>> Hey everyone, welcome to theCUBE's coverage of the AWS startup showcase. This is season two, episode three of our ongoing series featuring AWS and its big ecosystem of partners. This particular season is focused on MarTech, emerging cloud scale customer experiences. I'm your host, Lisa Martin, and I'm pleased to be joined by James Fang, the VP of product marketing at mparticle. James, welcome to the program. Great to have you on. >> Thanks for having me. >> Tell us a little bit about mparticle, what is it that you guys do? >> Sure, so we're mparticle, we were founded in 2013, and essentially we are a customer data platform. What we do is we help brands collect and organize their data. And their data could be coming from web apps, mobile apps, existing data sources like data warehouses, data lakes, et cetera. And we help them help them organize it in a way where they're able to activate that data, whether it's to analyze it further, to gather insights or to target them with relevant messaging, relevant offers. >> What were some of the gaps in the market back then as you mentioned 2013, or even now, that mparticle is really resolving so that customers can really maximize the value of their customer's data. >> Yeah. So the idea of data has actually been around for a while, and you may have heard the buzzword 360 degree view of the customer. The problem is no one has really been actually been able to, to achieve it. And it's actually, some of the leading analysts have called it a myth. Like it's a forever ending kind of cycle. But where we've kind of gone is, first of all customer expectations have really just inflated over the years, right? And part of that was accelerated due to COVID, and the transformation we saw in the last two years, right. Everyone used to, you know, have maybe a digital footprint, as complimentary perhaps to their physical footprint. Nowadays brands are thinking digital first, for obvious reasons. And the data landscape has gotten a lot more complex, right? Brands have multiple experiences, on different screens, right? And, but from the consumer perspective, they want a complete end to end experience, no matter how you're engaging with the brand. And in order to, for a brand to deliver that experience they have to know, how the customers interacted before in each of those channels, and be able to respond in as real time as possible, to those experiences. >> So I can start an interaction on my iPad, maybe carry it through or continue it on my laptop, go to my phone. And you're right, as a, as a consumer, I want the experience across all of those different media to be seamless, to be the same, to be relevant. You talk about the customer 360, as a marketer I know that term well. It's something that so many companies use, interesting that you point out that it's really been, largely until companies like mparticle, a myth. It's one of those things though, that everybody wants to achieve. Whether we're talking about healthcare organization, a retailer, to be able to know everything about a customer so that they can deliver what's increasingly demanded that personalized, relevant experience. How does mparticle fill some of the gaps that have been there in customer 360? And do you say, Hey, we actually deliver a customer 360. >> Yeah, absolutely. So, so the reason it's been a myth is for the most part, data has been- exists either in silos, or it's kind of locked behind this black box that the central data engineering team or sometimes traditionally referred to as IT, has control over, right? So brands are collecting all sorts of data. They have really smart people working on and analyzing it. You know, being able to run data science models, predictive models on it, but the, the marketers and the people who want to draw insights on it are asking how do I get it in, in my hands? So I can use that data for relevant targeting messaging. And that's exactly what mparticle does. We democratize access to that data, by making it accessible in the very tools that the actual business users are are working in. And we do that in real time, you don't have to wait for days to get access to data. And the marketers can even self-service, they're able to for example, build audiences or build computed insights, such as, you know, average order value of a customer within the tool themselves. The other main, the other main thing that mparticle does, is we ensure the quality of that data. We know that activation is only as as good, when you can trust that data, right? When there's no mismatching, you know, first name last names, identities that are duplicated. And so we put a lot of effort, not only in the identity resolution component of our product but also being able to ensure that the consistency of that data when it's being collected meets the standard that you need. >> So give us a, a picture, kind of a topology of a, of a customer data platform. And what are some of the key components that it contains, then I kind of want to get into some of the use cases. >> Yeah. So at, at a core, a lot of customer data platforms look similar. They're responsible first of all for the collection of data, right? And again, that could be from web mobile sources, as well as existing data sources, as well as third party apps, right? For example, you may have e-commerce data in a Shopify, right. Or you may have, you know, a computer model from a, from a warehouse. And then the next thing is to kind of organize it somehow, right? And the most common way to do that is to unify it, using identity resolution into this idea of customer profiles, right. So I can look up everything that Lisa or James has done, their whole historical record. And then the third thing is to be able to kind of be able to draw some insights from that, whether to be able to build an audience membership on top of that, build a predictive model, such as the churn risk model or lifetime value of that customer. And finally is being able to activate that data, so you'll be able to push that data again, to those relevant downstream systems where the business users are actually using that data to, to do their targeting, or to do more interesting things with it. >> So for example, if I go to the next Warrior's game, which I predict they're going to win, and I have like a mobile app of the stadium or the team, how, and I and I'm a season ticket holder, how can a customer data platform give me that personalized experience and help to, yeah, I'd love to kind of get it in that perspective. >> Yeah. So first of all, again, in this modern day and age consumers are engaging with brands from multiple devices, and their attention span, frankly, isn't that long. So I may start off my day, you know, downloading the official warriors app, right. And I may be, you know browsing from my mobile phone, but I could get distracted. I've got to go join a meeting at work, drop off my kids or whatever, right? But later in the day I had in my mind, I may be interested in purchasing tickets or buying that warriors Jersey. So I may return to the website, or even the physical store, right. If, if I happen to be in the area and what the customer data platform is doing in the background, is associating and connecting all those online and offline touchpoints, to that user profile. And then now, I have a mar- so let's say I'm a marker for the golden state warriors. And I see that, you know, this particular user has looked at my website even added to their cart, you know, warriors Jersey. I'm now able to say, Hey, here's a $5 promotional coupon. Also, here's a special, limited edition. We just won, you know, the, the Western conference finals. And you can pre-book, you know, the, you know the warriors championships Jersey, cross your fingers, and target that particular user with that promotion. And it's much more likely because we have that contextual data that that user's going to convert, than just blasting them on a Facebook or something like that. >> Right. Which all of us these days are getting less and less patient with, Is those, those broad blasts through social media and things like that. That was, I love that example. That was a great example. You talked about timing. One of the things I think that we've learned that's in very short supply, in the last couple of years is people's patience and tolerance. We now want things in nanoseconds. So, the ability to glean insights from data and act on it in real time is no longer really a nice to have that's really table stakes for any type of organization. Talk to us about how mparticle facilitates that real time data, from an insights perspective and from an activation standpoint. >> Yeah. You bring up a good point. And this is actually one of the core differentiators of mparticle compared to the other CDPs is that, our architecture from the ground up is built for real time. And the way we do that is, we use essentially a real time streaming architecture backend. Essentially all the data points that we collect and send to those downstream destinations, that happens in milliseconds, right? So the moment that that user, again, like clicks a button or adds something to their shopping cart, or even abandons that shopping cart, that downstream tool, whether it's a marketer, whether it's a business analyst looking at that data for intelligence, they get that data within milliseconds. And our audience computations also happens within seconds. So again, if you're, if you have a targeted list for a targeted campaign, those updates happen in real time. >> You gave an- you ran with the Warrior's example that I threw at you, which I love, absolutely. Talk to me. You must have though, a favorite cu- real world customer example of mparticle's that you think really articulates the value to organizations, whether it's to marketers operators and has some nice, tangible business outcomes. Share with me if you will, a favorite customer story. >> Yeah, definitely one of mine and probably one of the- our most well known's is we were actually behind the scenes of the Whopper jr campaign. So a couple of years ago, Burger King ran this really creative ad where the, effectively their goal was to get their mobile app out, as well as to train, you know, all of us back before COVID days, how to order on our mobile devices and to do things like curbside checkout. None of us really knew how to do that, right. And there was a challenge of course that, no one wants to download another app, right? And most apps get downloaded and get deleted right out away. So they ran this really creative promotion where, if you drove towards a McDonald's, they would actually fire off a text message saying, Hey, how about a Whopper for 99 cents instead? And you would, you would, you would receive a text message personalized just for you. And you'd be able to redeem that at any burger king location. So we were kind of the core infrastructure plumbing the geofencing location data, to partner of ours called radar, which handles you geofencing, and then send it back to a marketing orchestration vendor to be able to fire that targeted message. >> Very cool. I, I, now I'm hungry. You, but there's a fine line there between knowing that, okay, Lisa's driving towards McDonald's let's, you know, target her with an ad for a whopper, in privacy. How do you guys help organizations in any industry balance that? Cause we're seeing more and more privacy regulations popping up all over the world, trying to give consumers the ability to protect either the right to forget about me or don't use my data. >> Yeah. Great question. So the first way I want to respond to that is, mparticle's really at the core of helping brands build their own first party data foundation. And what we mean by that is traditionally, the way that brands have approached marketing is reliant very heavily on second and third party data, right? And most that second-third party data is from the large walled gardens, such as like a Facebook or a TikTok or a Snapchat, right? They're they're literally just saying, Hey find someone that is going to, you know fit our target profile. And that data is from people, all their activity on those apps. But with the first party data strategy, because the brand owns that data, we- we can guarantee that or the brands can guarantee to their customers it's ethically sourced, meaning it's from their consent. And we also help brands have governance policies. So for example, if the user has said, Hey you're allowed to collect my data, because obviously you want to run your business better, but I don't want any my information sold, right? That's something that California recently passed, with CPRA. Then brands can use mparticle data privacy controls to say, Hey, you can pass this data on to their warehouses and analytics platforms, but don't pass it to a platform like Facebook, which potentially could resell that data. >> Got it, Okay. So you really help put sort of the, the reigns on and allow those customers to make those decisions, which I know the mass community appreciates. I do want to talk about data quality. You talked about that a little bit, you know, and and data is the lifeblood of an organization, if it can really extract value from it and act on it. But how do you help organizations maintain the quality of data so that what they can do, is actually deliver what the end user customer, whether it's a somebody buying something on a, on a eCommerce site or or, a patient at a hospital, get what they need. >> Yeah. So on the data quality front, first of all I want to highlight kind of our strengths and differentiation in identity resolution. So we, we run a completely deterministic algorithm, but it's actually fully customizable by the customer depending on their needs. So for a lot of other customer data providers, platform providers out there, they do offer identity resolution, but it's almost like a black box. You don't know what happens. And they could be doing a lot of fuzzy matching, right. Which is, you know, probabilistic or predictive. And the problem with that is, let's say, you know, Lisa your email changed over the years and CDP platform may match you with someone that's completely not you. And now all of a sudden you're getting ads that completely don't fit you, or worse yet that brand is violating privacy laws, because your personal data is is being used to target another user, which which obviously should not, should not happen, right? So because we're giving our customers complete control, it's not a black box, it's transparent. And they have the ability to customize it, such as they can specify what identifiers matter more to them, whether they want to match on email address first. They might've drawn on a more high confidence identifier like a, a hash credit card number or even a customer ID. They have that choice. The second part about ensuring data quality is we act actually built in schema management. So as those events are being collected you could say that, for example, when when it's a add to cart event, I require the item color. I require the size. Let's say it's a fashion apparel. I require the size of it and the type of apparel, right? And if, if data comes in with missing fields, or perhaps with fields that don't match the expectation, let's say you're expecting small, medium, large and you get a Q, you know Q is meaningless data, right? We can then enforce that and flag that as a data quality violation and brands can complete correct that mistake to make sure again, all the data that's flowing through is, is of value to them. >> That's the most important part is, is to make sure that the data has value to the organization, and of course value to whoever it is on the other side, the, the end user side. Where should customers start, in terms of working with you guys, do you recommend customers buy an all in one marketing suite? The best, you know, build a tech stack of best of breed? What are some of those things that you recommend for folks who are going, all right, We, maybe we have a CDP it's been under delivering. We can't really deliver that customer 360, mparticle, help us out. >> Yeah, absolutely. Well, the best part about mparticle is you can kind of deploy it in phases, right. So if you're coming from a world where you've deployed a, all in one marketing suite, like a sales force in Adobe, but you're looking to maybe modernize pieces of a platform mparticle can absolutely help with that initial step. So let again, let's say all you want to do is modernize your event collection. Well, we can absolutely, as a first step, for example, you can instrument us. You can collect all your data from your web and mobile apps in real time, and we can pipe to your existing, you know Adobe campaign manager, Salesforce, marketing cloud. And later down the line, let's say, you say I want to, you know, modernize my analytics platform. I'm tired of using Adobe analytics. You can swap that out, right again with an mparticle place, a marketer can or essentially any business user can flip the switch. And within the mparticle interface, simply disconnect their existing tool and connect a new tool with a couple of button clicks and bam, the data's now flowing into the new tool. So it mparticle really, because we kind of sit in the middle of all these tools and we have over 300 productized prebuilt integrations allows you to move away from kind of a locked in, you know a strategy where you're committed to a vendor a hundred percent to more of a best of breed, agile strategy. >> And where can customers that are interested, go what's your good and market strategy? How does that involve AWS? Where can folks go and actually get and test out this technology? >> Yeah. So first of all, we are we are AWS, a preferred partner. and we have a couple of productized integrations with AWS. The most obvious one is for example, being able to just export data to AWS, whether it's Redshift or an S3 or a kinesis stream, but we also have productized integrations with AWS, personalized. For example, you can take events, feed em to personalize and personalize will come up with the next best kind of content recommendation or the next best offer available for the customer. And mparticle can ingest that data back and you can use that for personalized targeting. In fact, Amazon personalize is what amazon.com themselves use to populate the recommended for use section on their page. So brands could essentially do the same. They could have a recommended for you carousel using Amazon technology but using mparticle to move the data back and forth to, to populate that. And then on top of that very, very soon we'll be also launching a marketplace kind of entry. So if you are a AWS customer and you have credits left over or you just want to transact through AWS, then you'll have that option available as well. >> Coming soon to the AWS marketplace. James, thank you so much for joining me talking about mparticle, how you guys are really revolutionizing the customer data platform and allowing organizations and many industries to really extract value from customer data and use it wisely. We appreciate your insights and your time. >> Thank you very much, Lisa >> For James Fang, I'm Lisa Martin. You're watching theCube's coverage of the AWS startup showcase season three, season two episode three, leave it right here for more great coverage on theCube, the leader in live tech coverage.

(techno music) [Announcer] Live from Las Vegas, its the Cube! Covering Fortinet Accelerate 18. Brought to you buy Fortinet. >> Welcome back to the Cube's continuing coverage of Fortinet Accelerate 2018. I'm Lisa Martin joined by my cohost Peter Burris, and we have a very cozy set. Right now, I'd like to introduce you to our next guests, Daniel Bernard, the vice-president of business development for SentinelOne, and Basil Habib, you are the IT director at Tri City Foods. Gentleman, welcome to the Cube. >> Great to be here, thanks. >> We're excited to have you guys here. So first, Daniel first question to you. Tell us about SentinelOne, what's your role there, and how does SentinelOne partner with Fortinet? >> Sure, I run technologies integration and alliances. SentinelOne is a next generation endpoint protection platform company. Where we converge EPP and EDR into one agent that operates autonomously. So whether its connected to the internet or not, we don't rely on a cloud deliver solution. It works just as well online and offline. And we're there to disrupt the legacy AV players that have been in this market for 25 years with technology driven by artificial intelligence to map every part of the threat life cycle to specific AI capabilities, so we can stop attacks before they even occur. >> And your partnership with Fortinet, this is your first Accelerate, so talk to us about the duration of that partnership and what is differentiating-- >> Yeah. >> Lisa: For you. >> Its great to be here at Accelerate and also to work with Fortinet. We've been working with them for about a year and a half, and we're proud members of the Fortinet Security Fabric. What it means to us is that for enterprises, like Tri City Foods that we'll talk about, a defense and depth approach is really the way to go. Fortinet, leading edge, network security solutions. We have a very meaningful and exciting opportunity to work with Fortinet, given the breadth of our APIs. We have over 250 APIs, the most of any endpoint solution out there on the market. So the things we can enable within Fortinet's broad stack is really powerful. Fortinet has a lot of customers, a lot of endpoints in their environments to protect. So we're proud to partner with Fortinet to help go after those accounts together. To not only go into those accounts ourselves but also strengthen the security that Fortinet is able to offer their customers as well. >> If we can pivot on that for just a second. How do you-- how does SentinelOne help strengthen, for example, some of the announcements that came out from Fortinet this morning about the Security Fabric? How do you give an advantage to Fortinet? >> Sure. So where we come in, is we sit at the endpoint level and we're able to bring a lot of different pieces of intelligence to core and critical Fortinet assets. For example, with the Fortinet connector that we are going to be releasing tomorrow, so a little sneak peek on that right here on the Cube. The endpoint intelligence is actually through API to API connections able to go immediately into FortiSandbox and then be pushed to FortiGate. And that's in real time. So, whether an endpoint is inside of a network or running around somewhere in the world, whether its online or offline, a detection and a conviction we make through the SentinelOne client and the agent that actually sits on the endpoint, all the sudden is able to enrich and make every single endpoint inside of a Fortinet network much smarter and prone and also immune from attacks before they even occur. >> So as you think about that, how does it translate into a company like Tri City which has a large number of franchises, typically without a lot of expertise in those franchises, to do complex IT security but still very crucial data that has to be maintained and propagated. >> Well from Tri City's perspective, we look into security environment. And when you look into the Security Fabric between Fortinet and SentinelOne, that really helps us out a great deal. By looking into automating some of theses processes, mitigating some of these threats, that integration and the zero-day attack that can be prevented, that really helps us out day one. >> So tell us a little bit about Tri City. >> Well Tri City Foods is basically the second largest Franchisees for Burger King. We currently have approximately about 500 locations. Everybody thinks about Burger King as just the, you know, you go purchase Whopper. But nobody knows about all of the technology that goes in the back and in order to support that environment. You look into it, you got the Point of Sale, taking your credit card transaction, you got your digital menu board, you got all of the items in the back end, the drive-through. And we support all of those devices and we ensure that all of these are working properly, and operating efficiently. So if one of these devices is not functioning, that's all goes down. The other thing we do is basically we need to ensure that the security is up, most important for us. We're processing credit card transaction, we cannot afford to have any kind of issue to the environment. And this is, again, this is were SentinelOne comes into the picture where all of our devices down there are protected with the solution, as well as protecting the assets with Fortinet security. >> So I hear big environment complexity. Tell us about the evolution of security in your environment. You mention SentinelOne but how has that evolved as you have to, you said so many different endpoints that are vulnerable and there's personal information. Tell us about this evolution that you helped drive. >> The issue I put an end to when I first started on that is, we had the traditional antivirus. We had traditional antivirus, its just basically protecting what it knows about, it did not protect anything that is zero-day. We got in a head to a couple ransom wares. Which we are not willing to take any chances with the environment. That evolution came through as, no we cannot afford to have these type of system be taken down or be compromised. And we do like to assure the security of our clients. So this is, again, this is where we decided to go into the next gen and for protection. Ensuring the uptime and the security of the environment. >> But very importantly, you also don't have the opportunity to hire really, really expensive talent in the store to make sure that the store is digitally secure. Talk a little bit about what Daniel was talking about, relative to AI, automation, and some of the other features that you're looking for as you ensure security in those locations. >> The process to go down there is basically, we cannot expect everybody to understand security. So in order-- >> That's a good bet! (laughing) >> So in order to make-- >> While we're all here! >> That's right! >> So in order to make it easy for everybody to process the solutions, its best if we have to simplify as much as possible. We need to make sure its zero touch, we need to make sure that it works all the time, irrelevant to if you are on the network or off the network. We needed to make sure that its reliable and it works without any compromise. >> And very importantly, its multibonal right? It can be online, offline, you can have a variety of different operator characteristics, centralized, more regional. Is that all accurate? >> Multi-tenant, on-prem. >> Definitely. With every location, you got your local users, you have your managers, the district managers, they are mobile. These are mobile users that we have to protect. And in order to protect them we need to make sure that they are protected offline as well as online. And again, the SentinelOne client basically provided that security for us. It is always on, its available offline, and its preventing a lot of malware from coming in. >> Talk to us about, kind of the reduction in complexity and visibility. Cause I'm hearing that visibility is probably a key capability that you now have achieved across a pretty big environment. >> Correct. So, before with the traditional antivirus, you got on-prem solution. On-prem solution, in order to see that visibility, you have be logged in, you have to be able to access that solution, you have to be pushing application updates, signature updates, its very static. Moving into SentinelOne, its a successful solution. I don't have to touch anything, basically everything works in the background. We update the backend and just the clients get pushed, the updates get pushed, and its protected. I only have one engineer basically looking after the solution. Which is great in this environment. Because again, everywhere you go, up access is a big problem. So in order to reduce the cost, we need to make sure that we have that automation in place. We need to make sure that everything works with minimal intervention. That issues were mitigated dynamically without having any physical intervention to it. And this where the solution came in handy. >> So I'm hearing some really strong positive business outcomes. If we can kind of shift, Daniel, back to you. This is a great testimonial for how a business is continuing to evolve and grow at the speed and scale that consumers are demanding. Tell us a little bit on the SentinelOne side about some of the announcements that Fortinet has made today. For example, the Security Fabric, as well as what they announced with AI. How is that going to help your partnership and help companies like Tri City Foods and others achieve the visibility and the security that they need, at that scale and speed that they demand. >> Yeah I think Fortinet has very progressive approach when it comes to every part of their stack. What we see with the Fortinet Security Fabric is a real desire to work with best of breed vendors and bring in their capabilities so that customers can still utilize all the different pieces of what Fortinet offers, whether it be FortiGate, FortiSandbox, FortiMail, all these different fantastic products but compliment those products and enrich them with all these other great vendors here on the floor. And what we heard from Basil is what we hear from our other 2000 customers, these themes of we need something that's simple. With two people on the team, you can easily spend all your time just logging into every single console. Fortinet brings that light so seamlessly in their stack 20, 30 products that are able to be easily managed. But if you don't partner with a vendor like Fortinet or SentinelOne and your going into all these different products all day long, there's no time to actually do anything with that data. I think the problem in cyber security today is really one of data overload. What do you do with all this data? You need something that's going to be autonomous and work online and offline but also bring in this level of automation to connect all these different pieces of a security ecosystem together to make what Fortinet has very nicely labeled a Security Fabric. And that's what I believe is what's going inside Basil's environment, that's what we see in our 2000 customers and hopefully that's something that all of Fortinet's customers can benefit from. >> Basil, one of the many things that people think about is they associate digital transformation with larger businesses. Now, Tri City Food is not a small business, 500 Burger King franchises is a pretty sizable business, when you come right down to it. But how is SentinelOne, Fortinet facilitating changes in the in-store experience? Digital changes in the in-store experience? Are there things that you can now think about doing as a consequence of bringing this endpoint security into the store, in an automated, facile, simple way that you couldn't think about before? >> Actually yes, by using the Fortinet platform we deployed the FortiAPs. We have the FortiManager, we're looking into, basically, trying to manage and push all of the guest services, to provide guest services. Before we had to touch a lot of different devices, right now its just two click of a button and I'm able to provide that SSID to all of my stores. We're able to change the security settings with basically couple clicks. We don't have to go and manage 500 locations. I'm only managing a single platform and FortiManager, for instance, or FortiCloud. So this is very progressive for us. Again, when you're working with a small staff, the more automation and the more management you can do on the backend to simplify the environment, as well as providing the required security is a big plus for us. >> There's some key features that we've brought to market to help teams like Basil's. A couple ones that come to mind, our deep visibility capability where you can actually see into encrypted traffic directly from the endpoint, without any changes in network topography. That's something that's pretty groundbreaking. We're the only endpoint technology to actually do that, where you can actually threat hunt for IOCs and look around and see 70 percent of traffics encrypted today and that number is rising. You can actually see into all that traffic and look for specific data points. That's a really good example, where you can turn what you use to have to go to a very high level of SOC analyst and you can have anybody actually benefit from a tool like that. The other one that comes to mind is our rollback capability, where if something does get through or we're just operating in EDR mode, by customer choice, you can actually completely rollback a system to the previously noninfected, nonencrypted state directly from that central location. So whether that person is on an island or in Bermuda, or sitting in a store somewhere, if a system is compromise you don't need to re-image it anymore. You can just click rollback and within 90 seconds its back to where it was before. So, the time savings we can drive is really the key value proposition from a business outcome standpoint because you need all these different check boxes and more than check boxes, but frankly there's just not the people and the hours in the day to do it all. >> So, you said time savings affects maybe resource allocation. I'm wondering in terms of leveraging what you've established from a security standpoint as differentiation as Tri City is looking to grow and expand. Tell us a little bit about how this is a differentiator for your business, compared to your competition. >> I cannot speak to the competition. (all laughs) What I can speak to is, again, the differentiator for us as Daniel mentioned is basically, again, the automation pieces, the rollback features. The minimizing the threat analyses into the environment. All these features basically is going to make us more available for our customers, the environment is going to be secure and customers will be more than welcome to come into us and they know that their coming in their information is secure and their not going to be compromised. >> Well are you able to set up stores faster? Are you able to, as you've said, roll out changes faster? So you do get that common kind of view of things. >> We're at zero zero breach. >> We're at zero zero breach yes. So, basically, in order through a lot faster, we do it lock the source faster. We basically, with the zero touch deployment, that Fortinet is offering, basically send the device to the store, bring it online and its functional. We just push it out the door and its operational. With the SentinelOne platform, push the client to the store and set it and forget it. That is basically the best solution that we ever deployed. >> Set it and forget it. >> I like that. >> Set it and forget it. >> That's why you look so relaxed. (laughs) >> I can sleep at night. (all laugh) >> That's what we want to hear. >> Exactly. So Daniel, last question to you, this is your first Accelerate? >> It is our first Accelerate. >> Tell us about what excites you about being here? What are some of the things that you've heard and what are you excited about going forward in 2018 with this partnership? >> Yeah, well as we launch our Fortinet connector tomorrow, what really excites me about being here is the huge partner and customer base that Fortinet has built over the last 20 years. Customers and partners that have not only bought the first time, but they're in it to win it with Fortinet. And that's what we are too. I'm excited about the year ahead and enabling people like Basil to be able to sleep on the weekends because they can stitch they're security solutions together in a meaningful way with best of breed technologies and we're honored to be part of that Fortinet Security Fabric for that very reason. >> Well gentleman thank you both so much for taking the time to chat with us today and share your story at Accelerate 2018. >> Thanks a lot. >> Thank you. >> For this cozy panel up here, I'm Lisa Martin my cohost with the Cube is Peter Burris. You're watching us live at Fortinet Accelerate 2018. Stick around we will be right back. (techno music)