An open future for governed AI. Built in the open
Rangoon.ai

Security

Make authority explicit.
Make evidence useful.

Design security-agent operations around declared capabilities, bounded connector actions, policy context, specific approvals, and reconstructable execution evidence.

Product direction · In active development

01

Configuration is not authority

Giving an agent a security skill should not silently authorize every operation that skill describes.

Decision-time controls

The planned model evaluates consequential requests with their target, scope, policy, and expected side effect.

02

Review the actual request

Approval designs should name the requesting agent, resource, data, risk, policy, scope, expiration, and supporting evidence.

No vague grants

The objective is to approve or deny an actual operation rather than an indefinite permission.

03

Reconstruct the path

Audit Explorer direction links proposal, effective configuration, policies, approvals, authorization, connector result, receipt, and evidence.

Preview status

Security workflows and integrations are in active development.

The future is open

More capability.
Greater possibilities.

Let’s build an AI ecosystem worth trusting.

Rangoon, the smiling orange crab mascot
Product previewConcept interface · sample data · active development

Explore the design. Actual interfaces and feature availability may evolve.

Find your way around.

Search documentation, product features, and resources. Esc to close