 Hello everyone and welcome back to navigating the road to cyber resiliency a summit made possible by Dell Technologies Jaspreet Singh is in the house CEO of Druva. Good to see you face-to-face. Good morning. Thank you having me here You bet. What's happening with Druva? Give us the update on the current state of data protection. It's great to see you Thank you having me here a lot is happening with data and data protection as we know it like as you see the world around us There are many many many cyber threats Happening with different political scenarios with different You know different motivation by different hacker groups or different intruders and and data is in the center of all of this And data is a centipening focus of many Hackers and attackers and and how you recover how you save card data Becomes an interesting factor for Druva. So we've been active and busy with all the cyber is around us Talk about this resilience piece in the recovery. Why is it getting so much traction right now? What's the focus? Why are people trying to figure this out? And what are they discovering as they look at the landscape for cyber resilience and cyber recovery? Absolutely. So look last 30 years of security We have spent a humongous amount of effort trying to detect and prevent Threats happening at once threats with some type happening at the endpoint level at the network level at the application level But we all realize more and more that security incidents are more a race condition, right? One vulnerability left unaddressed one application remains unpatched one network has a plug-hole, you know The intruder comes in when they come in The insider and intruder Are dominated the same, you know same personality as they it's through a credential leak how the intruder came in Right. So as a race condition is met and intruder comes in People haven't really thought through how the recovery piece Holistically happens and how recovery happens in Conjecture in in in confidence and in completely comparison with their security remediation, right? So cyber resiliency is all about how do you make sure? Recovery and security work together to make sure data and application are up and running in time and at scale Okay, so we saw that you know IDC had you in the market scape as a cyber recovery leader I want to ask you a some my semi tough question There's there's companies in the business that have pivoted and it said okay now. We're in security Talk about your roots in this space in terms of recovery you keep talking recovery and and convince us that it's not just a sort of cyber Security washing. Absolutely. It's a great question. So if you look at the holistic view of data prediction What was the roots of Drava and many of those are a domain like You can pretty much look at the market and in sort of Historically in two big buckets right the one big bucket being can I buy a software to sort of you know deploy it myself? Right and which and you had many many good companies doing a good software base approach And then the world thought you know Can I buy hardware and software a little bit more Integrated and have a better technology managing my data center and data Holistically and then he had many good examples and a deli is a great example to managing integrated Software hardware approach to managing data at scale right but then what when the equation is turning more and more to a security conversation The security conversation. What is the toughest part of cyber security today? It's how you operationalize the tools It's not buying one more tool. It's not getting one more alert How are you gonna holistically manage your risk better and a personalize better to the world last for a third choice thing Can I rather than buying hardware and software can I buy a service model? Which has a better levels to a personalize my entire data posture on my security posture holistically and that's been whole Drava's existence all throughout, you know, we launched the first cloud offering about 10 years ago And we consistently following and growing a footprint around a very sass oriented way to manage data and manage all Aspects of risk around it and we the only one pure play true to our cause and and delivering customers the outcome They want and not one of one more tool in the arsenal to manage motorists. I remember in 2017 when you first came on Can we actually just moved into the studio? It was early you guys were early in cloud a diverse specifically you guys just recently got an award for 80s global Storage partner of the year. Congratulations. Also crossed 200 million in sass revenue The clouds a major part of what you guys do obviously now get distributed computing you got on-premises and edge emerging Jenner VI is hot as could be roll of data is going to be critical How are you guys differentiating yourself now in this field because like Dave mentioned it's kind of crowded people Are kind of pivoting and you know washing this that and the other thing but the most part It's a really focused market on the data protection threat detection. It's all kind of coming together What's your differentiation right now as you look at this next wave of cloud and distributed computing absolutely? So so most people think of cloud as a sort of at least most in our space think of cloud as a technology Sort of you know a trend we think of cloud as not just technology but also business trend right people are not Only buying cloud they're buying the goodness of cloud right they wind the goodness of cloud Can I buy just in time? Can I can I scale on demand as I go across the globe? Can I can I predictively pay pay for a SLA and more critically for security? Can I pay for an SLA at the same price point across the globe right? It's a beauty of a model. We've scaled the business globally. We support the humongous amount of more regions We did about six billion backups with you know more procession than anybody in the market So our scale our maturity we added more and more certifications We got Fedram certified and going through a certification more and more So the scale maturity and the offering to truly deliver a customer outcome Far more critical than just another tool is what you've been positioned after and we've scaled and matured as business more than anything And yes, yeah, it's a very very interesting question because AI More and more the discussion or an AI our discussions also centered around the data and the data architecture and And I think AI helps in both the ways like your your tasks of managing security and data Often are extremely manual extremely painful and AI can definitely help in many many areas at the same time a lot of general purpose AI deployment trust and require you to have a centralized data architecture which is where cloud is also coming David I were talking on the intro around the title of this event and you know navigating the road to cyber resilience and the word navigation Prompt discovery people have to discover What architecture and you mentioned that what is the discovery? Point right now for practitioners as they look at this next-gen architecture because you want to set up for data as a competitive advantage But also it's a competitive advantage to be targeted. So what is some of those discovery challenges? Yeah, it's a fantastic question So, you know Majority of if you have a CIO conversation a CISO conversation if you ask them Like where have you been deploying your cyber resiliency practice and they go into a zero-trust network effort They go into vulnerability management effort, right? But then if you pivot the conversation saying that that's great, but where is your biggest risk in the business, right? And then they would pivot saying hey my biggest risk is my IP and and potentially my customer contracts Or you know some of those if you are a pharma company probably your critical research Now the the conversation is mr. Customer. How do you differentiate your source code from third-party source code? You know, how do you differentiate your contract with the third-party contracts? How do you differentiate your research and the consent you have in the research then a third-party research, right? So data is far more connected now than ever in the past, right? But then this is where true understanding of my data What is my data comes into picture for understanding as the data gets more and more Decentralized to your point as it deploy more cloud more edge more services data management and data security has to get more And more centralized so you have a single view of your data assets You can then if once you have a single view you can understand them better You can then notify on on things like breaches better and you can assess your risk are far more better So the more distributed technology gets the harder it is to keep it in sync. Does AI help with this? You guys have AI solutions you mentioned You know backups before a lot of backups fail is AI going to say hey this backup failed I'm going to be a systems of agency and actually take action and complete that backup where how should we think about the real impact on the experience of Cyber resilience and recovery. It's a great point and we call it internally the AI of things right like how do we the simplistic tasks of Managing your IT stack of your data stack can be managed through AI better, right? Like when men mobile came into picture, right? There wasn't a brand new mobile company well They were few but broadly almost everything we did from Salesforce to accessing application became more Mobilized right became better mobile friendly mobile first approach happened, right? So not a lot of AI first approach happening across the market. What does it mean for? Something like drover right so that the multiple factors on it like how do we deliver value and what customers can do on our platform? How do we deliver value to manage data there humongous amount of manual tasks around to your point? Can you can you pass through my logs? Can I become okay? Can I configure better policies? Can I handle it better? And yes, we we also launched something called drew AI we were probably last to high but the first two results We launched a successful co-pilot which could pass through your log as a customer not any generic log But your logs and identify particular error codes in those logs correlated product documentation and come back with recommendation And then you could even put into effect so very elegant and beautiful model to manage a data We also know on the other hand working through what do customers need from the data We are storing for them to power through their gen AI efforts within the company as well So so it's high fidelity data even though it might be messy as it's logs Is that a is that a rag that you've developed is that sort of a some kind of custom domain specific LLM What actually is that so you have to the LLMs for the broad range and they are many they are large their medium They're small Language models are coming in many forms and shape the first of all you have to understand what are the With the AI washing happening across the market the first and fundamental problem to solve is what are the top four or five Customer concerns which are possibly solved through AI right that's number one thing Otherwise technology is not for no use right once you understand those problems deeply then you understand who which system of record Has the best knowledge of it? How do I bring that system online and connect it to an LLM right? And then once you bring the system online How are the systems navigate and how do you manage security in privacy that while you pass on the customer information? And they're probably series of algorithm and series of question answers happening to resolve the outcome Which information is okay to pass on and which API should be better sealed it? What is a boundary of this language border to do and they build all those hard level and then finally how do you test it? How do you make sure it is predictable? It doesn't hallucinate. How do you make sure there's a QS system around it? So there's a whole new thinking around the interface interface to an application Will radically chain with this new gen AI approach and as we thought through all over again in terms of how the things connect How they test it and how they deliver the actual outcome you want. So it's more than just a narrow app Right, it sounds like an end-to-end system that you've embedded into your software and the domain knowledge along with it saying look This is the right answer the wrong answer go look here go prioritize this and then the Jenny I takes over and there's a beauty of the Jenny I model It's a very text oriented model to learn and grow along with your needs and desires very cool And this helps you up with your edge deployments and this distributed challenges. Well, absolutely So I think the broader the cloud gets to the edge and the other domains the the handling of data gets more error-prone Which is where you know a lot of AI-oriented systems can get or can bring automation at the same time Can can help sort of solve these long-tail problems of managing information? So you and I sat down with Travis V Hill from Dell last week We're going to be running that later on so you know you don't want to miss that but Explain just give us a little teaser. Why is that relationship so important? To customers like why should they care? Well any partnership has to be customer first, right? So if you look at if you look at Dell strategy around apex and bringing everything Dell as a service to the end customer And if you look at Dell's core domain and DNA It's it's how do how do they actually do the best job in data center and to the cloud? But starting with data center and really offer best of each services there, right? This the customer has a need and desire to solve have a best outcome in data center and the best outcome in cloud Right, so then do a partnership brings these two best of breed solutions together in a core portfolio under the same Umbrella of apex services where the customer likes and desires and wants to consume more and more in so ultimately Customer has a better choice and wins overall and you know, I actually said it's part of this program It's not part of this program. It's actually on our YouTube channel already We already released that so you might want to go check out youtube.com slash silicon angle And check that out. So thanks for doing that by the way and I appreciate the explanation. So look you've Had a long history in this space What are the things that customers should be thinking about that are that are maybe non obvious? You know some of the threats that are coming some of the how can they anticipate? What would you recommend in terms of customers thinking about all right the next four or five years? These are the things that we have to be concerned about whether it's you know, the uncertainty around AI Obviously the threat actors are getting more and more sophisticated. Where would you point customers in the future so they can prepare? Yes, a data. That's a phenomenal question So data I'm going to give an analogy to make my point here data is becoming so connected tissue in the organization To me when an incident happens when something happens around a company, it's that last supper You know where everybody is leaning forward and and you don't know who the last culprit was but everybody's leaning forward to sort of You know pay attention to a particular conversation happening right a data incident pulls in Legal pulls in privacy pulls in security pulls in infrastructure A lot of people come into to understand what might be the impact of the organization and today these departments Don't talk to each other. There's no single. There's no there's no single pane of glass to understand where was the first fault Who has the biggest impact and how's gonna all transcend? I think our recommendation to customers is that data and backups are not just a problem of a backup team The as as investments have gone deeply into detection and prevention They must go deeply into response and recovery and these Multiple silos organizations must talk to each other right the best thing could happen to a backup admin was to get fired Right. There was no nothing ever good came off a backup admin, right? So they never shared the data with anybody else So if while all the single source of truth was happening in the backup data There was never a confidence of discussion between security privacy and legal into that data and Rebring that truth to life by making the system connected in the cloud very actionable insights around the data My final question for you on this segment is as we've gotten to know you over the past six years on the cube I'll see ten years when you stop started the company a lot's changed the role of data and the importance certainly hasn't if anything It's become more Critical and more central to the value proposition for companies clearly Genevieve. I points to that and we've been reporting on At the cube what's changing in data as we look at down that road that we're going to be navigating The cyber resilience. What are the data challenges? What changes does the script flip does? Because if you think about what we're envisioning here, you got to build governance from day one You got to have all that stuff now integrated not siloed. So you got to let data scale out You got any data is gonna be automated. So the role of data will be a developer construct an application construct with Genovi So what's your vision on that road ahead for data the role of data what changes what stays? Yeah, to understand data. That's a great question again to understand data We must look at must understand the growth of and portfolio of applications, right? And we also must understand the use of data or this threaten data, right? So when you started off like when ten years ago when you build the first cloud offering the the broad the broad Set of application we used to talk to an admin about or a customer about like four to five dominant applications, right? Now it's down to like thirty five thirty six applications Which are like the call it the the spring of all the sass I might be more chill Oh, right, and now with the Jenny. I like Anybody can write an app with text You don't have to be a programmer You can write a text query and that becomes an application right with the new Amazon announcements and an open AI announcements, right? So new apps are text which means that the application will change Greatly and and will transform data right number two You got to look at like 90% of all data produced the whole of this year was actually unstructured data So data is not still while applications are changing data itself is a lot more unstructured Coming from machines or humans, but unstructured data or semi-structured data for the more degree number three threats are evolving rapidly, right? Threats used to be dominantly focused on a malware or a third-party threat have coming in now We have government issued orders. We have war crimes. We have insider threats We have systematic issues. We have API as and triggers calling mass functions. So Data is obviously growing but rapidly changing hands rapidly changing application rapidly growing into more and more threats The job gets complex, but that's why we have to you know, just be we're out of time I'd love to have you back and pick your brain a little bit about the the investment climate starting companies You know what you would advise so thanks so much for coming on absolutely. Thank you very much All right, keep it right there. You're watching navigating the road to cyber resiliency This is a summit made possible by Dell Technologies up next. We're going to talk to Herb Kelsey He's the lead at Dell Technologies for a thing called project Fort zero, which was announced in May of 2023 at Dell Tech World it's going to talk about the progress from date to date and Specifically a real challenge. How do you operationalize zero trust? Keep it right there