Cognition’s security chief warns that AI-assisted attackers are outpacing a multibillion-dollar defense industry.
Alex Stamos, chief security officer at Cognition and a lecturer at Stanford University Cyber Policy Center, says AI has upended the cybersecurity industry. In a Decoder interview with Nilay Patel, Stamos described a security landscape where attackers use AI to find and exploit vulnerabilities at the same time. He calls the current period a dark age for defenders.
Stamos frames the moment as a frontier era reminiscent of the 1990s, when constant connectivity first arrived. Private actors and state actors in Russia and North Korea are breaking into systems with AI assistance. The multibillion-dollar security industry, he argues, has fallen overdue for disruption.
For builders and operators, the shift widens the set of places where intruders can gain access. Recent bugs in PHP and Node show how quickly widely used components become liabilities. Security teams must treat vulnerability discovery and exploitation as simultaneous events rather than sequential ones.
Stamos expects the adjustment to take time and describes a difficult stretch before defenders adapt. The conversation also covers how AI-generated misinformation and low-quality content might be managed on social networks. Operators should watch how security practices change as AI tools spread across both attack and defense.
What matters
- Stamos told Decoder that AI tools help attackers find and exploit software flaws at the same time.
- Security teams now face more entry points as private and state actors scale their break-ins.
- Watch for fixes to recent PHP and Node bugs and for how firms adapt their security defenses.
Why it matters
Watch for fixes to recent PHP and Node bugs and for how firms adapt their security defenses.
This GenAI News article was prepared in original wording using reporting and materials published by The Verge. Source reference: https://www.theverge.com/podcast/1029038/ai-cybersecurity-hackers-data-breach-dark-age-alex-stamos.
Drafted by the GenAI News review pipeline.
