Policy-as-code authorization for the AI agent era

The authentication challenge has been solved and AI agents now pass it easily. Agents log in with valid credentials, call real APIs, and act on real data.

Intruders are no longer the risk.

The risk now is in legitimate identities doing things they shouldn't—out-of-policy transactions, cross tenant queries, tool calls nobody approved. Guardrails that make a model polite don't make it authorized. That distance between who an identity is and what it may do is the Authorization Gap.

The EnforceAuth Solution

EnforceAuth makes a deterministic authorization decision on every sensitive action at runtime, using current context. It applies to humans, services, and AI agents across applications, infrastructure, data, and AI workloads.

It's policy-as-code on OPA: written once, versioned in Git, tested, signed, and enforced everywhere.

Every decision records the principal, action, resource, policy version, and rationale, so security teams can answer "why was this allowed?" for any action.

The Platform: Assess → Govern → Evaluate → Defend

• Zift (open source) finds the authorization logic scattered across your codebase and turns it into policy.
• Writ is the control plane. It handles authoring, promotion, signed bundle delivery, and decision-log replay across OPA, Enterprise OPA, and Cedar-compatible engines.
• Herald lets AI agents query authorization natively over MCP, whether in the cloud or air-gapped.
• Verdict (coming soon) puts human approval in front of high-risk agent actions.

Why it's different

• OPA-native, no lock-in. It runs on the open standard and works across clouds and identity providers.
• Your runtime stays yours. The decision engine runs in your environment on the request path, so a control-plane outage never breaks enforcement.
• Built for agents from day one. It's MCP-operable, works with the major agent platforms, and supports the AuthZEN standard API.
• Audit evidence, not dashboards. Every decision is replayable and mapped to the EU AI Act, DORA, and NIST AI 800-4.

Who it's for: CISOs, platform and security engineering teams, and AI platform owners putting agents into regulated production. It also suits teams moving off Styra DAS.

EnforceAuth was founded in 2025 and is based in San Diego.