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title: AI-Discovered Security Flaws Are Not Yet Translating...
description: VulnCheck researcher Patrick Garrity analyzed data from Anthropic's Claude Mythos and the Berkeley Vulnerability Research Initiative, finding that only 1.3% of...
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og:description: VulnCheck researcher Patrick Garrity analyzed data from Anthropic's Claude Mythos and the Berkeley Vulnerability Research Initiative, finding that only 1.3% of...
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# AI-Discovered Security Flaws Are Not Yet Translating into More Exploitation

**[Security Boulevard](https://daily.dev/sources/securityboulevard)** · 5 min read · 0 upvotes · 0 comments

## Summary

VulnCheck researcher Patrick Garrity analyzed data from Anthropic's Claude Mythos and the Berkeley Vulnerability Research Initiative, finding that only 1.3% of 1,061 AI-discovered vulnerabilities have been exploited in the wild — a rate no higher than traditionally discovered flaws. Despite industry fears that frontier AI models like Mythos and OpenAI's equivalents would trigger a wave of attacks, the current evidence suggests defenders are benefiting more than attackers. Of 23,019 findings from Anthropic's Project Glasswing, only 126 became CVEs and just one was confirmed exploited. Researchers caution the risk remains real as more powerful models emerge, but say the threat is currently overhyped relative to actual impact. Meanwhile, industry alliances like Nvidia's Open Secure AI Alliance and ExtraHop's Agentic SOC Alliance are forming in response to AI-driven security concerns.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://securityboulevard.com/2026/07/ai-discovered-security-flaws-are-not-yet-translating-into-more-exploitation>

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