# kaal:claim:5245185-024

**Claim.** Proposals for AI self monitoring rely on unspecified security measures and therefore overlook the risk that adaptive AI agents collude or evade oversight, a risk amplified by pervasive deployment.

**Type.** failure  **Support.** argued

**Holds when.**

- peer to peer agent auditing at scale

**Source quote.**

> reliance on unspecified security measures overlooks the risk of adaptive AI agents colluding or evading oversight, a concern amplified by their pervasive deployment.

**From.** Wulf A. Kaal, *How can we Best Monitor AI Agents* (2025), 6.2.4. AI Self-Monitoring: Unchecked Evolution Undermines Security, page 13

**Cite as.** Wulf A. Kaal, How can we Best Monitor AI Agents (2025). SSRN: https://ssrn.com/abstract=5245185

**Verify.** sha256 of source PDF `4d7adba83ec722480e97bde6528cbe9ce98c709e45cb18794f157a64b8fe7da2` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202025%20-%20How%20can%20we%20Best%20Monitor%20AI%20Agents.pdf

**Failure mode.** unspecified-safeguards-in-self-monitoring  (family: ai-oversight-and-alignment-gap)

**Topics.** compliance, regulatory-failure, ai-and-agents

**Keywords.** self-monitoring, collusion, oversight-evasion, adaptive-agents

**Canonical form.** This markdown file is the canonical hashed representation of the claim. Its sha256 is the content hash used for attestation.
