TL;DRAI makes it trivially easy for anyone in an organization to deploy internet-facing applications, often outside established security processes. CyCognito CEO Rob Gurzeev says the resulting blind spots are more dangerous than known vulnerabilities. His answer: continuous, outside-in attack-surface mapping that validates what is actually exploitable rather than scanning a known asset list.
Artificial intelligence is transforming how software is built, deployed, and secured. While AI has accelerated innovation across industries, it has also expanded the number of internet-facing assets organizations need to protect. According to Rob Gurzeev, CEO and Co-Founder of CyCognito, the challenge is no longer just identifying known vulnerabilities. It is understanding what is actually exposed, how those assets connect, and how attackers can exploit them.
Drawing on years of experience in cybersecurity and intelligence, Gurzeev believes many organizations still operate with an incomplete view of their attack surface. That gap, he says, is becoming more dangerous as AI makes it easier than ever to create and expose new applications.
A security mindset built on finding the unknown
Gurzeev’s path into cybersecurity began long before AI entered the picture. As a teenager, he spent time exploring computers and Internet Relay Chat (IRC) communities, where curiosity about hacking first took hold. That interest eventually led him to an intelligence unit, where he worked on reconnaissance and attack-surface operations.
