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Panopticore
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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.

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As featured on Cloud Wars · April 15, 2026
Video thumbnail: The Missing Layer in Enterprise AI: Governance and Auditability
Featured on Cloud Wars Minute, April 15, 2026 — by Kieron Allen Read the full article on Cloud Wars →

“This technology is unblocking agents that are stuck in limbo.”

What exists today

Three layers of AI governance.
None of them enforce at the action layer.

☁️
Model providers & hyperscalers
▸Content filters and safety settings at the model or gateway level
▸Basic logging of prompts and completions
Cannot see your internal workflows, policies, or systems of record. Governance ends at the API boundary.
📊
Observability & monitoring
▸Dashboards and logs after actions have already executed
▸Tracing and metrics for debugging and performance
Cannot stop a bad action at the moment an agent decides to take it. Observation is not enforcement.
🔒
AI security & red-teaming
▸Prompt injection detection, data leakage prevention, model vulnerability scanning
▸Pre-deployment testing and adversarial evaluation
Focused on the model layer, not the action layer. Mostly pre-deployment or limited to prompt filtering.
The missing layer
Panopticore
Runtime governance at the network layer
Enforce before execution
Policy evaluated on every action. Allow, warn, block, or require approval.
Separate trust boundary
Out-of-process, at the network layer. Cannot be bypassed by the agent it governs.
Tamper-evident evidence
Cryptographically signed Evidence Binders. Offline-verifiable by any third party.
Your agents ↔ Panopticore ↔ External systems, APIs, tools
Solutions

Choose your path.

Panopticore serves four buyer contexts. Start with the one closest to your role.

For Microsoft Copilot & Power Platform

Govern Copilot agents and Power Platform flows with infrastructure-layer controls and audit-grade evidence.

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For Audit, Risk & Insurance

Prove what agents did with evidence auditors and insurers can verify independently, offline.

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For Platform & SRE Teams

VPC-native sidecar governance with mTLS, policy enforcement, and fail-closed boundaries.

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For Salesforce & Agentforce-Adjacent

Govern agent actions at the network boundary where Agentforce workflows reach external systems.

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What it does

Lift coverage. Enforce policy. Produce evidence.

A governance sidecar for AI agent egress. Deploy in your VPC, route agent traffic through Panopticore, enforce policy at the network layer.

Lift coverage

Capture the actionable surface area through the egress path. Turn unknown actions into measurable coverage.

Enforce policy

Policy evaluation returns allow, warn, block, or approval-required. Plus egress guardrails: allowlists, DNS pinning, rate limits. Deterministic. Not probabilistic.

Orchestrate approvals

Require approvals before execution for high-consequence actions via Slack with signed tokens.

Evidence Binders

Cryptographically signed session summaries designed for audit, incident response, and legal review. Offline-verifiable by any third party.
Where it sits
Your Agents
Any framework, any vendor
Panopticore
Enforce. Approve. Record evidence.
Separate trust boundary
External Systems
APIs, tools, services
All agent egress flows through a dedicated control point in a separate trust boundary. No SDK. No framework changes.
See full architecture →
Validation

Independent credibility signals.

As featured on Cloud Wars
Kieron Allen, April 15, 2026
Active in NIST AI agent security standards
Formal submission, February 2026
Latest from Insights
How Cloud Wars framed what we've been building

Frequently asked questions

What traffic can Panopticore govern?
Any agent action routed through the sidecar proxy over HTTP or HTTPS, including requests inside HTTPS CONNECT tunnels. MCP-aware. A2A on the near-term roadmap.
How is Panopticore different from Microsoft's Agent Governance Toolkit?

Microsoft's toolkit, in their own documentation, describes itself as application-level governance where "the policy engine and agents run in the same process." It hooks into agent frameworks via SDK integration (LangChain callback handlers, CrewAI decorators, etc.) and requires framework adoption.

Panopticore operates at the network layer in a separate trust boundary from the agent and requires no framework changes. Microsoft's audit trail is operational (OpenTelemetry spans in Application Insights). Panopticore's Evidence Binder is self-contained and offline-verifiable by any third party. Both are useful; they answer different questions.

Is this just monitoring or observability?
No. Panopticore can block actions or require approvals before execution, and generates offline-verifiable evidence. Observability tools tell you what happened. Panopticore decides whether it should happen.
What can Panopticore not govern?
Actions that remain entirely within a vendor's closed infrastructure are outside Panopticore's scope. For example, an agent action executed entirely inside Salesforce that never leaves the platform's trust boundary cannot be intercepted at the network layer. This is a deliberate architectural boundary, not a roadmap gap.
Can it run entirely in our VPC?
Yes. VPC-first is a core design constraint. No required SaaS control plane.
What do you store?
Event metadata and cryptographic proofs. Payload capture is configurable and policy-driven.
Does Panopticore handle MCP and A2A?
MCP-aware today. A2A on the near-term roadmap.
What's the deployment timeline for a design partner?
Initial deployment in simulate mode in days, not weeks. Enforcement turned on per workflow once the policy set is clean.
Do you sign BAAs and handle regulated data?
Architecture supports regulated environments. Specific contractual arrangements available during design partner conversations.
What's the company's current stage?
Pre-seed, in active development, building design partner relationships. See the Company page for founder background.

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