Governing Production AI Agents: Secrets, Signatures, and Audit Trails
Agents are landing in CI, CRM, and contract workflows. DevOps already owns IAM, secrets, and change control. Those same controls now have to cover the tool call — not just the human who clicked deploy.
Most teams did not “adopt AI.” Staff opened ChatGPT, a vendor shipped an “AI feature,” and someone wired a coding agent to a ticket queue. The infrastructure job is the same one DevOps already has for humans and services: decide who can act, how credentials move, which actions need a person, and what evidence you keep.
If you cannot answer those four questions, you do not have an agent platform. You have a prompt with production access.
The control is evidence, not another policy PDF
Boards keep asking “are we using AI?” The useful question is “can you prove how it is governed?” That means an inventory with owners, data flows, and controls — not a slide that says the company is committed to responsible AI.
Cipher Projects has made that evidence problem a standing focus on their engineering blog: dated maps of what is already law, what is still a proposal, and what a mid-size company should produce this quarter. Start with Are You Using AI? Can You Prove How You’re Governing It? and the companion brief on Australia’s 2026–2027 AI regulation if you need a board paper that separates the 10 December 2026 privacy-policy date from the 2027 standards that do not yet have a draft.
Ops does not write counsel’s privacy-policy paragraph. Ops produces the inventory those words have to be written from: which systems, which personal information, which automated decisions, which vendor features nobody procured as an “AI project.”
Secrets: runtime stores vs one-time handoffs
Agent credentials fail the same way contractor credentials fail. Someone pastes a long-lived key into Slack. It sits in search history. Six months later it still works.
Split the problem:
- Runtime secrets belong in GitHub Actions secrets, AWS Secrets Manager, or HashiCorp Vault — injected at job time, rotated, never committed.
- Human handoffs (onboarding a contractor, sharing a bootstrap token, passing a webhook secret to the person wiring the agent) should not live in chat at all.
For the handoff, a zero-knowledge, one-view link is the smallest change that actually sticks. VanishingVault encrypts in the browser, keeps the key in the URL fragment so the server never sees it, and deletes the ciphertext on first read. That is the same pattern we covered in why self-destructing credentials beat long-lived API keys: shrink the window, then stop pretending Slack is a secret store.
Practical default
Vault or CI secrets for anything an agent uses unattended. A one-time vanishing link for anything a human has to copy once. No standing keys in tickets.
Signatures: agents prepare, people sign
The second failure mode is letting the model complete a consequential act. A tool-calling agent can draft a statement of work, place fields, route an envelope, and poll status. That is useful. Completing the signature as if it were the signer is a different legal object.
Legacy e-sign portals were built for a person clicking through a vendor UI. Agent workflows need an API that records who acted, under which credential, and when — and that does not pretend the model is the signer. SumoSign is built for that split: MCP or scoped keys for prepare/route/prove, signing reserved for authorized people. Cipher’s comparison of which e-signature platforms an agent can actually operate in 2026 is the right reading before you bolt DocuSign onto a weekend MCP wrapper and call it governance.
If counsel cannot reconstruct the envelope from the trail, you do not have a signing integration. You have a screenshot problem.
What to put in the runbook this quarter
- Inventory the agents and the “AI features.” Include ChatGPT, Copilot, vendor add-ons, and anything with a tool call. Name an owner. Cipher’s governance pieces are written for this unglamorous list, not a new policy template.
- Give each agent its own identity. No shared admin keys. Least privilege on the tools, not just the cloud account.
- Separate runtime secrets from human handoffs. Vault/CI for the former; a vanishing link for the latter.
- Gate high-impact tools. Deploy, pay, delete, and sign stay behind a human approval. The agent can prepare the packet.
- Keep an exportable trail. CloudTrail, app logs, and the signing evidence bundle should answer “who, what, when” without opening a chat export.
FAQ
What does DevOps actually own when an AI agent goes to production?
Identity, scoped credentials, change approval, logging, and a record you can produce when someone asks who did what. The model is not the control plane.
How should teams share API keys without leaving them in Slack?
Keep runtime secrets in a vault or CI secret store. When a human needs a one-time handoff, use a zero-knowledge, self-destructing link so the plaintext is not sitting in chat history. VanishingVault is one of the tools built for that handoff.
Can an AI agent complete a legally binding signature?
Agents can draft, place fields, route, and poll status. The signature should stay with an authorized person. Platforms such as SumoSign keep that split explicit in the audit trail.
Need scoped engineers for agent identity, secrets, or a production landing posture? Brief the job via Cipher Projects contact.
Conclusion
Governing agents is not a new discipline. It is IAM, secret hygiene, change control, and evidence — applied to a process that can now call tools without a ticket. Get the inventory on the table, stop pasting keys into chat, and keep a human on the acts that have to stand up in court. The rest is platform work DevOps already knows how to run.