Qualification: From Rogue Employees to Rogue Agents: Repurposing Insider Threat Detection for AI Agent Governance

Record: kaal:position:2026-08-08-183 · 2026-08-08

From Rogue Employees to Rogue Agents states that AI-agent monitoring and insider-threat detection share a baseline-profiling and deviation-flagging architecture that encodes trust assumptions. This supplies a concrete monitoring architecture to which Kaal's training-bias and novel-deviation limitation applies. The proposition does not test either bias or detection of deviations outside the baseline.

Affirmed commentary position. This record extends a source-bound scholarly claim but is not a verbatim paper claim.
Holds when
Current debate

From Rogue Employees to Rogue Agents: Repurposing Insider Threat Detection for AI Agent Governance

Scholarly basis

kaal:claim:5245185-028
Wulf A. Kaal, How can we Best Monitor AI Agents (2025). SSRN: https://ssrn.com/abstract=5245185
Source PDF sha256: 4d7adba83ec722480e97bde6528cbe9ce98c709e45cb18794f157a64b8fe7da2

Evidence and mapping

Evidence: abstract indexed
Review tier: substantively reviewed abstract-level qualification
Mapping confidence: 0.62
Mapping ambiguous: false

Topics

ai-and-agentseducation-and-practicehistorical-responsescholarly-literaturecrossref

Provenance

Affirmed in kaal-review:2026-08-08:continuous-crossref-0015-remainder-0004-all-0023-reviewed-v1 on 2026-08-08. Review record.

Verify

Canonical markdown sha256: 9e5127a1b3230b90fca839f422627fb11d3052a1acf0cde8f6b8e435db9d118c
curl -s https://wulfkaal.github.io/positions/2026-08-08-183.md | sha256sum