Amazon Verified Permissions - Amazon Verified Permissions is a managed service for fine-grained application authorization using policies written in the Cedar policy language.

Express authorization rules using principals, actions, resources, and conditions. Matching forbid policies override permits, and requests without a matching permit are denied.

Store and manage application authorization policies independently of application deployments. Use policy-store boundaries to separate environments, applications, or tenants where appropriate.

Define entity types, actions, and context structures in a schema, then enable strict validation to check policy changes against that model. Coordinate schema updates with the application code that constructs requests.

Create parameterized policy templates and instantiate template-linked policies for particular principals or resources. This is useful for repeated sharing or delegation rules without maintaining separately authored policy text for every relationship.

Use entity relationships to represent roles or groups and attributes to express conditions such as tenant membership or resource ownership. Applications must supply trusted entity data required by the evaluation.

Configure an identity source for Amazon Cognito or a supported OpenID Connect provider and submit supported tokens through token-based authorization APIs. Policies can use the identity information exposed through the configured identity source.

Evaluate multiple authorization requests through batch APIs where supported. For example, check which actions a user may perform on a resource before rendering controls, while still enforcing authorization when each action executes.

Authorization responses include the decision, determining policies, and evaluation errors where applicable. Use this information to troubleshoot unexpected outcomes, without exposing sensitive policy details to end users.

Enforce tenant membership, tenant-specific roles, and resource ownership across application APIs. Model tenant separation explicitly in policies and trusted entity data rather than assuming a shared policy store provides automatic isolation.

Represent permissions such as viewing, editing, or administering a document or project. Use template-linked policies for repeated grants to individual users or groups.

Have multiple services evaluate access against a common authorization model instead of implementing separate permission rules. Standardize action names, entity identifiers, request context, and failure handling across callers.

Require conditions such as an approved resource state or a trusted user attribute before allowing sensitive operations. Obtain condition values from authoritative application records or validated identity information.

Check available actions to determine which controls or workflows to display. Treat these checks as interface guidance only and repeat authorization on the server before accessing data or executing changes.

Usage-based charges apply to authorization requests. Estimate cost from the number of access decisions your applications make, and consult the applicable pricing schedule for rates and how batch requests are counted.

Policy management API requests are a separate usage-based pricing dimension. Include policy provisioning, updates, and other billable management operations in cost estimates, especially when managing large numbers of tenant-specific policies.

Amazon DynamoDB

Store application entity attributes and relationships in DynamoDB, then construct the relevant entity data for authorization requests. For example, retrieve a project's tenant, owner, and membership records before checking whether a user can modify it. Verified Permissions does not automatically fetch these records, so the application must manage retrieval and consistency.

Amazon API Gateway

Use a Lambda authorizer or backend authorization logic to connect API Gateway requests to Verified Permissions. For example, map a DELETE request to a Cedar action and a resource identifier, then reject the request when authorization is denied. If authorizer caching is enabled, ensure its cache key and lifetime cannot reuse decisions across different protected resources or contexts.

AWS CloudFormation

Use the AWS::VerifiedPermissions::PolicyStore resource to provision policy stores and their schema configuration through infrastructure as code. For example, deploy separate development and production stores with consistent validation settings. Coordinate policy lifecycle management and application configuration with the deployed policy-store identifiers.

AWS CloudTrail

Use CloudTrail to audit supported Verified Permissions management API activity. For example, investigate which IAM principal changed a policy store or updated authorization policies. Complement these records with application-level authorization logs that identify the protected operation and outcome without recording tokens or unnecessary personal data.

Amazon Cognito

Configure a Cognito user pool as an identity source for a policy store and use token-based authorization APIs. For example, a signed-in user can present a supported token while the application asks whether that user may edit a particular document. Supply trusted resource attributes and additional context required by the policy.

AWS Lambda

Call Verified Permissions from a Lambda function using an AWS SDK and an execution role with the required API permissions. For example, a document-update function can load ownership information, evaluate the edit action, and write the update only after an Allow decision. Handle authorization-service failures explicitly and avoid performing protected side effects before the check.