Autonomous smart-contract security · evidence, not alerts

Attackers have AI agents now. So do you.

Three independent intelligences. One evidence chain. An agentic auditor that finds an attack, proves it in a controlled simulation, tries to disprove its own result, and hands your team a reproducible dossier.

Figures from the current research environment · re-verified before publication

04 · Proof of Work · what your team receives

Not a verdict. An evidence chain.

Every case that survives the full lifecycle is sealed into a dossier that connects each claim to executed tests, measured state changes, a negative control and immutable evidence. Engineers can reproduce it. Insurers and investors can trace it.

  • A clear explanation of what breaks and who is at risk.
  • A controlled, reproducible exploit and its negative control.
  • Measured attacker, user and protocol impact.
  • Independent adversarial review by a separate intelligence.
  • Remediation direction and the tests required to prove the repair.

Reproduced in simulation · ten failure modes

Examples of impact, not a count of affected protocols

What conventional checks can miss.

Smart-contract failures rarely live in one line of code. They emerge from permissions, timing, token behaviour, external calls, arithmetic and live state interacting. Each of these was reproduced end-to-end in a controlled EVM, with the protocol identity withheld.

    Safety · responsible disclosure by design

    Built to help protocol teams. Never to surprise them.

    The machines perform the investigation. Humans keep the one boundary that should never be automated: disclosure to the affected team.

      Why now · third-party context

      Why now

      Early access · defenders first

      Put an auditor that never sleeps on your contracts.

      We are opening conversations with protocol teams, investors, insurers and security leaders who want autonomous systems to strengthen the defenders first.

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      ■ recorded · evidence chain updated

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