# kaal:claim:5245185-019

**Claim.** Internal monitoring by AI agent developers and owners is fragmented and unreliable because there are no auditing standards against external benchmarks and no accountability mechanisms for deviations such as insider manipulation or third party agent risk.

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

**Holds when.**

- proprietary internal monitoring by developers and owners

**Source quote.**

> insider manipulation or third-party agent risks, nor propose auditing standards against external benchmarks.113 This omission leaves internal efforts fragmented and unreliable.

**From.** Wulf A. Kaal, *How can we Best Monitor AI Agents* (2025), 6.1.4. No Standardization and Accountability in AI Agent Developers and Owners, page 12

**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.** unstandardized-internal-oversight  (family: ai-oversight-and-alignment-gap)

**Topics.** compliance

**Keywords.** internal-monitoring, auditing-standards, insider-manipulation, accountability

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