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Interview with Kunal Anand, Prevoty’s CTO & Co-Founder:
Where did you start your career and how did you gain the experience needed to run the tech side of your company?
I started my career as a Software Engineer at the Jet Propulsion Laboratory, a NASA Space Center located in Southern California. In my role, I got to work on a combination of business applications and space/mission software. It was great to experiment with novel programming languages and homegrown frameworks – and there were plenty! The most important lesson I learned was how to work with a multi-disciplinary team at the rapid pace of business. I’m grateful to the many managers and mentors I had to help me learn the characteristics to become a leader.
From a technologist’s perspective, what’s unique and game-changing
about your technology?
At Prevoty, we’ve developed a technology that automates security controls and intelligence from within applications. We’ve taken it a step further by marrying an application’s context with a language theoretic methodology (LANGSEC) that doesn’t rely on past definitions and signatures. This approach is the reason that Prevoty’s runtime security solution can work in production and at scale (processing millions of requests per second). The technology works across polyglot environments (.NET, Java, Ruby, Python, Node, PHP, etc.) and different kinds of apps (web apps, web services, micro-services, third party apps, etc.).
Tell us about your favorite implementation of your solution/technology.
Of the dozens of implementations, a few of my favorite include: A) a global payments provider that processes millions of RPS, B) the world’s largest e-commerce and retail stores – you can imagine the threat landscape and scale during Cyber Monday, and C) an innovative health care provider (Oscar). All of our customers are doing very novel things with our intelligence: some are using it to automate an overall defense network (coordinating with other technologies/products/services) while others are using it to prioritize secure coding work or build a risk heat map across the organization.
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