ABOUT THIS EPISODE
Security leaders count open vulnerabilities in the hundreds of thousands, and in some organizations the number runs past a million. Ondrej Vlcek, Co-Founder and CEO of AISLE, describes teams with no practical route through that backlog while attackers use automation to shrink the time between a disclosure and a working exploit. The question worth asking is what a program looks like when remediation moves at the same speed as exploitation.
What makes AI-driven remediation different from static code analysis? Reasoning replaces pattern matching. Linters and commercial scanners flag code that resembles a known error shape, while a reasoning model infers what the developer intended, compares that intent against the actual implementation, and evaluates how the gap could be abused. Ondrej Vlcek points to business logic flaws, timing errors, and race conditions as the classes that pattern matching leaves untouched.
The judgment behind AISLE comes from a long run in the industry. Ondrej Vlcek wrote device drivers for Windows 95 in 1995 at a seven-person antivirus company called Avast, stayed more than twenty-five years, moved through CTO and COO into the CEO seat, and took the company public before its sale to NortonLifeLock in 2022. He co-founded AISLE in 2024 with Jaya Baloo, a three-time public company CISO, and Stanislav Fort, an AI researcher who worked at DeepMind and Anthropic.
Why does the software supply chain deserve the larger share of attention? Because most of the code in a running application was written somewhere else. Ondrej Vlcek puts the typical enterprise application at roughly ten percent first-party code and ninety percent open source and dependency code, which is also level ground for an attacker reading the same source and pointing the same models at it. Reachability analysis becomes the deciding factor, separating the vulnerable functions your code actually calls from the thousands of transitive dependencies it never touches.
For first-party code, AISLE closes the loop differently: read the documentation, the architectural material, and the threat model, then generate a patch aligned with the project's own conventions and test it automatically. The standard Ondrej Vlcek sets is a fix that reads as though a human maintainer wrote it. The customer spread runs from embedded firmware at Bose to smart contracts at the Ethereum Foundation, where heavily audited and sometimes formally verified code still benefits from another set of checks because the systems touch money flows directly.
This is a Brand Spotlight. A Brand Spotlight is a ~15 minute conversation designed to explore the guest, their company, and what makes their approach unique. Learn more: https://www.studioc60.com/creation#spotlight
GUEST
Ondrej Vlcek, Co-Founder and CEO of AISLE
On LinkedIn: https://www.linkedin.com/in/ondrejvlcek/
RESOURCES
Learn more about AISLE: https://aisle.com
Meet AISLE at Black Hat and DEF CON in Las Vegas: https://aisle.com/black-hat
The AISLE platform: https://aisle.com/platform
AISLE CVE discoveries: https://aisle.com/cve-discoveries
Are you interested in telling your story?
▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full
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KEYWORDS
ondrej vlcek, aisle, sean martin, brand story, brand marketing, marketing podcast, brand spotlight, vulnerability management, vulnerability remediation, agentic ai, cyber reasoning system, software supply chain security, reachability analysis, open source security, application security, first-party code, third-party dependencies, static code analysis, zero-day vulnerabilities, ai in cybersecurity, code patching, embedded firmware security, smart contract security
