Dan Hubbard Lacework Ceo on Cloud Security Cybersec Threats and Ai in SafetyByGabriela Vatu-July 20, 2019.239 We might like to believe that the devices we use online and the websites we visit are secure, but that’s not really the real thing. Dan Hubbard is a guy who has worked for a good chunk of his life as a security engineer so he’s very familiar with all of these. We had a talk with Dan Hubbard about Ai and machine learning cybersec threats, and their role in keeping us safe and more. TechNadu: Let’s start with something worth telling us about yourself and your journey so far. How did you end up as Ceo Lacework? Dan Hubbard: I’ve had the pleasure of working in the tech and security industry with some incredible people over the last 25 years. Early in my career, the group around me was fascinated by the cybersecurity sector and the constant challenge of defending in a very complex changing environment. I was the Chief Product Officer before being the Ceo at Lacework, and before that Cto of Cisco Cloud Security Cto OpenDns and Cto of Websense. Major changes and advances in technical architecture have always been a part of my journey. I assume that major security transitions and large markets are built on the healing of major tech transformations with wide flexible surfaces of attack and signs of tactical changes to those technologies. Websense was all about the Web as an attack vector and Web 2.0- and it was about universal networking and SaaS on OpenDns. TechNadu: Clearly Lacework is not the only cloud protection platform on the market. Who separates your brand from its competitors? Dan Hubbard: It is our underlying technology that determines the methodology Lacework uses. More than anything else this is what separates us from other security vendors. Where most security solutions are based on rules the Lacework platform applies machine learning for anomaly detection and vulnerability assessment of an organization’s entire It environment on-prem virtualized cloud containers and anywhere the data lives or transacts. Lacework also provides visibility across the entire build-time to run-time continuum so that vulnerabilities and issues in applications can be detected as they are being developed so they don’t bring those issues into a deployed environment. Ultimately Lacework understands that protection is not a single solution, but an approach that is most successful in providing the most exposure coverage and the most reliable understanding of structured behaviour. TechNadu: How’s the year been so far in terms of the identification of threats? Have businesses that have been covered by your software seen more threats than in the past? Could things get worse? Dan Hubbard: I would like not to reveal details about the security circumstances of our clients, but I can assure you that our customers, which cover a wide variety of vertical sizes geographies and infrastructure strategies, have been very honest with us about how they perceive the risks in their environments much better, along with more context that gives meaning to those threats. TechNadu: What do you find to be the main cybersecurity risks today? TechNadu: Ai and machine learning nowadays play an increasingly important part in security tools. What are some of the things you wish you could use these in the years to come? Dan Hubbard: I am really proud that we can offer continuous real-time anomaly detection and behavioral analysis that is all allowed by machine learning. With this technology at the core of the Lacework Complete Security Framework, customers are able to monitor all event behavior in their cloud environment correlating activity between container applications and users, and report that activity was recycled after containers and other ephemeral workloads for review. This tracking and examination activates automated warnings which are extremely fidelity. Behavioral analytics allow non-rules-based event detection and analysis to be carried out in an environment that is evolving to meet constantly changing operational requirements. TechNadu: If there was one thing companies should be paying attention to in the next 6-12 months what would it be? Dan Hubbard: As more companies shift workloads into the cloud, they will enjoy speed and agility. I expect more companies to implement a DevOps approach to application development so that they can take advantage of their ability to build and execute solutions at speed. As a result, companies will concentrate much more on the build-time element of their It discipline; they will need visibility and anomaly identification in their development operations to get the results they want. Reviews and guides for more Tech news interviews. Google’s Jigsaw Division Introduces Intra Anti-Censorship App
ByNitish Singh-October 3, 2018.240 A security unit owned by Google’s parent company Alphabet has introduced a new program aimed at bypassing censorship sponsored by the State. The app will prevent attacks through manipulation by Dns.