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AIs Compress Exploit Timeline

Schneier on Securityby Bruce Schneier ()1 min read3 · 3 reads
AI summary · glm-5.3-flashSummaries by Vani AI

Schneier argues AI agents can find working exploits from mere rumors of a vulnerability, forcing changes to open source embargo practices.

Bruce Schneier reports that AI agents can locate and develop exploits for vulnerabilities given only a rumor or rough description of the issue, potentially before the public patch ships. He and commenters Simon Willison and Anil argue this discovery speed is incompatible with existing open source embargo practices for coordinated disclosure. The piece calls for redesigned security response processes to keep open source communities safe.

Key facts
  • AI agents can derive working exploits from only rumors of a vulnerability
  • Exploitation may now precede public patch availability for open source projects
  • Authors argue coordinated embargo and disclosure practices need redesign for AI-speed discovery
  • Agents need only approximate knowledge of an issue to reproduce it
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From the original article

1 min read at schneier.com

Give an AI agent a mere rumor of an exploit, and it’s enough for them to find it. What’s worse, I found I could use my own agents to find the exploit just by knowing roughly what it was about and so could have been exploiting it well before the public patch was available!

Schneier on Security

By Bruce Schneier · schneier.com

Read the full article at Schneier on Security

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.