AI agent security concerns the data it can read, the tools it can use and the actions it can trigger. Enforce those boundaries in the application and assign clear ownership. A prompt alone is not an access control.
Products & architecture
AI agent security: define access and responsibilities
Binov · 4 min
In this guide
A permission matrix for a customer record
Fictional example: an assistant prepares an address correction. Permission to read an address does not grant permission to change it. Complete this matrix with your actual roles.
| Step | Permission and technical control | Stop condition | Handover owner |
|---|---|---|---|
| Read | Read only permitted fields after identity checks | Inaccessible case | Access owner: … |
| Propose | Prepare a new value without writing | Missing or conflicting source | Case owner: … |
| Modify | Write through an API that checks fields, rights and required approval | Missing authorisation or record changed since review | Business owner: … |
| Approve | An authorised person confirms the presented change | Change differs from what was reviewed | Approver: … |
Treat incoming messages and documents as untrusted data: instructions in an attachment must not grant permissions. Keep secrets out of model instructions. Record the action, its status and useful approval evidence with appropriate access and retention, without unnecessarily copying the entire case.
A technical control blocks a forbidden operation; deciding who may authorise it belongs to your organisation. Testing one does not prove that the other has been decided.
Map system boundaries
List users, sources, tools and destination systems. For each exchange, identify the credentials used, information transmitted and available operations. This shows where a model decision can become a real action.
Distinguish information being read from authorised instructions. A document or incoming message may try to redirect the system’s behaviour. OWASP describes prompt injection as a relevant risk at this boundary.
Match controls to actions
| Action | Control to examine |
|---|---|
| Read information | User permissions and scope |
| Prepare a proposal | Sources, limitations and review context |
| Change a record | Authorisation and operation data |
| Send a message | Recipient, content and approval |
| Retry an operation | Duplicate prevention and limits |
Place human review before the action concerned and show enough detail to support a meaningful decision.
Test boundaries directly
Include out-of-scope requests, less-privileged users, contradictory sources and suspicious instructions in documents. Verify both what the system displays and what it actually executes.
A well-worded refusal is insufficient if a tool was still called. Application checks and logs should establish the real behaviour rather than only the generated explanation.
Assign responsibilities
Name business, technical and data owners. Decide who approves a new tool, expanded permissions or a model change. A deployed capability continues to change and needs ongoing ownership.
A risk management approach can help organise these decisions. The NIST AI RMF is a general reference; using it does not establish certification or compliance for a product.
Prepare incident handling
Define how to stop an action, revoke access and identify affected operations. Retain information needed for investigation within an appropriate scope and duration. Logs should not become an uncontrolled copy of business documents.
Prepare user communication and a manual fallback. After a fix, rerun the cases that exposed the problem before broadening usage again.
Common questions
Can we grant broad access to simplify a prototype? A prototype still needs explicit boundaries. Excessive permissions increase the consequences of mistakes and weaken the relevance of its findings.
Must every action be approved manually? Controls should match the consequences and be defined by action category, then verified in operation.
Does security work end at launch? No. New tools, users and data change the scope to examine.
Capture these decisions in agent requirements and production planning. Explore Binov’s technical leadership support.
Sound technical decisions, at the right time.
Bring senior perspective to your architecture, priorities and engineering organization.
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