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Agentic AI changed enterprise security. PolicyArc closes the gap.

Ungoverned AI isn't automation, it's exposure. PolicyArc decides, in real time, what every autonomous agent can do with your systems and data, based on policy and live user consent.

From action, to policy, to proof.

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The problem isn't access.
It's what agents do with it.

Real risks that show up after an agent is already authorized.

Access that doesn't expire when the job does
Agents are often granted broad, standing access — “just in case” permission that outlives the task it was meant for. Its reach should be exactly as wide as its mandate. No wider.
A legitimate agent, manipulated mid-task
An attacker hijacks the agent's instructions after it's already authenticated, turning a trusted agent into one acting on someone else's behalf, without ever needing its credentials.
No way to tell who actually acted
A completed action doesn't say whether it was a person, a service account, or an agent acting on someone's behalf. Accountability breaks down after the fact, not before. Humans needed Zero Trust. AI needs it more. AI is the new privileged user. Govern it accordingly.
One legitimate step becomes an incident
An agent chains tasks across systems — query a database, email the results, trigger a workflow, or hand off to another agent entirely — and a single early decision compounds before anyone notices.
Authorized access, wrong fields
A billing query shouldn't also expose a customer's SIN or medical history, but system-level access can't tell fields apart. All-or-nothing permission was never specific enough. The same gap applies to whatever ends up in an LLM's context to answer a question. Inference isn't exempt from access control.

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. It evaluates every request the same way, whatever the actor, human or machine.

When AI becomes the user, PBAC becomes the trust layer.

The same platform, proven for over a decade before AI agents ever needed governing.

Why PolicyArc

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.

CapabilityPolicyArcTypical IAM
Enforces user consent per requestcheck_circleremove
Harmonizes RBAC, ABAC, ReBAC & TBACcheck_circleremove
Scoped, revocable access for AI agents, instead of role-based, not scopedcheck_circleremove
Exportable, regulator-ready audit trailcheck_circleremove
Works with any identity providercheck_circleremove
Externalizes policy from application codecheck_circleremove
Ships with pre-built policy, not just tools to write itcheck_circleremove
Enforces user consent per request
PolicyArcTypical IAM
Harmonizes RBAC, ABAC, ReBAC & TBAC
PolicyArcTypical IAM
Scoped, revocable access for AI agents, instead of role-based, not scoped
PolicyArcTypical IAM
Exportable, regulator-ready audit trail
PolicyArcTypical IAM
Works with any identity provider
PolicyArcTypical IAM
Externalizes policy from application code
PolicyArcTypical IAM
Ships with pre-built policy, not just tools to write it
PolicyArcTypical IAM

Why PolicyArc by IDENTOS

Built with capabilities typical IAM doesn't have: scoped AI agent access, exportable audit trails, works with any identity provider

See the full comparisonWho benefitsRead our full track record
Twelve years inside health and government systems where a wrong access decision has real consequences.
Alec LawsChief Technology Officer, IDENTOS
Certified & recognized
ISO 27001 certifiedSOC 2 Type IIDeloitte Technology Fast 500 2025ISO 9001 certifiedGlobe & Mail’s Top Growing Company 2025

Why agentic AI, why now.

AI moves faster than governance ever has, and regulators aren't waiting for it to mature. The EU AI Act and ISO 42001 are already asking how AI systems make access decisions, and whether those decisions are auditable. Moving now means getting ahead of that question, not reacting to a breach. And it's not just one region.

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.

PolicyArcTask-scoped, time-limited access
The capabilities behind every agent decision. Click any one for the details.

How 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.

Request

A principal — a person, service, or AI agent — requests access to a protected resource or action.

Enforcement

The request passes through a Policy Enforcement Point (PEP) — embedded in the application, API, or, for AI agents, the MCP Gateway.

Decision

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.

Result

The PDP returns an allow, deny, or conditional decision in real time, and every decision is logged automatically for audit.

Policy and consent are evaluated together on every request — no cached entitlements.
Your systems and services
Request

A person, service, or AI agent requests access to a protected resource.

Enforcement

The request hits a Policy Enforcement Point in your app, API, or gateway.

Decision

PolicyArc's Policy Decision Point weighs identity, sensitivity, and live context against policy.

Result

Allow, deny, or conditional — returned in real time and logged for audit.

Policy and consent are evaluated together on every request — no cached entitlements.
See the full breakdown

Ready on day one.

Delivered as SaaS, pre-configured for the standards and platforms your team already runs.

Google
Microsoft
Okta
Atlassian
Figma
GitHub
GitLab
Hubspot
Generic OIDC
Azure
Confluence
Artifactory
Jenkins
Jira
Sonarqube
Open-Meteo
Looking for a different connector?Tell us what you run and we'll map it into policy.
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Policy libraries
Standard data security protocols
Baseline technical security controls applied consistently across every system and application.
Privacy laws
PolicyArc consolidates your jurisdictional privacy requirements such as PIPEDA and Law 25, mapped directly into enforceable policy.
Horizontal applications
PolicyArc uses connectors to apply cross-cutting policy rules for shared enterprise systems used across the whole organization.
Industry applications
PolicyArc connects to applications to enforce industry-specific rules tailored to financial services, insurance, healthcare, government, and other verticals.
Regulatory
Pre-built rule sets for sector regulator mandates, ready to assign, no manual translation of legal text into policy.
Compliance
Structures every decision into regulator-ready reports, the packaged form of PolicyArc's audit trail.
Agentic AI
Task-scoped, time-boxed credentials that expire when the job does — purpose-built for autonomous systems, not adapted from human rules.

Built for the people who own the risk.

From the team implementing it to the leaders accountable for it.

Security & IT leaders
One place to govern, audit, and prove compliance — combining static attributes like role and MFA with live signals like resource sensitivity and workflow state.
AI & platform teams
Scoped, time-bound, revocable access — so you can ship without opening the vault. Automatic data handling rules keep sensitive fields masked and rate limits enforced by default.
Privacy & compliance
One place for all audit and compliance needs. Show a regulator how any single decision was made, with consent state and policy version attached.

What it costs to get authorization wrong.

The gap between AI adoption and AI governance is already measurable.

87%
Of organizations had two or more identity-centric breaches in the past 12 months — every access, human or agent, needs a provable answer.
CyberArk 2025 Identity Security Landscape
68%
Of organizations lack identity security controls built specifically for AI — governed by rules made for people, not autonomous actors.
CyberArk 2025 Identity Security Landscape
92%
Of organizations breached through AI had no proper AI access controls in place.
Ponemon Institute, Cost of a Data Breach Report 2026 (sponsored by IBM)

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.

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