer That was a big shift that we saw, right? So actually physically wiping out data on systems these air typically in like star but warfare based attacks. And that takes us up to today, right? And what we're seeing today, of course, we're still seeing a lot of ransom attacks, but we're starting to see a big shift in technology because of this edge computing used case. So we're seeing now things like Swarm networks have talked about before us. So these are not only like we saw in the two thousand's threats that could shift very quickly from network to network talk to each other, right? In terms of worms and so forth. We're also seeing now in intelligence baked in. And that's a key difference in technology because these threats are actually able, just like machine to machine. Communication happens through a pea eye's protocols and so forth threats are able to do this a swell. So they ableto understand their own local environment and how to adapt to that local environment and capitalized on that effort on DH. That's a very, very big shift in terms of technology that we're seeing now the threat landscape. >> So a lot of those old threats were depending upon the action of a human being, right? So in many respects, the creativity was a combination of Can you spook somebody make it interesting so that they'll do something that was always creativity in the actual threat itself. What you're describing today is a world where it's almost like automated risk. We're just as we're trying to do automation to dramatically increase the speed of things, reduce the amount of manual intervention. The bad guy's doing the same thing with the swarms there, introducing technology that is almost an automated attack and reconfigures itself based on whatever environment, conditions of encounters. >> Yeah, and the interesting thing is, what's happening here is we're seeing a reduction in what I call a t t be a time to breach. So if you look at the attack lifecycle, everything does doesn't happen in the blink of an instant it's moving towards that right? But if you look at the good, this's what's to come. I mean, we're seeing a lot of indications of this already. So we work very closely with Miter, the minor attack framework. It describes different steps for the attack life cycle, right? You start with reconnaissance weaponization and how do you penetrator system moving the system? Collect data monetize out as a cyber criminal. So even things like reconnaissance and weaponization. So if you look at fishing campaigns, right, people trying to fish people using social engineering, understanding data points about them that's becoming automated, that you sought to be a human tryingto understand their target, try toe fish them so they could get access to their network. There's tool kits now that will actually do that on their own by learning about data points. So it's scary, yes, but we are seeing indications of that. And and look, the endgame to this is that the attacks were happening much, much quicker. So you've got to be on your game. You have to be that much quicker from the defensive point of view, of course, because otherwise, if successful breach happens, you know we're talking about some of these attacks. They could. They could be successful in matter of seconds or or minutes instead of days or hours like before. You know, we're talking about potentially millions dollars of revenue loss, you know, services. They're being taken out flying intellectual properties being reached. So far, >> though. And this is, you know, I think of health care alone and literally life and death situations. Absolutely. How is Fortinet, with your ecosystem of partners poised to help customers mitigate some of these impending risk changing risk >> coverage? Strengthen numbers. Right. So we have, ah, strong ecosystem, of course, through our public ready program. So that's a technology piece, right? And to end security, how we can integrate how we can use automation to, you know, push security policies instead of having an administrator having to do that. Humans are slow a lot of the time, so you need machine to machine speed. It's our fabric ready program. You know, we have over fifty seven partners there. It's very strong ecosystem. From my side of the House on Threat Intelligence. I had up our global threat alliances, right? So we are working with other security experts around the World Cyberthreat Alliance is a good example. We've created intelligence sharing platforms so that we can share what we call indicators of compromise. So basically, blueprints are fingerprints. You can call them of attacks as they're happening in real time. We can share that world wide on a platform so that we can actually get a heads up from other security vendors of something that we might not see on. We can integrate that into our security fabric in terms of adding new, new, you know, intelligence definitions, security packages and so forth. And that's a very powerful thing. Beyond that, I've also created other alliances with law enforcement. So we're working with Interpol that's attribution Base work right that's going after the source of the problem. Our end game is to make it more expensive for cyber criminals to operate. And so we're doing that through working with Interpol on law enforcement. As an example, we're also working with national computer emergency response, so ripping malicious infrastructure off line, that's all about partnership, right? So that's what I mean strengthen numbers collaboration. It's It's a very powerful thing, something close to my heart that I've been building up over over ten years. And, you know, we're seeing a lot of success and impact from it, I think. >> But some of the, uh if you go back and look at some of the old threats that were very invasive, very problematic moved relatively fast, but they were still somewhat slow. Now we're talking about a new class of threat that happens like that. It suggests that the arrangement of assets but a company like Ford and that requires to respond and provide valued customers has to change. Yes, talk a little about how not just the investment product, but also the investment in four guard labs is evolving. You talked about partnerships, for example, to ensure that you have the right set of resources able to be engaged in the right time and applied to the right place with the right automation. Talk about about that. >> Sure, sure. So because of the criticality of this nature way have to be on point every day. As you said, you mentioned health care. Operational technology is a big thing as well. You know, Phyllis talking about sci fi, a swell right. The cyber physical convergence so way have to be on our game and on point and how do we do that? A couple of things. One we need. People still way. Can't you know Ken was talking about his his speech in Davos at the World Economic Forum with three to four million people shortage in cyber security of professionals There's never going to be enough people. So what we've done strategically is actually repositioned our experts of forty guard labs. We have over two hundred thirty five people in forty guard lab. So as a network security vendor, it's the largest security operation center in the world. But two hundred thirty five people alone are going to be able to battle one hundred billion threat events that we process today. Forty guard lab. So so what we've done, of course, is take up over the last five years. Machine learning, artificial intelligence. We have real practical applications of a I and machine learning. We use a supervised learning set so we actually have our machines learning about threats, and we have our human experts. Instead of tackling the threat's one on one themselves on the front lines, they let them in. The machine learning models do that and their training the machine. Just it's It's like a parent and child relationship. It takes time to learn a CZ machines learn. Over time they started to become more and more accurate. The only way they become more accurate is by our human experts literally being embedded with these machines and training them >> apart for suspended training. But also, there's assortment ation side, right? Yeah, we're increasing. The machines are providing are recognizing something and then providing a range of options. Thie security, professional in particular, doesn't have to go through the process of discovery and forensics to figure out everything. Absolution is presenting that, but also presenting potential remedial remediation options. Are you starting to see that become a regular feature? Absolutely, and especially in concert with your two hundred thirty five experts? >> Yeah, absolutely. And that's that's a necessity. So in my world, that's what I refer to is actionable intelligence, right? There's a lot of data out there. There's a lot of intelligence that the world's becoming data centric right now, but sometimes we don't have too much data. Askew Mons, a CZ analysts administrators so absolutely remediation suggestions and actually enforcement of that is the next step is well, we've already out of some features in in forty six two in our fabric to be able to deal with this. So where I think we're innovating and pioneering in the space, sir, it's it's ah, matter of trust. If you have the machines O R. You know, security technology that's making decisions on its own. You really have to trust that trust doesn't happen overnight. That's why for us, we have been investing in this for over six years now for our machine learning models that we can very accurate. It's been a good success story for us. I think. The other thing going back to your original question. How do we stack up against this? Of course, that whole edge computing use case, right? So we're starting to take that machine learning from the cloud environment also into local environments, right? Because a lot of that data is unique, its local environments and stays there. It stays there, and it has to be processed that such too. So that's another shift in technology as we move towards edge computing machine learning an artificial intelligence is absolutely part of that story, too. >> You mentioned strengthen numbers and we were talking about. You know, the opportunity for Fortinet to help customers really beat successful here. I wanted to go back to forty guard labs for a second because it's a very large numbers. One hundred billion security events. Forty Guard labs ingests and analyzes daily. Really? Yes, that is a differentiator. >> Okay, that that's a huge huge differentiator. So, again, if I look back to when I started in two thousand four, that number would have been about five hundred thousand events today, compared to one hundred billion today. In fact, even just a year ago, we were sitting about seventy five to eighty billion, so that numbers increased twenty billion and say twenty percent right in in just a year. So that's that's going to continue to happen. But it's that absolutely huge number, and it's a huge number because we have very big visibility, right. We have our four hundred thousand customers worldwide. We have built a core intelligence network for almost twenty years now, since for Deena was founded, you know, we we worked together with with customers. So if customers wish to share data about attacks that are happening because attackers are always coming knocking on doors. Uh, we can digest that. We can learn about the attacks. We know you know what weapons that these cybercriminals they're trying to use where the cybercriminals are. We learned more about the cyber criminals, so we're doing a lot of big data processing. I have a date, a science team that's doing this, in fact, and what we do is processes data. We understand the threat, and then we take a multi pronged approach. So we're consuming that data from automation were pushing that out first and foremost to our customers. So that's that automated use case of pushing protection from new threats that we're learning about were contextualizing the threat. So we're creating playbooks, so that playbook is much like football, right? You have to know your your your offense, right? And you have to know how to best understand their tactics. And so we're doing that right. We're mapping these playbooks understanding, tactics, understanding where these guys are, how they operate. We take that to law enforcement. As I was saying earlier as an example, we take that to the Cyber Threat Alliance to tow our other partners. And the more that we learn about this attack surface, the more that we can do in terms of protection as well. But it's it's a huge number. We've had a scale and our data center massively to be able to support this over the years. But we are poised for scale, ability for the future to be able to consume this on our anti. So it's it's, um it's what I said You know the start. It's never a boring day in my office. >> How can it be? But it sounds like, you know, really the potential there to enable customers. Any industry too convert Transport sees for transform Since we talked about digital transformation transformed from being reactive, to being proactive, to eventually predictive and >> cost effective to write, this's another thing without cybersecurity skills gap. You know this. The solution shouldn't be for any given customer to try. Toe have two hundred and thirty people in their security center, right? This is our working relationship where we can do a lot of that proactive automation for them, you know, by the fabric by the all this stuff that we're doing through our investment in efforts on the back end. I think it's really important to and yeah, at the end of the day, the other thing that we're doing with that data is generating human readable reports. So we're actually helping our customers at a high level understand the threat, right? So that they can actually create policies on their end to be able to respond to this right hard in their own security. I deal with things like inside of threats for their, you know, networks. These air all suggestions that we give them based off of our experience. You know, we issue our quarterly threat landscape report as an example, >> come into cubes. Some of your people come in the Cuban >> talk about absolutely so That's one product of that hundred billion events that were processing every day. But like I said, it's a multi pronged approach. We're doing a lot with that data, which, which is a great story. I think >> it is. I wish we had more time. Derek, Thank you so much for coming by. And never a dull moment. Never a dull interview when you're here. We appreciate your time. I can't wait to see what that one hundred billion number is. Next year. A forty nine twenty twenty. >> It will be more. I can get you. >> I sound like a well, Derek. Thank you so much. We appreciate it for Peter Burress. I'm Lisa Martin. You're watching the Cube?