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Cerbos - All Posts

Authentik vs Keycloak: Self-hosted IdP comparison Mapping business requirements to authorization policy for automotive Fine-grained authorization for AI gateways EIC 2026: Stop counting agents, protect what they can touch Agent skill for writing authorization policies in Claude Desktop Identity security in 2026 EIC 2026 takeaways: the identity stack built for humans will not hold up for AI agents Already have authentication? Here's the authorization layer you still need. Tokens are authorization decisions: a guide to policy-driven token issuance What is a Runtime Authorization Platform It's a dimmer switch, not a kill switch. How CISOs are rethinking AI agent governance From maps to bitmaps (and from bitmaps to bitmaps) AuthZEN, Shared Signals, SCIM Events, IPSIE: Notes from the OpenID Enterprise Panel How do you update authorization policies without redeploying your application? IIW42 recap: Where agent authorization got real Cerbos PDP v0.52.0/v0.53.0: Engine performance, security hardening, and CEL path functions Authorization Management Platforms: what they do, how they work, and where they fit PocketOS AI coding agent deleted a production database in 9 seconds Non-Human Identity management still has a blind spot Supabase alternative in 2026: Best open source auth options Benefits of on-premise authorization: Why enterprises are moving toward self-hosted Authorization policies: How to write, test, and validate them (faster with AI) Agent skill for writing authorization policies How much does it cost to build authorization in-house? Why centralized authorization governance reduces incident response time OPA alternative Why AI agents make authorization a right now problem Modernizing legacy application authorization: why it’s your biggest security blind spot How to add authorization to legacy applications without code changes 5 authorization blind spots auditors find, and how to fix them
Matrix Testing, Time Conditions and more - Cerbos v0.14 R...
Alex Olivier · 2022-03-08 · via Cerbos - All Posts

This release includes many improvements that enhance policy authoring and testing along with updates that make deployment, management, and monitoring of Cerbos easier.

Matrix Tests

Being confident that your policies correctly implement your business requirements is key in order to begin evolving rules overtime. Cerbos already allows a test suite to be defined but this release adds a new capabiltiy - Matrix Tests.

You can now define a set of principals, resources, and actions in a test case and the test runner automatically runs tests against all combinations of principal, resource, and action tuples to help you catch those edge cases that may not have been thought about.

This is one of the rare cases where a breaking change was necessary to make the developer experience better. Existing test suites must be updated to work with this version of Cerbos. See upgrade documentation for more information.

Time-based Policy Conditions

One of the many powerful ways you can define policies is to make decisions based on time - for example allow a user access to a feature for a certain number of days with the end date defined as an attribute of the prinicpal.

This release includes a new now function which returns the current timestamp and thus can be used to work out if the date has passed or not and return the correct ALLOW/DENY result.

An example of what this would look like in a resource policy - where the actions are different features - could look something like this:

- actions: ['featureA']
  effect: EFFECT_ALLOW
  roles:
    - USER 
  condition:
    match:
      expr: now() < timestamp(P.attr.trialEnd)

These very dynamic policies are only possible in Attribute-based Access Control (ABAC) systems and the stateless nature of Cerbos means that these decisions are distributed and performant regardless of how you deploy your application. You can find out more about conditions in the docs.

Add/Update Policies via cerbosctl put

The cerbosctl management tool now supports adding or updating policies and schemas to a running Cerbos instance using the new put subcommand. The Admin API must be enabled on the Cerbos instance and it must be configured to use one of the database storage backends such as Postgres or MySQL in order for this command to work. For more information see cerbosctl put documentation.

Docker healthcheck and cache size control

Along with these big updates, we have added support for the Docker healthcheck directive as well as giving you more granular control over the cache sizes for when Cerbos is being run in Kubernetes or other orchestration system that imposes memory resource limits.

You can find the full release notes here and if you have any questions join our Slack community.