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Derek Manky, FortiGuard Labs | RSAC USA 2020


 

>> Narrator: Live from San Francisco. It's theCUBE, covering RSA Conference 2020, San Francisco. Brought to you by, SiliconANGLE Media. >> Welcome back everyone. CUBE coverage here in Moscone in San Francisco for RSA, 2020. I'm John Furrier host of theCUBE. We've got a great guest here talking about cybersecurity and the impact with AI and the role of data. It's always great to have Derek Manky on Chief Security Insights Global Threat Alliances with FortiGuard Lab, part of Fortinet, FortiGuard Labs is great. Great organization. Thanks for coming on. >> It's a pleasure always to be here-- >> So you guys do a great threat report that we always cover. So it covers all the bases and it really kind of illustrates state of the art of viruses, the protection, threats, et cetera. But you're part of FortiGuard Labs. >> Yeah, that's right. >> Part of Fortinet, which is a security company, public. What is FortiGuard Labs? What do you guys do, what's your mission? >> So FortiGuard Labs has existed since day one. You can think of us as the intelligence that's baked into the product, It's one thing to have a world-class product, but you need a world-class intelligence team backing that up. We're the ones fighting those fires against cybercrime on the backend, 24/7, 365 on a per second basis. We're processing threat intelligence. We've got over 10 million attacks or processing just per minute, over a hundred billion events, in any given day that we have to sift through. We have to find out what's relevant. We have to find gaps that we might be missing detection and protection. We got to push that out to a customer base of 450,000 customers through FortiGuard services and 5 million firewalls, 5 million plus firewalls we have now. So it's vitally important. You need intelligence to be able to detect and then protect and also to respond. Know the enemy, build a security solution around that and then also be able to act quickly about it if you are under active attack. So we're doing everything from creating security controls and protections. So up to, real time updates for customers, but we're also doing playbooks. So finding out who these attackers are, why are they coming up to you. For a CSO, why does that matter? So this is all part of FortiGuard Labs. >> How many people roughly involved ? Take us a little inside the curtain here. What's going on? Personnel size, scope. >> So we're over 235. So for a network security vendor, this was the largest global SOC, that exists. Again, this is behind the curtain like you said. These are the people that are, fighting those fires every day. But it's a large team and we have experts to cover the entire attack surface. So we're looking at not just a viruses, but we're looking at as zero-day weapons, exploits and attacks, everything from cyber crime to, cyber warfare, operational technology, all these sorts of things. And of course, to do that, we need to really heavily rely on good people, but also automation and artificial intelligence and machine learning. >> You guys are walking on a tight rope there. I can only imagine how complex and stressful it is, just imagining the velocity alone. But one of the trends that's coming up here, this year at RSA and is kind of been talking about in the industry is the who? Who is the attacker because, the shifts could shift and change. You got nation states are sitting out there, they're not going to have their hands dirty on this stuff. You've got a lot of dark web activity. You've got a lot of actors out there that go by different patterns. But you guys have an aperture and visibility into a lot of this stuff. >> Absolutely. >> So, you can almost say, that's that guy. That's the actor. That's a really big part. Talk about why that's important. >> This is critically important because in the past, let's say the first generation of, threat intelligence was very flat. It was to watch. So it was just talking about here's a bad IP, here's a bad URL, here's a bad file block hit. But nowadays, obviously the attackers are very clever. These are large organizations that are run a lot of people involved. There's real world damages happening and we're talking about, you look at OT attacks that are happening now. There's, in some cases, 30, $40 million from targeted ransom attacks that are happening. These people, A, have to be brought to justice. So we need to understand the who, but we also need to be able to predict what their next move is. This is very similar to, this is what you see online or CSI. The police trynna investigate and connect the dots like, plotting the strings and the yarn on the map. This is the same thing we're doing, but on a way more advanced level. And it's very important to be able to understand who these groups are, what tools they use, what are the weapons, cyber weapons, if you will, and what's their next move potentially going to be. So there's a lot of different reasons that's important. >> Derek, I was riffing with another guest earlier today about this notion of, government protection. You've got a military troops drop on our shores and my neighborhood, the Russians drop in my neighborhood. Guess what, the police will probably come in, and, or the army should take care of it. But if I got to run a business, I got to build my own militia. There's no support out there. The government's not going to support me. I'm hacked. Damage is done. You guys are in a way providing that critical lifeline that guard or shield, if you will, for customers. And they're going to want more of it. So I've got to ask you the hard question, which is, how are you guys going to constantly be on the front edge of all this? Because at the end of the day, you're in the protection business. Threats are coming at the speed of milliseconds and nanoseconds, in memory. You need memory, you need database. You've got to have real time. It's a tsunami of attack. You guys are the front lines of this. You're the heat shield. >> Yes, absolutely. >> How do you take it to the next level? >> Yeah, so collaboration, integration, having a broad integrated platform, that's our bread and butter. This is what we do. End-to-end security. The attack surface is growing. So we have to be able to, A, be able to cover all aspects of that attack surface and again, have intelligence. So we're doing sharing through partners. We have our core intelligence network. Like I said, we're relying heavily on machine learning models. We're able to find that needle in the haystack. Like, as I said earlier, we're getting over a hundred billion potential threat events a day. We have to dissect that. We have to break it down. We have to say, is this affecting endpoint? Is this effect affecting operational technology? What vertical, how do we process it? How do we verify that this is a real threat? And then most importantly, get that out in time and speed to our customers. So I started with automation years ago, but now really the way that we're doing this is through broad platform coverage. But also machine learning models for and-- >> I want to dig into machine learning because, I love that needle in the haystack analogy, because, if you take that to the next step, you got to stack a needles now. So you find the needle in the haystack. Now you got a bunch of needles, where do you find that? You need AI, you got to have some help. But you still got the human component. So talk about how you guys are advising customers on how you're using machine learning and get that AI up and running for customers and for yourselves. >> So we're technology people. I always look at this as the stack. The stack model, the bottom of the stack, you have automation. You have layer one, layer two. That's like the basic things for, feeds, threat feeds, how we can push out, automate, integrate that. Then you have the human. So the layer seven. This is where our human experts are coming in to actually advise our customers. We're creating a threat signals with FortiGuard Labs as an example. These are bulletins that's a quick two to three page read that a CSO can pick up and say, here's what FortiGuard Labs has discovered this week. Is this relevant to my network? Do I have these protections in place. There's also that automated, and so, I refer to this as a centaur model. It's half human half machine and, the machines are driving a lot of that, the day to day mundane tasks, if you will, but also finding, collecting the needles of needles. But then ultimately we have our humans that are processing that, analyzing it, creating the higher level strategic advice. We recently, we've launched a FortiAI, product as well. This has a concept of a virtual-- >> Hold on, back up a second. What's it called? >> FortiAI. >> So it's AI components. Is it a hardware box or-- >> This is a on-premise appliance built off of five plus years of learning that we've done in the cloud to be able to identify threats and malware, understand what that malware does to a detailed level. And, where we've seen this before, where is it potentially going? How do we protect against it? Something that typically you would need, four to five headcount in your security operations center to do, we're using this as an assist to us. So that's why it's a virtual analyst. It's really a bot, if you will, something that can actually-- >> So it's an enabling opportunity for the customers. So is this virtual assistant built into the box. What does that do, virtual analyst. >> So the virtual analyst is able to, sit on premises. So it's localized learning, collect threats to understand the nature of those threats, to be able to look at the needles of the needles, if you will, make sense of that and then automatically generate reports based off of that. So it's really an assist tool that a network admin or a security analyst was able to pick up and virtually save hours and hours of time of resources. >> So, if you look at the history of like our technology industry from a personalization standpoint, AI and data, whether you're a media business, personalization is ultimately the result of good data AI. So personalization for an analyst, would be how not to screw up their job. (laughs) One level. The other one is to be proactive on being more offensive. And then third collaboration with others. So, you starting to see that kind of picture form. What's your reaction to that? >> I think it's great. There's stepping stones that we have to go through. The collaboration is not always easy. I'm very familiar with this. I mean I was, with the Cyber Threat Alliance since day one, I head up and work with our Global Threat Alliances. There's always good intentions, there's problems that can be created and obviously you have things like PII now and data privacy and all these little hurdles they have to come over. But when it works right together, this is the way to do it. It's the same thing with, you talked about the data naturally when he started building up IT stacks, you have silos of data, but ultimately those silos need to be connected from different departments. They need to integrate a collaborate. It's the same thing that we're seeing from the security front now as well. >> You guys have proven the model of FortiGuard that the more you can see, the more visibility you can see and more access to the data in real time or anytime scale, the better the opportunity. So I got to take that to the next level. What you guys are doing, congratulations. But now the customer. How do I team up with, if I'm a customer with other customers because the bad guys are teaming up. So the teaming up is now a real dynamic that companies are deploying. How are you guys looking at that? How is FortiGuard helping that? Is it through services? Is it through the products like virtual assistant? Virtual FortiAI? >> So you can think of this. I always make it an analogy to the human immune system. Artificial neural networks are built off of neural nets. If I have a problem and an infection, say on one hand, the rest of the body should be aware of that. That's collaboration from node to node. Blood cells to blood cells, if you will. It's the same thing with employees. If a network admin sees a potential problem, they should be able to go and talk to the security admin, who can go in, log into an appliance and create a proper response to that. This is what we're doing in the security fabric to empower the customer. So the customer doesn't have to always do this and have the humans actively doing those cycles. I mean, this is the integration. The orchestration is the big piece of what we're doing. So security orchestration between devices, that's taking that gap out from the human to human, walking over with a piece of paper to another or whatever it is. That's one of the key points that we're doing within the actual security fabric. >> So that's why silos is problematic. Because you can't get that impact. >> And it also creates a lag time. We have a need for speed nowadays. Threats are moving incredibly fast. I think we've talked about this on previous episodes with swarm technology, offensive automation, the weaponization of artificial intelligence. So it becomes critically important to have that quick response and silos, really create barriers of course, and make it slower to respond. >> Okay Derek, so I got to ask you, it's kind of like, I don't want to say it sounds like sports, but it's, what's the state of the art in the attack vectors coming in. What are you guys seeing as some of the best of breed tax that people should really be paying attention to? They may, may not have fortified down. What are SOCs looking at and what are security pros focused on right now in terms of the state of the art. >> So the things that keep people up at night. We follow this in our Threat Landscape Report. Obviously we just released our key four one with FortiGuard Labs. We're still seeing the same culprits. This is the same story we talked about a lot of times. Things like, it used to be a EternalBlue and now BlueKeep, these vulnerabilities that are nothing new but still pose big problems. We're still seeing that exposed on a lot of networks. Targeted ransom attacks, as I was saying earlier. We've seen the shift or evolution from ransomware from day to day, like, pay us three or $400, we'll give you access to your data back to going after targeted accounts, high revenue business streams. So, low volume, high risk. That's the trend that we're starting to see as well. And this is what I talk about for trying to find that needle in the haystack. This is again, why it's important to have eyes on that. >> Well you guys are really advanced and you guys doing great work, so congratulations. I got to ask you to kind of like, the spectrum of IT. You've got a lot of people in the high end, financial services, healthcare, they're regulated, they got all kinds of challenges. But as IT and the enterprise starts to get woke to the fact that everyone's vulnerable. I've heard people say, well, I'm good. I got a small little to manage, I'm only a hundred million dollar business. All I do is manufacturing. I don't really have any IP. So what are they going to steal? So that's kind of a naive approach. The answer is, what? Your operations and ransomware, there's a zillion ways to get taken down. How do you respond to that. >> Yeah, absolutely. Going after the crown jewels, what hurts? So it might not be a patent or intellectual property. Again, the things that matter to these businesses, how they operate day to day. The obvious examples, what we just talked about with revenue streams and then there's other indirect problems too. Obviously, if that infrastructure of a legitimate organization is taken over and it's used as a botnet and an orchestrated denial-of-service attack to take down other organizations, that's going to have huge implications. >> And they won't even know it. >> Right, in terms of brand damage, has legal implications as well that happened. This is going even down to the basics with consumers, thinking that, they're not under attack, but at the end of the day, what matters to them is their identity. Identity theft. But this is on another level when it comes to things to-- >> There's all kinds of things to deal with. There's, so much more advanced on the attacker side. All right, so I got to ask you a final question. I'm a business. You're a pro. You guys are doing great work. What do I do, what's my strategy? How would you advise me? How do I get my act together? I'm working the mall every day. I'm trying my best. I'm peddling as fast as I can. I'm overloaded. What do I do? How do I go the next step? >> So look for security solutions that are the assist model like I said. There's never ever going to be a universal silver bullet to security. We all know this. But there are a lot of things that can help up to that 90%, 95% secure. So depending on the nature of the threats, having a first detection first, that's always the most important. See what's on your network. This is things where SIM technology, sandboxing technology has really come into play. Once you have those detections, how can you actually take action? So look for a integration. Really have a look at your security solutions to see if you have the integration piece. Orchestration and integration is next after detection. Finally from there having a proper channel, are there services you looked at for managed incident response as an example. Education and cyber hygiene are always key. These are free things that I push on everybody. I mean we release weekly threat intelligence briefs. We're doing our quarterly Threat Landscape Reports. We have something called threat signals. So it's FortiGuard response to breaking industry events. I think that's key-- >> Hygiene seems to come up over and over as the, that's the foundational bedrock of security. >> And then, as I said, ultimately, where we're heading with this is the AI solution model. And so that's something, again that I think-- >> One final question since it's just popped into my head. I wanted, and that last one. But I wanted to bring it up since you kind of were, we're getting at it. I know you guys are very sensitive to this one topic cause you live it every day. But the notion of time and time elapsed is a huge concern because you got to know, it's not if it's when. So the factor of time is a huge variable in all kinds of impact. Positive and negative. How do you talk about time and the notion of time elapsing. >> That's great question. So there's many ways to stage that. I'll try to simplify it. So number one, if we're talking about breaches, time is money. So the dwell time. The longer that a threat sits on a network and it's not cleaned up, the more damage is going to be done. And we think of the ransom attacks, denial-of-service, revenue streams being down. So that's the incident response problem. So time is very important to detect and respond. So that's one aspect of that. The other aspect of time is with machine learning as well. This is something that people don't always think about. They think that, artificial intelligence solutions can be popped up overnight and within a couple of weeks they're going to be accurate. It's not the case. Machines learn like humans too. It takes time to do that. It takes processing power. Anybody can get that nowadays, data, most people can get that. But time is critical to that. It's a fascinating conversation. There's many different avenues of time that we can talk about. Time to detect is also really important as well, again. >> Let's do it, let's do a whole segment on that, in our studio, I'll follow up on that. I think it's a huge topic, I hear about all the time. And since it's a little bit elusive, but it kind of focuses your energy on, wait, what's going on here? I'm not reacting. (laughs) Time's a huge issue. >> I refer to it as a latency. I mean, latency is a key issue in cybersecurity, just like it is in the stock exchange. >> I mean, one of the things I've been talking about with folks here, just kind of in fun conversation is, don't be playing defense all the time. If you have a good time latency, you going to actually be a little bit offensive. Why not take a little bit more offense. Why play defense the whole time. So again, you're starting to see this kind of mentality not being, just an IT, we've got to cover, okay, respond, no, hold on the ballgame. >> That comes back to the sports analogy again. >> Got to have a good offense. They must cross offense. Derek, thanks so much. Quick plug for you, FortiGuard, share with the folks what you guys are up to, what's new, what's the plug. >> So FortiGuard Labs, so we're continuing to expand. Obviously we're focused on, as I said, adding all of the customer protection first and foremost. But beyond that, we're doing great things in industry. So we're working actively with law enforcement, with Interpol, Cyber Threat Alliance, with The World Economic Forum and the Center for Cyber Security. There's a lot more of these collaboration, key stakeholders. You talked about the human to human before. We're really setting the pioneering of setting that world stage. I think that is, so, it's really exciting to me. It's a lot of good industry initiatives. I think it's impactful. We're going to see an impact. The whole goal is we're trying to slow the offense down, the offense being the cyber criminals. So there's more coming on that end. You're going to see a lot great, follow our blogs at fortinet.com and all-- >> Great stuff. >> great reports. >> I'm a huge believer in that the government can't protect us digitally. There's going to be protection, heat shields out there. You guys are doing a good job. It's only going to be more important than ever before. So, congratulations. >> Thank you. >> Thanks for coming I really appreciate. >> Never a dull day as we say. >> All right, it's theCUBE's coverage here in San Francisco for RSA 2020. I'm John Furrier, your host. Thanks for watching. (upbeat music)

Published Date : Feb 27 2020

SUMMARY :

Brought to you by, SiliconANGLE Media. and the impact with AI and the role of data. and it really kind of illustrates state of the art of viruses, What do you guys do, what's your mission? and then protect and also to respond. How many people roughly involved ? And of course, to do that, But one of the trends that's coming up here, That's the actor. This is the same thing we're doing, So I've got to ask you the hard question, but now really the way that we're doing this I love that needle in the haystack analogy, the day to day mundane tasks, if you will, Hold on, back up a second. So it's AI components. to be able to identify threats and malware, So it's an enabling opportunity for the customers. So the virtual analyst is able to, sit on premises. The other one is to be proactive on being more offensive. It's the same thing that we're seeing that the more you can see, So the customer doesn't have to always do this So that's why silos is problematic. and make it slower to respond. focused on right now in terms of the state of the art. So the things that keep people up at night. I got to ask you to kind of like, the spectrum of IT. Again, the things that matter to these businesses, This is going even down to the basics with consumers, All right, so I got to ask you a final question. So depending on the nature of the threats, that's the foundational bedrock of security. is the AI solution model. So the factor of time is a huge variable So that's the incident response problem. but it kind of focuses your energy on, I refer to it as a latency. I mean, one of the things I've been talking about share with the folks what you guys are up to, You talked about the human to human before. that the government can't protect us digitally. I really appreciate. I'm John Furrier, your host.

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