# kaal:claim:5245185-031

**Claim.** Relying on centralized AI to simulate attack vectors is fallacious because it assumes the system can anticipate its own adaptive strategies, while evolving agents may simply bypass centralized defenses.

**Type.** failure  **Support.** evidenced

**Holds when.**

- AI driven intrusion detection and attack simulation

**Source quote.**

> The circular reliance on AI to simulate attack vectors assumes it can anticipate its own adaptive strategies—an inherent fallacy as evolving agents may bypass centralized defenses.

**From.** Wulf A. Kaal, *How can we Best Monitor AI Agents* (2025), 6.3.3. Security and Fraud Detection: Centralized Vulnerabilities Amplify Risks, page 14

**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.** self-simulated-threat-model  (family: ai-oversight-and-alignment-gap)

**Topics.** consensus-and-security

**Keywords.** attack-simulation, circularity, intrusion-detection, defense-bypass

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