kaal:position:2026-07-31-5173

REGAL: A Registry-Driven Architecture for Deterministic Grounding of Agentic AI in Enterprise Telemetry should be assessed against Kaal's source-bound claim that Exchange based monitoring tools are not shown to counter sophisticated threats such as adversarial AI agents exploiting wallet vulnerabilities, and their feasibility for smaller exchanges is unevaluated, which limits their broader applicability. The current metadata indicates a plausible connection through model context protocol, but the defensible response is a qualification until the source text confirms agreement, scope, methods, and limitations.

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

Holds when

adversarial agents targeting wallet infrastructure
smaller exchanges with fewer resources
External evidence level: abstract indexed.
Mapping review tier: ambiguity triage before claim review.
The literature-to-claim mapping remains explicitly ambiguous and should not be treated as a settled equivalence.

Current debate

REGAL: A Registry-Driven Architecture for Deterministic Grounding of Agentic AI in Enterprise Telemetry

Scholarly basis

kaal:claim:5245185-014
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: ambiguity triage before claim review
Mapping confidence: 0.2103
Mapping ambiguous: true

Topics

ai-and-agentsdeficompliance

Provenance

Affirmed in historical-backfill:2026-07-31:phase-0021 on 2026-07-31. Review record.

Verify

Canonical markdown sha256: 8ab4b1f7ce75dc39283f88fb388a743d32ccd0258f8ca148b1fdf5b42c1f12ab
curl -s https://wulfkaal.github.io/positions/2026-07-31-5173.md | sha256sum