Agentic AI changed enterprise security. PolicyArc closes the gap.
AI without policy enforcement isn't automation. It's exposure. PolicyArc decides, in real time, what every autonomous agent is allowed to do with your data, by evaluating organizational policy and live user consent together.
Agents act. Policies govern. Logs prove it.
Getting in was never the risk. What happens next is.
Authentication was never the hard part.
PolicyArc's platform redefines the AI authorization category
AI tools and agents need governance and dynamic data protection: scoped access, contextual rules, a full audit trail. It's a policy-based access control (PBAC) engine that sits behind standard protocols like OAuth 2.0. Instead of scattering rules across applications, you express policy once.
PolicyArc evaluates it against real-time context and consent directives on every request. This PBAC model harmonizes organizational policy and individual consent into a single, auditable decision.
When AI becomes the user, PBAC becomes the trust layer.
The same platform, proven for over a decade before AI agents ever needed governing.
Generic IAM and homegrown rules can tell you a role is allowed. Only PolicyArc also enforces what the data's owner has actually agreed to, on every request, with a trail you can hand to a regulator.
Twelve years in the hardest access problems in the country. Now available to you.
PolicyArc wasn't designed in a vacuum. It's the engine we built, rebuilt, and hardened inside Canadian health and government programs — where consent is law, delegation is real, and a wrong access decision has consequences. We've broken it out of those deployments and packaged it as a product you can put behind your own APIs and agents.
We have spent over a decade inside health and government systems where a wrong access decision has real consequences. PolicyArc is what we learned, made reusable.
Why agentic AI, why now.
AI moves faster than governance ever has. Regulators aren't waiting for the technology to mature. The EU AI Act, ISO 42001, and zero-trust mandates like NIS2 are already asking how AI systems make access decisions, and whether those decisions are auditable. Organizations moving on this now aren't reacting to a breach; they're getting ahead of a question regulators are already asking.
GDPR, NIS2, DORA, HIPAA, PIPL
Different regulatory regimes, different continents — PolicyArc gives you one policy layer across all of them.
AI agent authorization & governance
The PolicyArc AI Authorization Policy Gateway runs agents as policy-bound principals, enforcing least-privilege at runtime and auditing every tool call, API access, and data retrieval.
Centralized policy administrationHow PolicyArc works
PolicyArc layers real-time, attribute-based decisions on top of the role-based permissions you already have. Every request resolves to an allow, deny, or conditional decision in milliseconds.
A principal — a person, service, or AI agent — requests access to a protected resource or action.
The request passes through a Policy Enforcement Point (PEP) embedded in the application, API, or gateway.
The PEP calls PolicyArc's Policy Decision Point (PDP), which evaluates identity, resource sensitivity, and real-time context — device, location, time — against the relevant policy libraries.
The PDP returns an allow, deny, or conditional decision in real time, and every decision is logged automatically for audit.
A person, service, or AI agent requests access to a protected resource.
The request hits a Policy Enforcement Point in your app, API, or gateway.
PolicyArc's Policy Decision Point weighs identity, sensitivity, and live context against policy.
Allow, deny, or conditional — returned in real time and logged for audit.
Implementation-ready.
Pre-configured for the standards, tools, and models your team already runs — no bespoke integration work to get the first decision flowing.
Built for the people who own the risk.
From the team implementing it to the leaders accountable for it.
What it costs to get authorization wrong.
The gap between AI adoption and AI governance is already measurable.
Frequently asked questions
Can PolicyArc stop a running agent?
Yes — by cutting off everything it can reach. PolicyArc doesn't run the agent, so it can't kill the process itself. But the moment its access is suspended, the agent's very next request is refused across every connected tool at once. Because access is just-in-time and expires on its own, there's no long-lived credential to hunt down — nothing new is issued, and what's already expired stays expired. The audit log captures both what the agent did before the change and every attempt after.
Is PolicyArc a gateway?
PolicyArc includes a gateway, but that's not what it is. The gateway is where a decision gets enforced — rate limiting, redaction, masking — while PolicyArc itself is where policy is decided, managed, and proven. If your setup doesn't need the gateway, your APIs can connect directly instead.
Does PolicyArc store our data?
No. Customer data is never stored, copied, or replicated into PolicyArc. Requests pass through in real time so policy and obligations like masking can be applied — but only the decision itself is retained. The data never is.
Is PolicyArc an AI safety tool?
No. PolicyArc governs access and actions, not model behavior, bias, or output quality. It decides what an agent can reach, not what it says. Trust the output. Verify the access path that produced it.
Start with a demo. Leave with a plan.
Book a session with our team. We'll map PolicyArc to your agents, policies, and consent requirements — and scope a pilot you can run.
Contact Sales