AI agents can access sensitive data, call tools, make decisions, and complete transactions at machine speed. Before an enterprise gives an agent that authority, its leaders need evidence-based answers to three questions: Is this agent trustworthy. Who authorized it, and what is it allowed to do? This Know Your Agent compliance checklist provides a repeatable way to evaluate those answers.
Book a Vouched Know Your Agent demo to see how verified ownership, explicit delegation, and enforceable permissions can support accountable AI agent operations.
The checklist is designed for product, compliance, risk, security, engineering, and trust and safety teams evaluating agent identity, delegation, permissions, enforcement, governance, logging, revocation, and incident response. It is a practical evaluation framework, not legal advice or a guarantee of regulatory compliance. Consult your legal and compliance teams when adapting it to your organization.
Know Your Agent compliance checklist at a glance
A Know Your Agent compliance checklist is an enterprise control framework for confirming an AI agent's identity. Accountable owner, delegated authority, permissions, runtime enforcement, activity records, and revocation path. Teams can use it during vendor selection, production approval, periodic reviews, and incident exercises.
| Control area | Enterprise buyer question | Evidence to request |
|---|---|---|
| Identity | Can we uniquely identify the agent and verify its provenance? | Agent identifier, creator, model, and version record |
| Accountability | Is the agent linked to a verified, accountable human or organization? | Owner verification and responsibility record |
| Delegation | Who authorized the agent, for what purpose, scope, and duration? | Signed authorization and delegation chain |
| Permissions | Are permissions explicit, least-privileged, and time-bound? | Policy definitions and access review results |
| Enforcement | Are policies enforced at runtime before sensitive actions occur? | Policy decision and denial logs |
| Logging | Can every material action be traced to its identity and authorization? | Tamper-evident action and decision logs |
| Revocation | Can access and delegated authority be revoked immediately? | Revocation test and credential invalidation record |
| Incident response | Can teams contain, investigate, and recover from agent incidents? | Runbook, escalation map, and exercise results |
Use this table as a screening tool, not a final approval. Each control should have a named owner, evidence that it operates as intended, an exception process, and a clear remediation deadline. A provider's policy statement is useful context, but it is not a substitute for a demonstration, log sample, or test result.
Why does Know Your Agent matter for enterprises?
Know Your Agent matters because conventional credentials can show that a request has a valid token without proving whether an AI agent is approved. Who is accountable for it, or whether the requested action is within its delegated authority. KYA adds identity, ownership, authorization, and governance context to access decisions.
The distinction becomes important as agents move beyond drafting content or answering questions. An agent that can change a customer record, trigger a payment. Or call an external service creates operational risk if teams cannot distinguish an approved deployment from a copied, compromised, outdated, or unauthorized one. A familiar login alone does not answer whether the agent should perform a specific action now.
A practical control model connects the agent to an accountable owner and evaluates every sensitive request against explicit permissions. This is consistent with the broader risk-management focus of the NIST AI Risk Management Framework, which helps organizations govern and manage AI risks. For more context on how agents are created and deployed, review Vouched's guide to creating an AI agent online.
How should teams verify every agent and owner?
Teams should assign every production agent a unique identity, record its provenance and purpose, and link it to a verified accountable owner. That identity record should remain current across creation, testing, deployment, material changes, suspension, and retirement so operators can distinguish approved agents from impersonators or abandoned deployments.
Start with an inventory. Every agent record should include its unique identifier, documented purpose, approved environment, model and software version, creation source, integrations, risk classification, lifecycle status, and responsible business owner. Without this foundation, a team cannot reliably investigate activity or know whether an agent is still approved.
Next, link the agent to an accountable party. An agent may perform work autonomously, but accountability cannot be autonomous. Record the verified human or organization responsible for deployment, permissions, monitoring, and retirement. Establish how ownership transfers when employees change roles or vendors change. Vouched's agent verification guide explains the trust questions that arise when agents interact with digital systems.
Identity review questions
- Can the agent prove its identity before accessing a service?
- Can systems detect an agent rather than treating it like an ordinary human user?
- Is the agent linked to a verified human with a clear accountability record?
- Can teams identify cloned, spoofed, outdated, or unregistered agents?
- Does the inventory show active, suspended, and retired agents?
- Does a material model, tool, or ownership change trigger re-review?
Vouched Know Your Agent (KYA) is purpose-built to detect agents, link them to verified humans, and support explicit authorization and permissions. Enterprises that also need to verify human users can review Vouched's identity verification platform.
How do delegation and authorization differ?
Delegation records who gave an agent authority and for what purpose, while authorization determines whether a particular request is allowed under that authority. Strong controls preserve the complete delegation chain, apply its constraints at runtime, and prevent a downstream agent from receiving more authority than the original grant allowed.
A useful delegation record shows the authorizer, business purpose, allowed actions, approved systems, data boundaries, duration, and expiration. It should also show whether the agent can delegate work to another agent. The record needs to be inspectable and revocable by an authorized person, not hidden inside a static credential or application configuration.
Consider a procurement agent approved to collect quotes up to a certain value. That purpose should not silently grant permission to approve purchases, change payment instructions, or share supplier data with an unapproved service. The authorization layer should evaluate each requested action against the approved purpose and limits, then record the decision.
Delegation review questions
- Is authorization explicit rather than inferred from possession of a credential?
- Does it include scope, purpose, duration, and an accountable approver?
- Can the authorizer inspect and revoke the delegation?
- Are downstream delegations visible and restricted?
- Does high-risk authority require independent approval?
- Can the platform explain why an action was allowed or denied?
Explore Vouched KYA and request a demo to evaluate how agent identity and delegation controls can fit your workflows.
Define permissions and enforce them at runtime
Runtime enforcement turns written policy into active protection. Enterprises should grant each agent only the tools, data, actions, and environments required for its approved purpose, then evaluate requests before execution. Sensitive actions should trigger additional checks, human approval, or denial when context or risk changes.
Separate read, write, approval, and transaction authority. Use time-bound access for temporary work and require periodic reauthorization for persistent agents. A general permission such as "access the CRM" is rarely precise enough. A safer policy might allow an agent to read specified account fields and draft an update while requiring a human to approve a customer-facing change.
Written policy is not enough if the controls cannot interrupt an action. Enforcement should happen before an agent reaches a protected tool, changes data, or completes a sensitive transaction. It should fail safely when identity, authorization, or policy services are unavailable.
Permission and enforcement controls
- Deny by default and permit only named actions.
- Keep authentication separate from authorization.
- Apply transaction, rate, data, and tool limits.
- Require approval for irreversible or high-impact actions.
- Reevaluate permissions when the agent, owner, purpose, or environment changes.
- Test that denied actions fail safely and generate alerts.
These controls are especially relevant where agents can transact on behalf of users. Vouched's overview of agentic commerce describes how delegated agent actions are changing online buying.
Build auditability and governance into every action
Auditability requires a connected record of the agent identity, accountable owner, authorization, policy decision, requested action, result, timestamp, and relevant context. Governance assigns owners to review those records, test controls, approve exceptions, and resolve gaps on a schedule based on risk.
Logs should help operators, investigators, auditors, and business owners reconstruct what happened. Protect records from unauthorized changes, restrict access to them, and define retention based on legal, security, and business requirements. A useful record should show not only that an agent made a request, but also which policy allowed or denied it.
Assign clear governance owners. Product and engineering teams may own functionality and integration; security may own technical controls; compliance and risk may define review requirements; business owners should approve purpose and authority. A cross-functional review process prevents critical decisions from falling between teams.
Ongoing governance cadence
- Monitor unusual actions, repeated denials, privilege changes, and new delegation paths.
- Review access and ownership on a risk-based schedule.
- Reassess agents after material model, tool, workflow, or policy changes.
- Preserve evidence that controls were tested and exceptions were resolved.
- Track owners and deadlines for every identified gap.
How should enterprises plan for agent incidents?
Enterprise incident plans should make it possible to identify an affected agent, stop active sessions, revoke every delegation path, preserve evidence, assess impact, and restore service safely. Teams should test this sequence before an incident and confirm that removing an inventory label also removes the agent's actual authority.
- Contain the agent. Stop active sessions and prevent new actions at enforcement points.
- Revoke delegated authority. Disable permissions and invalidate tokens, keys, and credentials.
- Preserve evidence. Retain relevant identity, authorization, policy, action, and system logs.
- Assess impact. Identify affected systems, data, transactions, users, and downstream agents.
- Escalate and communicate. Notify named security, legal, compliance, business, and vendor owners according to the runbook.
- Recover safely. Correct unauthorized changes, rotate credentials, and validate controls before restoring access.
- Review and improve. Document root causes, control failures, lessons, and remediation owners.
A tabletop exercise can expose practical gaps. For example, a security team may successfully disable one credential while overlooking a downstream delegation or active session. Exercises should verify that teams can find the full chain, stop it quickly, retrieve useful evidence, and confirm that recovery controls work.
What should enterprise buyers ask a KYA provider?
Enterprise buyers should ask a KYA provider to demonstrate how it detects agents, verifies accountable owners, records authorization, enforces granular permissions, preserves decision logs, and revokes authority. The strongest answers include operational evidence and live demonstrations rather than broad policy statements or unsupported compliance guarantees.
- How does the platform distinguish agents from human users?
- How are agents linked to verified owners and explicit authorizations?
- Can it express and enforce granular, time-bound permissions?
- Where does enforcement occur, and what happens when the service is unavailable?
- Can we inspect complete delegation chains and policy decisions?
- How quickly can we revoke an agent and invalidate its authority?
- What logs, exports, alerts, integrations, and retention options are available?
- How does the provider handle data access, tenant separation, and administrative privileges?
Ask the provider to walk through four scenarios: an unauthorized request, a privilege change, a revocation, and an incident investigation. Document which evidence is available to your team, how long it is retained, and what integration work is required. This creates a more reliable comparison than feature labels alone.
Frequently asked questions
What is Know Your Agent?
Know Your Agent is a trust and governance approach for identifying AI agents. Linking them to accountable verified humans, recording who authorized them, and controlling what they are allowed to do.
Is a Know Your Agent checklist a legal compliance guarantee?
No. A checklist helps teams evaluate and document controls, but it is not legal advice and cannot guarantee compliance. Requirements vary by jurisdiction, industry, use case, and risk profile.
How often should agent permissions be reviewed?
Use a risk-based schedule and also review permissions whenever ownership, purpose, model, tools, data access, environment, or applicable requirements materially change.
Why link an AI agent to a verified human?
The link creates an accountability path. It helps an enterprise understand who authorized the agent, who is responsible for its use, and who can review or revoke its authority.
Turn the checklist into enforceable controls
A checklist gives enterprise teams the right questions. Effective KYA turns the answers into an operating model built on verified identity, accountable ownership, explicit delegation, runtime enforcement, auditability, and tested revocation. Start with high-risk agent workflows, name control owners, collect evidence, and close gaps before expanding authority.
Book a Vouched Know Your Agent demo to see how accountable agent delegation can work across your enterprise workflows.