AI cybersecurity is a cat and mouse game
Ryan’s conversation with Zscaler CSO Sam Curry explores how human intelligence fits into an AI-driven security landscape, why moving protections closer to applications reduces vulnerability probing, and why stronger, more resilient code infrastructure is the best response to AI-discovered flaws.
MAIN POINTS
- Human intelligence remains essential in security even as AI changes the threat landscape.
- Placing protections closer to applications can limit attackers’ ability to probe for weaknesses.
- AI can uncover vulnerabilities, but resilient code infrastructure is the better long-term defense.
- The discussion centers on adapting security strategy to AI’s impact on both offense and defense.
TAKEAWAYS
- Security teams should treat AI as a force that reshapes, not replaces, human judgment.
- Application-adjacent defenses can reduce exposure to reconnaissance and probing.
- Fixing structural code weaknesses matters more than reacting to each discovered flaw.
- Building resilience into infrastructure is key to staying ahead of AI-enabled attacks.