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@clayseal

Clay Seal

AI safety research lab. Agents that live inside companies break rules nobody sees on a single call.

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An agent can work all day inside a company.
Every call allowed. Then it breaks a rule
that only exists across the whole shift.

Clay Seal is an AI safety research lab. We study long-running internal systems: agents with real tools, real ledgers, real mail, sitting in the company for hours. The failure we care about is not a jailbreak. It is the quiet one. The model did the job. The company still got hurt.

Public work

BPLbpl-benchmark: can the agent still obey the business after a long session?
Identityclayseal-identity: short-lived attested credentials. pip install clayseal-identity
Receiptsclayseal-receipts: a signed record of what was asked, what policy said, what happened

clayseal.com · lab.clayseal.com

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  1. clayseal-identity clayseal-identityPublic

    Each agent run gets its own short-lived attested credential. A stolen token is not enough.

    Python 7 5

  2. clayseal-receipts clayseal-receiptsPublic

    A signed record of what an agent asked for, what policy said, and what happened.

    Python 2

  3. bpl-benchmark bpl-benchmarkPublic

    Benchmark for how security policies regulate long-running tool-using agents.

    Python 1

  4. .github .githubPublic

    Clay Seal, an AI safety research lab

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