Authorize Google ADK agent actions with Cerbos
Control which tools and data your Google Agent Development Kit agents can access with fine-grained, policy-driven authorization powered by Cerbos.
Tool authorization
Control which tools each user or role can invoke through Google ADK agents with fine-grained Cerbos policies
Context-aware decisions
Authorize tool calls based on user identity, roles, attributes, and request context at runtime
Audit every agent action
Every authorization decision is logged with full context, giving you a complete audit trail of agent behavior
How Cerbos works with Google Agent Development Kit
AI agents and tools introduce a new class of authorization challenges. They act on behalf of users, access sensitive data, and chain operations, all of which need fine-grained access control.
Cerbos provides policy-driven authorization that controls what AI systems can do, which data they can access, and on whose behalf. Policies are written in human-readable YAML and evaluated at request time.
With Cerbos and Google Agent Development Kit, you get guardrails that scale with your AI adoption, centrally managed policies, full audit trails, and sub-millisecond decision times that don't slow down agent workflows.
How Cerbos authorizes Google ADK agent actions
- Define policies for tool access, Write YAML policies that specify which tools each user or role can invoke based on identity, attributes, and context.
- Check authorization before each tool call, Before invoking a tool, your application sends the user context, tool name, and target resource to the Cerbos PDP.
- Cerbos evaluates the request against policies, The PDP applies fine-grained rules considering the user's identity, role, and any additional attributes you provide.
- Tool call proceeds or is blocked, Cerbos returns an allow or deny decision. Your application enforces it, with every decision logged for audit.
FAQ
How does Cerbos authorize Google ADK agent actions?
Before a Google ADK agent invokes a tool or accesses data, your application sends the user context, tool name, and target resource to the Cerbos PDP. Cerbos evaluates fine-grained policies and returns an allow or deny decision.
Can I restrict tool access per user or role?
Yes. Cerbos policies are attribute-based, so you can restrict tool access by role, department, subscription tier, or any other context you provide. Policies are written in YAML and managed outside your application code.
Does Cerbos work with multi-agent ADK workflows?
Yes. Cerbos authorizes at the tool-call boundary, so each agent in a multi-agent workflow is individually authorized. Sub-agents inherit the requesting user's permissions unless policies specify otherwise.
Learn more about Cerbos
Related integrations
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Cerbos + Google Agent Development Kit
- Cerbos policies govern AI agent tool access and data visibility
- Full audit trail for every AI tool call and data access
- Per-user permissions enforced across autonomous agent workflows
- Sub-millisecond policy evaluation with no agent pipeline overhead
Authorization for AI systems
By industry
By business requirement
Useful links
What is Cerbos?
Cerbos is an end-to-end enterprise authorization software for Zero Trust environments and AI-powered systems. It enforces fine-grained, contextual, and continuous authorization across apps, APIs, AI agents, MCP servers, services, and workloads.
Cerbos consists of an open-source Policy Decision Point, Enforcement Point integrations, and a centrally managed Policy Administration Plane (Cerbos Hub) that coordinates unified policy-based authorization across your architecture. Enforce least privilege & maintain full visibility into access decisions with Cerbos authorization.