Agents inherit human authority
Broad integration credentials give automation access it was never explicitly granted.
Use case / AI Governance
Enforced access policy for AI agents.
AI's access to data needs the same governance as your employees. Enforce what files your AI agents can access, what they can do, when they can do it, and whether or not the action needs human approval first.
REQUEST / 8F24 Share invoice externally
A consequential action is evaluated before the file moves.
ActorInvoice review agent
Resourceinvoice-1038.pdf
Policy outcomeHUMAN APPROVAL
Dedicated agent identitiesAction-level policyHuman approval gatesSeparate audit trails
The operating reality
An agent acting under a human credential turns automation into an attribution gap.
Actions happen before review
A mistaken instruction or tool call can move data before a person sees the decision.
Activity loses attribution
Human and agent events collapse into one identity when incident response needs the opposite.
What changes with Stellarbridge
Govern the workflow, not just the destination.
01 / 03
Identity
Give automation a first-class identity.
Every agent receives its own owner, credential, and policy bindings instead of borrowing a user account.
- Accountable human owner
- Scoped credential
- Agent events remain distinct
02 / 03
Authority
Constrain what the agent can do.
Grant named actions against named resources. Sensitive operations can require a human decision before execution.
- Least-privilege resource scope
- Allow, deny, or approval
- External sharing can be gated
03 / 03
Audit
See the decision, not just the event.
The record captures actor, requested action, resource, policy outcome, and any human approval in one trail.
- Human and agent activity separated
- Denied attempts retained
- Approval chain preserved
Control plane
The evidence is part of the action.
Every request resolves to an attributable identity, an explicit policy decision, and a durable record.
01Owner
Every agent maps to an accountable person or team.
02Credential
Automation uses its own scoped identity.
03Action
Policy resolves each requested operation explicitly.
04Audit
Agent behavior remains separable from human activity.
From our field notes
Go deeper on the architecture.
01
Why enterprise AI needs governed data access
The SearchLeak lesson for identity, authority, and data boundaries.
Read article 02Why MCP connectors need governed boundaries
Tool access turns agent architecture into data-movement architecture.
Read article 03Agentic ransomware and governed AI data paths
What changes when autonomous systems become part of the attack chain.
Read articleQuestions
Direct answers.
01Does an agent get a separate identity from its owner?
Yes. The agent has a distinct credential and audit identity while retaining an accountable human or team owner.
02Can risky actions require human approval?
Yes. Policies can require approval for operations such as external sharing while allowing lower-risk actions like metadata reads.
03Can we distinguish agent activity during an incident?
Yes. Agent and human events remain separate, including requested actions, decisions, and approval history.
See it in your workflow
Put one agent workflow under policy.
Bring the agent, its current credentials, and the files it needs. We’ll map a least-privilege path together.