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30 days with Claude Mythos Preview: How Tenable adapted our security program, and why yours is next
August 3, 2026 · Tenable Blog · Severity: HIGH
Tenable spent 30 days running frontier AI models against its own code, finding that the AI could build working exploits to prove which flaws are genuinely dangerous. This shifts code security from ranking potential defects to focusing on confirmed, actionable findings. The article emphasizes that while the AI gets attention, the real durable asset is the harness system that orchestrates exploit generation, and that senior researchers remain essential for threat modeling.
Key Takeaways
- Frontier AI proves code flaws with reproducible exploits, not just ranked suspicions.
- The durable security asset is the harness, not the AI model itself.
- Frontier AI amplifies senior researchers' productivity but doesn't replace their judgment.