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The policy enforcement layer that scales from one entity to a million agents.

Traditional access control can't keep up with actors, regulators and the pace of change.

Speak to UsExplore PolicyArc
Audit decision log
AllowScheduling agent → appointment historyConsent on file, purpose matches booking scope11 ms
AllowCare team → lab resultsClinician in circle of care, active encounter8 ms
DenyAnalytics service → mental health notesDirective excludes sensitive category6 ms
AllowDelegate → parent portal recordsGuardianship verified, expires in 14 days13 ms
PartialBenefits API → income attributesFields redacted to purpose-bound subset15 ms
DenyResearch agent → cohort extractGrant window elapsed, token not renewed5 ms
AllowCitizen service → address of recordSelf-service request, identity assurance IAL29 ms
DenyThird-party app → prescription listConsent withdrawn 2 minutes ago7 ms

Where static roles meet dynamic everything.

The gaps in how access control works today.

Traditional access models don't scale with complexity
Role-Based Access Control (RBAC) needs a new role for every nuance: remote work, contractors, multiple business units, AI agents. This explosion of roles makes it brittle and hard to maintain.
Regulators demand granular, auditable control
Financial services, healthcare, and government face increasingly specific mandates: OSFI, PHIPA, PIPEDA, FINTRAC, Bill C-26, and the list continues to grow. Mandates too specific for manual process or after-the-fact audits.
Identity isn't context
Identity alone can't tell the difference between the same employee, same login, from a personal device at 2 AM to a corporate device at noon.
Policy logic is embedded across every application
When regulation changes, there's no single place to update it, just app-by-app logic to hunt through.
Zero Trust requires dynamic, fine-grained authorization
A one-time login or a static role can't deliver continuous verification. The perimeter that used to make that enough is gone.
AI agents are a new class of principal that need governance
Agents now take autonomous action, but traditional access models were never built to govern non-human actors.

PolicyArc is one engine for every access decision.

PolicyArc decides, in real time, what every person, service, and autonomous agent is allowed to do with your data, based on policy and live user consent.

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 the user's own consent directives on every request.

Enforce once. Satisfy everything.

Why PolicyArc

A role says who you are. It doesn't say what you're allowed to do with the data behind it.

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

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 embedded in health and government systems where a wrong access decision has real consequences. PolicyArc is what we learned, made reusable.”
Alec Laws,Chief Technology Officer, IDENTOS
12 years
Delivering identity and access programs for Canadian government and healthcare organizations.
100% Canadian
Data residency — meets the bar set by OSFI and Treasury Board.
Proven at scale
Hardened, not theorized
Twelve years of edge cases — proxy access, revocation, purpose limitation — resolved in production rather than on a whiteboard.
Today
Ready to deploy
The same engine, extracted and productized: deploy it behind your own APIs, services, and AI agents in weeks, not years.
Hear from our leadershipWhy we built PolicyArc
Certified & recognized
ISO 27001 certifiedSOC 2 Type IIDeloitte Technology Fast 500 2025ISO 9001 certifiedGlobe & Mail’s Top Growing Company 2025

What PolicyArc does

Access control as infrastructure, not afterthought.

PolicyArcCentralized policy administration
The capabilities behind that decision. Click any one for the details.
Centralized policy administration
A single Policy Administration Point (PAP) where business, security, and compliance teams co-author policy across every app, API, and data service. No authorization sprawl.
Full audit trails & compliance reporting
Every decision logged: who asked, what fired, why it was granted or denied. Regulator-ready evidence for OSFI B-10/B-13, PHIPA, and PIPEDA. Nothing to piece together later. When the regulator asks, the log answers.
Dynamic, real-time policy evaluation
No cached roles, no stale entitlements. Access adapts instantly to risk, identity, and regulatory changes, with no redeployment. Assume breach. Enforce policy.
Pre-built policy libraries
IDENTOS Policy Libraries — Standard Data Security, Privacy Laws, Horizontal Applications, Industry Applications, Regulatory, and Compliance — give you a running start.
Compliance by design.
Built for Canada's regulated verticals: OSFI, FINTRAC, PHIPA, PIPEDA/RPAA, NERC CIP, and provincial requirements.
AI agent authorization & governance
PolicyArc runs agents as policy-bound principals, enforcing least-privilege at runtime and auditing every tool call, API access, and data retrieval.
Policy separated from application code
Authorization logic lives outside your codebase, so business teams can change access rules without a deploy, and the vulnerability surface shrinks by design.

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 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
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.

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
Give agents exactly the access they need: scoped, time-bound, revocable, with automatic data handling rules built in.
Privacy & compliance
Every access decision logged and reportable — show a regulator exactly how any decision was made, with consent state and policy version attached.

What it costs to get authorization wrong.

Breaches are expensive, regulators are less patient than they were, and autonomous agents now act at machine speed on credentials nobody reviews. These are the failures PolicyArc is built to prevent.

$4.99M
Global average cost of a data breach in 2026 — a record high, up 12% this year.
Ponemon Institute, Cost of a Data Breach Report 2026 (sponsored by IBM)
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)
$6.29M
Financial services industry average breach cost.
Ponemon Institute, Cost of a Data Breach Report 2026 (sponsored by IBM)

Start with a demo. Leave with a plan.

Book a session with our team. We'll map PolicyArc to your protocols, policies, and consent requirements — and scope a pilot you can run.

Contact Sales