The Missing Layer in Enterprise AI.
Deterministic, infrastructure-level governance for AI agents. Audit-grade evidence that internal auditors, third parties, and insurers can verify offline.
“This technology is unblocking agents that are stuck in limbo.”
Three layers of AI governance.
None of them enforce at the action layer.
Start with your role or platform.
For Microsoft Copilot & Power Platform
Govern Copilot agents and Power Platform flows with infrastructure-layer controls and audit-grade evidence.
→For Audit, Risk & Insurance
Prove what agents did with evidence auditors and insurers can verify independently, offline.
→For Platform & SRE Teams
VPC-native sidecar governance with mTLS, policy enforcement, and fail-closed boundaries.
→For Salesforce & Agentforce-Adjacent
Govern agent actions at the network boundary where Agentforce workflows reach external systems.
→A governance sidecar for AI agent egress.
Deploy it in your VPC, route agent traffic through it, and enforce policy at the network layer.
See every action
Enforce policy
Orchestrate approvals
Evidence Binders
Frequently asked questions
What traffic can Panopticore govern?
How is Panopticore different from Microsoft's Agent Governance Toolkit?
Microsoft's README says the toolkit "enforces governance at the application middleware layer" and that "the policy engine and agents share the same process boundary." It hooks into agent frameworks through their extension points, such as LangChain callback handlers and CrewAI decorators.
Panopticore operates at the network layer in a separate trust boundary from the agent and requires no framework changes. Panopticore produces its Evidence Binders outside the agent's process, so a compromised agent cannot alter them. Both are useful; they answer different questions.