Guardrails, scoped identities and audit trails for every agent you run.
Every agent in your company gets a scoped identity, a written policy and a record of what it did. Credentials are brokered per action, so agents never hold standing access. Risky steps wait for a person, and every action lands in a tamper-evident audit trail your auditors can check.
Agent requested: scale payments-api to 0 replicas
Routed to the on-call approver in Slack
[The work behind every agent]
01The manual work
Review
Security reviews each new agent by hand, hands out long-lived keys and pieces together logs after something goes wrong.
02The agent handoff
Governed by default
Frontier agents run on scoped identities, brokered credentials and written policies, with every action recorded as it happens.
03Your engineers’ role
Set policy
Decide what each agent may do alone, what needs approval and who approves. Change it as trust grows.
[Where CloudThinker fits]
01Agents in use
Already running
No change to your agents
02Identity and secrets
Your system of record
Source of truth stays put
03Governance
CloudThinker
Least privilege by default
04Oversight
Approvals, not surprises
Every action attributable
[Example scenario]
A 150-engineer logistics platform running 6 kinds of agents across AWS and EKS, with Okta, Vault and a CISO who has to sign off on every new one.
Agent requests an actionAgent
During an incident, an agent proposes scaling payments-api to 0 replicas in prod-eu to stop a retry storm.
Policy check runsAgent
Policy says scale-to-zero in production needs a human. The request is held. No credential is issued yet.
Context sent to the approverAgent
The on-call approver gets the action, the evidence behind it, the blast radius and the rollback command.
Approver narrows itYour team
Rejects scale-to-zero, approves scaling to 2 replicas and pausing the retry queue instead.
Scoped credential, one actionAgent
A credential scoped to that deployment and that queue is issued for 15 minutes, used once, then expires.
Recorded for the CISOAgent
Request, policy decision, approval, action and outcome written to the audit log as one hash-linked entry.
CloudThinker15:21
Held for approval: scale payments-api to 0 in prod-eu. Reason: retry storm from queue settlement-retry, 18k msgs/min. Blast radius: EU checkout. Rollback: scale to 6.
On-call approver15:24
Not zero. Scale to 2 and pause settlement-retry.
CloudThinker15:26
Done with a 15-minute credential scoped to payments-api and settlement-retry. Error rate back to 0.3%.
CloudThinker15:31
Audit entry AUD-88412 written: request, policy, approval, action, outcome. Credential expired at 15:39.
An illustrative example. Team, systems and times are representative, not a specific customer.
[Frontier governance]
One control plane for every agent you run, so a new agent arrives with the same identity, policy and audit rules as the last one, and autonomy grows one approved step at a time.
[What changes]
| Moment | Today | With frontier agents |
|---|---|---|
| A team adds an agent | A one-off security review | Onboarded on the shared policy |
| Agent access | Long-lived keys with broad scope | Brokered, short-lived and scoped per action |
| Risky actions | Allowed or blocked by guesswork | Decided by written policy, with approvals |
| After an incident | Logs pieced together by hand | A tamper-evident record of every step |
| Audit | Screenshots and spreadsheets | Evidence exported from the log |
[Integrations]
[Adoption path]
The rollout follows the four phases of the AWS Cloud Adoption Framework, so it fits the plan your cloud team already runs.
01Envision
Map the agents you run
List every agent, what it can reach and how it authenticates. Start with the one closest to production.
02Align
Write the policy
Agree what agents may do alone, what needs approval and who approves, per environment.
03Launch
Move agents onto the control plane
Replace standing keys with brokered credentials, and run every agent on the same policy and audit trail.
04Scale
Make it the default
New agents can only reach production through the control plane. Autonomy grows as each agent earns it.
[Customer proof]
A Vietnamese digital transformation partner moved from AI-assisted delivery to governed AgenticOps, with brokered access, per-environment approvals and tamper-evident audit logs for every agent action.
[AWS guidance]
[Trust and control]
[Questions]
[Go deeper]
Start with the agent closest to production. See its access, policy and audit trail in one place before you scale to the rest.

Up to $200K in AWS credits
Applied to your own AWS account.

AWS AI Services Competency
Validated for Agentic AI Consulting.

Covered 24/7, on your approval
Under HIPAA, GDPR and SOC 2 controls.