Evidence that auditors, regulators, and insurers can verify.
AI agents are taking action in production. Panopticore produces the governance evidence that closes the gap between what agents do and what your organization can prove they did.
Can you prove what your agents did?
AI agents are executing consequential actions: moving data, calling APIs, modifying production systems. Auditors and insurance carriers are catching up to what this means for evidence requirements, policy enforcement, and liability.
Most enterprises cannot answer three questions about their agent operations: what did the agent do, which policies were in effect, and were those policies actually enforced. Observability dashboards record telemetry. They do not produce the kind of evidence an auditor, regulator, or insurer can verify independently.
Panopticore exists to answer those questions with cryptographic certainty.
What an Evidence Binder means to a regulator or carrier.
What's inside
- Identity chain — principal, session, signed tokens
- Action inventory — attempted, executed, blocked
- Policy decisions — which policy, why, justification
- Approvals — who approved, when, and scope
- Verification artifacts — hashes, signatures, ledger linkage
Independently verifiable
Evidence Binders are self-contained. Any internal auditor, external auditor, or third party can verify the integrity of the evidence without vendor access, without a dashboard login, and without trusting the system that produced it.
$ binderverify --input binder.pdf --pubkey key.pem
✓ signature valid
✓ merkle root matches ledger
✓ policy bundle checksum matchesNo "trust our dashboard" requirement.
Controls and evidence for the insurance conversation.
The Evidence Binder provides the controls and evidence insurers are increasingly requiring as agentic AI systems take production actions.
It documents what the agent did, which policies governed the action, and whether those policies were enforced, in a format that can be verified independently. This is not a compliance certification. Panopticore is evidentiary infrastructure that supports the conversations your risk team is having with carriers today.
Frameworks that matter for agent governance.
NIST AI RMF
AI Risk Management Framework 1.0 with Generative AI Profile (AI 600-1). NIST released a concept note for an AI RMF Profile on Trustworthy AI in Critical Infrastructure on April 7, 2026. RMF 1.1 expected through 2026.
EU AI Act
The EU AI Act's high-risk system requirements are approaching enforcement, with timing subject to the Digital Omnibus proposal currently in EU Parliament. Evidence requirements for high-risk AI systems will require documented governance.
Panopticore is evidentiary infrastructure that supports compliance, not a compliance certification itself.
The audit-driven pilot.
From zero governance evidence to a documented evidence chain in four steps.
Active in defining the standards.
Panoptic Systems is an active participant in defining AI agent governance standards. In February 2026, founder Dave Medeiros submitted a formal comment to NIST on Security Considerations for Artificial Intelligence Agents (Docket NIST-2025-0035, 91 FR 698).
“The most consequential security gap in deployed AI agent systems today is not prompt injection, model manipulation, or adversarial attacks on the model itself. It is the absence of a verifiable, tamper-evident record of what an agent actually did at runtime.”
“Every decision is recorded in a cryptographically signed audit trail that can be verified offline by any internal auditor or third party.”
Close the evidence gap.
Request a briefing and we'll walk through the Evidence Binder with your audit team.