X postGuillermo RauchNews
Slashing scan and evaluation times from several hours to under 50 minutes while maintaining high precision and lower costs directly impacts the speed and viability of automated vulnerability discovery.
The DeepsecBench findings highlight substantial latency improvements in code security evals. GPT-6 Astra shows a notable leap over GPT-5.6 Sol and Claude Opus 5 in both speed and false-positive management. Meanwhile, Rauch's note regarding Fable demonstrates that model refusals and guardrails remain a practical hurdle when applying certain LLMs to offensive security tasks.
Guillermo Rauch
@rauchg · 5 September 2026
Astra is now the best cybersecurity model in the world on @vercel DeepsecBench. It pulls off in 49 minutes what took Sol ~4 hours, with a better score, at nearly the same cost. It's more effective and 50% cheaper than Claude Opus 5 max. t.co/14WK4F7Qhs t.co/zRyGqlZYFo
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View on XSummary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.
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