How to keep agent authority scoped, brokered, and auditable instead of leaking raw secrets into prompts and logs.
Agent authority and secrets
What it is
Agent authority is the set of actions an AI-assisted system can take: read a repo, deploy a site, fetch a document, call an API, or mutate infrastructure. Secrets are only one part of that authority. The real design question is how authority is granted, scoped, logged, rotated, and revoked.
Learning goal
Learn to talk about agent security as delegated authority and auditability, not just "where do we put the API key?"
Why it matters in production
An agent that can use tools can also misuse tools. If credentials are copied into prompts, terminal logs, repo files, or broad environment variables, the system becomes hard to audit and hard to revoke. A production posture needs purpose-specific credentials, wrapper boundaries, and logs that show which authority was used.
How I actually build it
In FOS, the pattern is:
- Keep active operator secrets in OpenBao-backed paths.
- Use purpose-specific Cloudflare tokens for Pages, DNS, Workers, and D1.
- Route deploy and API operations through wrappers that load only the relevant token.
- Treat Cloudflare Pages secrets as downstream sinks, not the source of truth.
- Record material operator actions on tickets.
For enterprise use, this pattern should mature into brokered identity, short-lived credentials, stronger agent identities, and stricter session-log controls.
Practice loop
- Pick one tool-using agent workflow.
- List every authority it needs.
- Remove any authority that is only convenient.
- Split remaining authority by purpose.
- Add a command wrapper or broker that loads only the needed scope.
- Record how to revoke the authority.
Proof artifact
A useful proof is an authority map: tool, purpose, secret source, scope, rotation path, revocation path, and audit trail.
Current status
FOS has a pragmatic personal implementation with OpenBao and scoped Cloudflare operator paths. A private cookbook draft maps the enterprise maturity model. The public page should stay honest: this is a learning and maturity pattern, not a claim that the personal lab already meets every enterprise control.
What worked, what didn't
What worked is splitting credentials by purpose and forcing deploy operations through wrappers. What still needs work is stronger per-agent identity and a clearer posture for raw session logs.
Next build
Publish a sanitized authority map for the cookbook deploy flow: Pages project, DNS record, token source, wrapper, verification, and revocation path.
Further reading
- AI capability as a system
- Handover
- FOS ticket
fos-gejmfor the private enterprise secrets grill pass.