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Open source AI models match proprietary tools for bug finding, expert says

Ari Herbert-Voss, CEO of RunSybil and OpenAI's first security hire, stated at Black Hat Asia that open-source AI models can identify software vulnerabilities as effectively as Anthropic's proprietary Mythos model. He explained that by using multiple open-source models in conjunction, organizations can achieve comparable results to Mythos, especially when considering the high cost and restricted access to Anthropic's offering. Herbert-Voss emphasized that human expertise remains crucial for orchestrating these models and validating their findings, suggesting that AI will augment rather than replace security professionals. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Open-source models can match proprietary AI bug-finding capabilities, potentially lowering costs and increasing adoption for security teams.

RANK_REASON Expert opinion from a credible source on the capabilities of open-source AI models compared to proprietary ones.

Read on The Register — AI →

Open source AI models match proprietary tools for bug finding, expert says

COVERAGE [1]

  1. The Register — AI TIER_1 · Simon Sharwood ·

    It's a myth that you need Mythos to find bugs: Open source models can do it just as well

    <h4>OpenAI's first security hire, Ari Herbert-Voss, thinks more automated bug finding will improve security without costing jobs</h4> <p><strong>Black Hat Asia</strong> Open source models can find bugs as effectively as Anthropic's Mythos, according to Ari Herbert-Voss, CEO of AI…