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Secure an AI agent at runtime by enforcing permissions in the systems that execute its tools and serve its data—not by trusting the model to obey instructions. Give each task only the tools and access it needs, recheck authorization at every call, isolate execution, and require independently verified approval for consequential actions.
What runtime security must control
An agent can turn text into actions: it may call an API, read a file, change a record, or run code. The model’s request is not proof that the request is authorized. A prompt can guide behavior, but the tool executor and downstream service must make the access decision themselves. OWASP’s LLM06:2025 Excessive Agency recommends implementing authorization in downstream systems rather than relying on an LLM to decide whether an action is allowed.
That distinction matters when the agent encounters malicious or misleading content. A user prompt, retrieved document, email, web page, or tool result can contain instructions intended to redirect the agent. Treat such material as untrusted input, even if it appears inside an otherwise useful workflow. The OWASP AI Agent Security Cheat Sheet provides guidance on limiting agency and protecting agent workflows.
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Before connecting tools, define what the agent is for and what it must not do. Write down the permitted data classes, target systems, operations, and the human or service identity on whose behalf it acts. Distinguish reading from writing, and specify which actions are out of bounds even if the model requests them.
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- Task: the specific job the agent is allowed to complete.
- Data: the records or categories of information needed for that job.
- Targets: the services, accounts, files, or environments it may address.
- Actions: allowed operations and prohibited operations, including consequential changes.
- Approval: the actions that must pause for an authorized person.
Use these boundaries to shape the tools and downstream permissions, not just to write a stricter system prompt. Keep retrieved material and user-provided content separate from trusted policy instructions where the framework allows it; neither should be able to grant new capabilities.
How to limit the tool surface
Expose only the operations needed for the task. A narrow search operation is safer than a general-purpose mailbox integration with send and delete rights. A dedicated operation to update one defined field is easier to constrain than a generic shell or API tool. If read and write actions have different risks, provide them as separate capabilities and authorize them separately.
- Remove tools the workflow does not use, including obsolete integrations.
- Prefer typed, task-specific operations over open-ended command, URL, or API access.
- Separate read, create, update, delete, and administrative operations where practical.
- Give each tool only the downstream access it needs; avoid a shared, broadly privileged identity.
A tool definition is not a security boundary by itself. The executor must still check what the caller is allowed to do, and the downstream application must enforce its own access rules. OWASP’s excessive-agency guidance specifically advises minimizing extensions and avoiding open-ended extensions.
How to authorize every tool call
For each invocation, validate the authenticated actor, operation, target resource, and permitted scope at the tool executor and again at the downstream service. Do not treat the model’s description of the user, a tool argument, or an earlier approval as a substitute for authenticated identity and current authorization.
- Authenticate the caller. Establish which user or service initiated the action using the application’s trusted identity context.
- Resolve the requested operation and target. Do not let free-form model text silently select a broader action or resource than the tool is designed to support.
- Check scope at execution time. Confirm that this caller may perform this operation on this specific resource now.
- Pass narrowly scoped authority downstream. When the agent acts for a user, use that user’s delegated authorization where possible rather than a shared privileged account.
- Let the downstream service enforce its own policy. A valid tool call must not bypass the database or API’s normal access checks.
Keep database and API privileges limited to the exact data and actions the task requires. If authorization cannot be confirmed, fail closed: do not execute the call and return a clear denial to the workflow.
How to validate and isolate execution
Validate tool arguments before use. Define expected types, lengths, formats, and allowed values; reject inputs outside those constraints. Where an operation accepts a resource identifier, check that identifier against the caller’s permitted resources instead of trusting a model-generated value.
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For code or command execution, use an isolated sandbox or container and a low-privilege identity. Disable access to the host filesystem, process environment, credentials, and unrestricted network by default; enable only the specific resources the task needs. A sandbox that can still reach secrets or internal services may not contain a compromised or manipulated agent. OWASP Cornucopia’s Agentic AI AAI8 calls out weak validation, permeable sandboxes, and overprivileged execution as a dangerous combination.
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Classify actions by impact and reversibility. Require a human approval before destructive, financial, administrative, externally visible, or security-sensitive changes—for example, changing permissions or infrastructure. Ordinary low-impact reads may not need the same approval step, but they still require authorization.
Make an approval specific to the proposed action: bind it to the operation, target, and parameters the person reviewed. Set an expiry, prevent replay, and have the execution component verify the approval when it is about to act. If the parameters change after approval, require a new approval. For permission and configuration changes, OWASP Cornucopia’s Agentic AI AAI9 recommends established change-management controls and explicit operator approval.
How to protect context, memory, and logs
Provide only the data needed for the current task in the model’s context. Scope memory and retrieval by user or session so one person’s information is not exposed to another. Treat retrieved content as untrusted, and avoid placing credentials or sensitive data in ordinary prompts, traces, or logs.
Keep structured records of tool invocations and downstream outcomes so operators can investigate what happened. Redact secrets and sensitive values; record enough context to identify the actor, operation, target, policy decision, and result without copying unnecessary data into the audit trail. Monitoring and rate limits can help detect unusual call patterns and limit the impact of repeated or abusive requests.
How to test runtime controls
Test the execution path, not just whether the model gives an acceptable answer. Include attempts to override instructions, request unauthorized tools, escalate privileges, extract data, poison memory, bypass approvals, or trigger recursive tool use. Verify that a confident or well-formed model request is still denied when the applicable policy forbids it.
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Retest after material changes to prompts, tools, memory, retrieval, authorization policy, or model providers. Keep regression cases for both permitted actions and expected denials, and run them in the deployment process so a new integration or policy change does not silently widen access.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What to evaluate in a runtime control design
When reviewing an architecture or selecting an implementation, examine its enforcement points and failure behavior rather than relying on a generic “agent security” label. OWASP’s recommendations support comparing the following dimensions:
| Dimension | Questions to ask |
|---|---|
| Enforcement | Are policies checked in middleware, a policy service, the tool executor, and the downstream application where needed? |
| Identity | Does the agent act with per-user delegated access or a shared service identity? How narrowly scoped and short-lived are credentials? |
| Tool granularity | Are operations constrained and task-specific, or can the agent issue open-ended shell, URL, or API requests? |
| Isolation | Can execution reach host files, processes, secrets, or unrestricted network resources? |
| High-impact actions | Are approvals bound to exact parameters, time-limited, protected against replay, and checked at execution time? |
| Audit and operations | Can operators trace invocations and outcomes, detect suspicious activity, and understand the operational burden? |
| Verification | Can teams test denials, adversarial inputs, and regression cases as policies and tools change? |
What the OWASP Agent Control Standard says
OWASP’s Agent Control Standard (ACS) page, dated September 1, 2026, describes middleware hooks and declarative safety-policy enforcement intended to be portable across agent frameworks. It states the goal of making agents inspectable, traceable, instrumentable, and controllable at runtime. That is the standard’s stated direction; it does not establish that every framework supports it or that a particular implementation meets those goals.
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