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This report highlights a significant milestone where AI agents autonomously synthesized a complex, full-chain browser exploit within six days, demonstrating the accelerating capability of LLMs to bridge multiple software vulnerabilities. The incident underscores both the efficiency gains for security researchers and the emerging risk that advanced models can rapidly construct sophisticated attacks against critical infrastructure like Chrome.
Source coveringCybersecurity News
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Google Awarded $250,000 Bounty for a Full-chain Chrome Exploit Found Using GPT-5.6

Cybersecurity News3 min read

Security researchers earned a $250,000 reward from Google after building a full-chain Chrome exploit with AI agents. The XBOW team says the work took six days and about $40,000 in computing costs, using OpenAI’s publicly available GPT-5.6 Sol model. Google has fixed the flaws. XBOW disclosed the work on October 13, 2026. Its chain linked […] The post Google Awarded $250,000 Bounty for a Full-chain Chrome Exploit Found Using GPT-5.6 appeared first on Cyber Security News.

XBOW says its security researchers earned a $250,000 reward from Google after building a full-chain Chrome exploit with AI agents. The team says the work took six days and about $40,000 in computing costs, using OpenAI’s publicly available GPT-5.6 Sol model. Google has fixed the flaws. XBOW disclosed the work on October…

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