← back
The AI bugpocalypse is here. Now what? - Jack Cable, Corridor
Takeaway
Apply AI to structural vulnerability prevention so defensive improvements keep pace with faster code generation and exploitation.
Summary
- AI coding increases software volume while frontier models improve vulnerability discovery and automated exploitation.
- Cable argues that many newly discovered flaws belong to longstanding vulnerability classes with known systemic defenses.
- Memory-safe languages illustrate secure-by-design prevention; the talk cites Android’s reduction in memory-safety issues as new code adopted safer languages.
- Defenders should use AI to harden systems and prevent recurring classes of bugs, extending beyond individual vulnerability discovery.
secure-by-designmemory-safetyai-security
Original description
Something shifted in the past year that most security teams haven't fully reckoned with yet: AI models can now find serious vulnerabilities in production code, at scale, with minimal human skill required. Not in toy examples. In libraries that have been reviewed hundreds of times by the best researchers in the world. Jack Cable, Co-Founder and CEO of Corridor, will walk through what this means for the 80% of organizations that have never had to defend against adversaries doing in-house vuln discovery: where the real exposure is, what the available playbooks actually get right, and what concrete steps security teams can take right now to reduce their blast radius before open-weight models make this everybody's problem. Speakers: Jack Cable (Corridor): Jack Cable is a hacker who serves as the Co-Founder and CEO at Corridor, the security platform for AI coding. X/Twitter: https://x.com/jackhcable LinkedIn: / jackcable