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Connect the agent through the app’s official OAuth or delegated-access flow whenever one exists. Approve only the scopes, resources, operations, and duration the task requires; keep API keys in a secrets manager or credential broker rather than in prompts; use a separate agent identity for background work when appropriate; require human approval for destructive actions; log the agent’s activity; and test that revocation actually stops access.
The safe access pattern in one view
An AI agent does not need your primary password to read a calendar, update a project record, query a database, or call a cloud service. The safer design is to create a controlled authorization boundary between the model and each app:
- Authorize through the app’s supported flow. Use OAuth, administrator consent, or another documented delegated-access mechanism instead of giving the agent a username and password.
- Choose the identity. Decide whether the agent should act in a particular user’s context or through a separate application or agent identity.
- Limit the grant. Restrict it to the smallest useful resource set, operations, tools, and time period.
- Keep secrets out of model-visible channels. A trusted integration should retrieve credentials at runtime from an approved secrets system.
- Put people in the loop for high-impact actions. Deletion, publishing, money movement, privilege changes, and similar operations should require an explicit approval step.
- Make shutdown and auditing routine. Record which agent acted, test token invalidation, remove stale grants, and rotate credentials if exposure is possible.
OAuth is an authorization transport, not a guarantee of safety. An agent can use everything its token, role, or downstream tool allows. The controls above must therefore be applied to every tool and every API hop in the workflow.
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Look for delegated OAuth or administrator consent
Open the app’s documented integrations or developer settings and look for an official “Connect,” “Authorize,” “Sign in with,” OAuth, or administrator-consent flow. The exact labels and available options differ by product and tenant. Microsoft’s guidance for agents accessing Microsoft 365 describes consent and authorization systems that can grant delegated permissions, application permissions, resource-scoped access, and, in some cases, per-team Resource-Specific Consent.
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Use that flow from the app or identity provider, not from an agent prompt. The consent page should identify the requesting application, the account or tenant being accessed, the requested scopes, and (where supported) the resources covered by the grant.
Inspect the consent screen before approving
Read each permission in plain language. A request to read a specific workspace is materially different from a request to read every workspace. “Read” is different from “write,” and “write” is different from delete, sharing, billing, or administrator privileges. If the screen does not make the scope clear, stop and consult the app’s permission documentation rather than approving by default.
- Confirm the app name and publisher are the expected ones.
- Check the account, organization, workspace, team, folder, repository, or project being granted.
- Separate read, create, update, delete, sharing, and administrative permissions.
- Look for an expiry date, offline-access or refresh-token option, and a way to remove the grant later.
- Reject permissions unrelated to the agent’s stated job.
Do not fall back to password sharing
If an app offers a supported delegated connection, do not paste your main password into an agent configuration, prompt, chat, or setup form. Password sharing gives the agent the same broad authority as the account, often bypasses useful application-level controls, and makes rotation and attribution harder. A password can also expose unrelated data and services linked to the same account.
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2. Decide whose identity the agent should use
The identity choice determines whose permissions appear in logs, how access is removed, and whether the workflow depends on a person’s account. Neither model is automatically safe; both still require least privilege and lifecycle controls.
| Access model | Useful when | Advantages | Risks and controls |
|---|---|---|---|
| Delegated user access | The agent must act within a particular user’s approved context, such as organizing that user’s files or drafting replies for that user. | Existing user permissions and business context can be reused; actions can be attributed to the authorizing user plus the agent. | A broadly privileged user account can make the agent overpowered. Limit scopes and resources, distinguish agent activity in logs, and revoke the user’s grant when the workflow ends. |
| Separate application or agent identity | A background process runs independently of a person’s session or needs centrally managed ownership. | Ownership, permissions, rotation, monitoring, and shutdown can be managed separately from employee accounts. | Administrators must define a narrow role, assign a responsible owner, monitor use, rotate credentials, and remove the identity when the workload is retired. |
| Direct API secret | A legacy or API-only service has no suitable delegated authorization flow. | Can connect systems that support only keys or shared secrets. | Keys may be long-lived and high impact. Store them in a secrets manager or broker, constrain the integration, and ensure the raw value never reaches the model, prompts, memory, traces, or ordinary logs. |
Microsoft’s documentation distinguishes delegated permissions, which operate on behalf of a user, from application permissions, which allow an application to act independently. Choose delegated access when the user’s context is essential; choose an application or dedicated agent identity when the workload should continue without that user. In either case, define who owns the identity and who is responsible for reviewing its activity.
3. Grant the minimum useful access
Scope the resource
Begin with one project, repository, mailbox, folder, database schema, team, or workspace instead of an entire organization. If the task can run against a fixed list of records, encode that list in the integration. If a service supports resource-specific consent, use it rather than a tenant-wide grant.
Scope the operation
Start read-only when the task is analysis, search, summarization, classification, or drafting. Add create or update only when the agent must change records. Treat delete, publish, share, invite, billing, security-policy, and privilege-management operations as separate high-risk capabilities, not as an inevitable part of “write” access.
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Scope the tool surface
An agent’s effective authority is the combination of its identity, token scopes, enabled tools, and the permissions of downstream services. Disable tools the workflow does not need. Review connectors that can call other APIs, execute code, upload files, send messages, or follow links. A later hop must not silently widen the original grant; the downstream service should enforce its own authorization checks.
Scope the duration
Prefer short-lived access tokens, expiring grants, and scheduled reviews where the platform supports them. Avoid permanent refresh access for a one-time migration. Record the intended end date even when the product does not enforce one, then add a calendar or ticket reminder to remove the grant.
AWS guidance on generative AI agents emphasizes least privilege and entitlement boundaries. Microsoft guidance similarly recommends inventorying agent identities and tools, testing revocation, and applying step-up controls to consequential actions. These principles apply whether the agent is built into a commercial app or assembled from custom tools.
4. Keep API keys and passwords out of the model context
Use a secrets manager or credential broker
For an API-only integration, place the key, client secret, certificate, or password in an approved secrets-management service. The tool server or trusted integration retrieves the secret at runtime, authenticates to the target service, and returns only the operation result to the model.
AWS Prescriptive Guidance recommends Secrets Manager for external-tool credentials and describes AgentCore Identity as a broker that retrieves credentials at runtime without exposing them to the AI application. The important property is the separation: the model selects an allowed connection or operation, while trusted code handles the credential.
Design the tool interface so secrets cannot leak
- Expose an opaque connection name or tool identifier, not the secret value.
- Allow only predefined operations and validated parameters.
- Redact authorization headers, cookies, keys, and tokens from errors and traces.
- Prevent tool responses from echoing request headers or configuration objects.
- Keep secrets out of prompts, chat history, agent memory, evaluation datasets, and ordinary application logs.
- Restrict which service account or runtime can retrieve each secret.
If an integration returns a credential into the conversation, the credential has crossed into an agent-visible channel. Secure storage alone does not repair that exposure; rotate the value and redesign the connector so authentication remains outside the model context.
Separate secret protection from permission control
A secrets manager protects the value while it is stored and retrieved. It does not decide whether the agent should be allowed to delete a record, access a different tenant, or call an unrelated API. Pair secret isolation with narrow identity permissions, tool allow-lists, approval gates, audit logs, and revocation procedures.
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5. Require approval for consequential actions
Let the agent prepare or simulate a change, then require a person to approve the final operation when the impact is material. Examples include deleting data, publishing content, sending external messages, changing access rights, moving money, changing infrastructure, or modifying retention and security settings.
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A practical approval sequence
- The agent proposes the exact action, target resource, and material parameters.
- The integration displays a human-readable preview, including additions, deletions, recipients, or cost.
- An authorized person approves through a separate control, not by placing an approval phrase in the same untrusted prompt.
- The tool executes once with the approved parameters and rejects changes made after approval.
- The system records the agent identity, approving person, timestamp, target, result, and any error.
For lower-risk updates, an organization may use policy-based automation, rate limits, or a two-person approval rule instead of reviewing every action. The control should match the potential impact, reversibility, and sensitivity of the operation.
6. Build an audit trail that distinguishes agent activity
Logs should show which agent or application identity acted, which human (if any) authorized it, which tool and resource were used, what operation was requested, whether approval was required, and whether it succeeded. Preserve correlation IDs across the agent, connector, identity provider, and target app so an investigation can follow a request through every hop.
Do not log raw prompts or tool payloads indiscriminately: they may contain personal data or secrets. Redact credentials and minimize sensitive content while retaining enough metadata to reconstruct authorization decisions. Review logs for unexpected resources, unusual volume, repeated denials, privilege changes, and access outside the intended schedule.
7. Plan and test revocation before connecting the agent
Know every shutdown point
Document how to remove the app grant, disable the agent or service identity, invalidate active access and refresh tokens, revoke sessions, and rotate any secret that could have been exposed. Include the identity provider, the target app, the connector, and downstream services; disabling only one layer may leave another valid path.
Run a revocation test
- Connect the agent with a test resource and record the token, grant, identity, and connector involved.
- Disable the agent identity or remove its app consent.
- Invalidate active tokens and refresh tokens using the provider’s documented controls.
- Attempt a previously permitted read and write operation.
- Confirm that the target rejects the request and that logs show the denial.
- Re-enable only the minimum access needed for production, then repeat the test after any major configuration change.
Microsoft guidance calls for testing revocation paths, including disabling an agent, rotating credentials, invalidating tokens, and removing stale permissions. Its security guidance also recommends a fast shutdown path and lifecycle management. Do not assume that a toggle in an administration screen immediately invalidates already-issued tokens; verify the behavior with an actual request.
Rotate after suspected exposure
If a password, key, token, or client secret appeared in a prompt, transcript, trace, ticket, screenshot, or log, treat it as exposed. Revoke or rotate it, inspect access logs for misuse, remove copied values, and issue a replacement through the secrets system. Do not simply hide the message and continue using the same credential.
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Which access model should you choose?
| Question | Delegated user OAuth | Separate agent or application identity | API secret through a broker |
|---|---|---|---|
| Whose permissions apply? | The consenting user, constrained by the granted scopes and resource rules. | The role or permissions assigned to the application or agent identity. | The account associated with the secret, constrained by the target service and connector. |
| Does a person need to be present? | Often for initial consent and sometimes for renewed or step-up access. | No ongoing user session is required for a background workload. | No, once the runtime can retrieve the secret. |
| Best fit | User-specific work such as organizing that user’s approved data. | Scheduled jobs, shared workflows, and centrally owned automation. | Legacy or API-only systems without a suitable delegated flow. |
| Main failure mode | The user’s broad permissions make the agent too powerful or the grant remains after the task ends. | The role becomes an unowned, overprivileged service account. | A long-lived key leaks or grants more authority than the integration needs. |
| Required safeguards | Review scopes, limit resources, log agent activity, and revoke consent. | Assign an owner, use least privilege, monitor, rotate, and test shutdown. | Use a secrets manager or broker, restrict operations, redact logs, rotate, and revoke. |
Compare the choices on six axes: identity ownership, resource and operation scope, whether a secret enters model-visible context, authorization lifetime, approval requirements, and the ability to revoke and audit the connection.
Protect the account that grants access
The account used for consent or administration should have phishing-resistant multi-factor authentication. The Australian Cyber Security Centre recommends phishing-resistant MFA for AI-related accounts and secure handling of API keys through approved secrets-management services. A FIDO2 hardware security key is one physical way to implement phishing-resistant MFA for a user or administrator account.
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Implementation recipes
Recipe A: Connecting a user-oriented SaaS app
- Open the app’s official integrations page and select its OAuth or administrator-consent connection.
- Choose a test workspace, project, folder, or other smallest useful resource.
- On the consent screen, deny unrelated scopes and any write or sharing permission not required for the first task.
- Complete consent with the intended user account, then verify the resulting grant in the app or identity-provider access panel.
- Run a read-only test and confirm the audit log identifies the agent separately from the human.
- Add one write capability at a time, placing a human approval gate before consequential operations.
- Record the owner, purpose, scopes, resources, creation date, review date, and removal procedure.
Recipe B: Connecting an API-only service
- Create a dedicated service identity or key with only the required endpoint and resource permissions.
- Store the secret in the organization’s approved secrets manager.
- Configure the connector to retrieve the secret at runtime; expose only an opaque connection reference to the agent.
- Allow-list operations and validate parameters before the request reaches the service.
- Redact headers, tokens, and sensitive response fields from logs and error messages.
- Set a rotation schedule and document how to disable the key and invalidate active sessions.
- Test that the model cannot retrieve or repeat the raw secret through prompts, tool errors, memory, or traces.
Recipe C: A centrally managed enterprise agent
- Register the agent or application in the organization’s identity system and assign a named owner.
- Inventory every tool, connector, downstream API, and data store the agent can reach.
- Assign resource-scoped permissions and separate read-only tools from write-capable tools.
- Require step-up approval for deletion, privilege changes, external communication, and other high-impact actions.
- Send identity and tool-use events to the organization’s audit system with correlation IDs.
- Set review and expiry dates, then rehearse disabling the identity, invalidating tokens, and removing stale grants.
Microsoft Entra Agent ID is relevant to Microsoft deployments that need managed agent identities and access governance; it is not a prerequisite for a personal or small-team connection. Product-specific permissions, plan limits, regional availability, and revocation behavior vary, so verify the current controls in the particular app and tenant.
Common mistakes and how to correct them
| Symptom | Why it is risky | Correction |
|---|---|---|
| The setup asks for a primary account password. | The agent receives broad, difficult-to-audit authority and may expose unrelated services. | Stop and look for official OAuth, delegated consent, or a dedicated service identity. |
| Every scope is accepted because the connection “works.” | Unneeded read, write, sharing, or administrative permissions increase blast radius. | Remove the grant, reconnect with the smallest useful scopes, and test each added capability. |
| An API key appears in a prompt, transcript, or tool error. | The value is now agent-visible and may persist in history, memory, traces, or logs. | Rotate it immediately and move authentication into a secrets manager-backed connector. |
| A user’s full permissions are reused for a background job. | Changes to the user’s account can silently expand the agent’s authority. | Create a separately owned application or agent identity with a fixed role. |
| The agent can delete or publish without review. | A prompt error or malicious instruction can cause irreversible or external impact. | Split proposal from execution and require explicit approval for the final operation. |
| Turning off the agent appears not to stop access. | Previously issued access or refresh tokens may remain valid. | Invalidate tokens, remove consent, disable the identity, and verify with a real request. |
| Logs show only a generic service account. | Investigators cannot tell which agent, user, tool, or request caused a change. | Record agent identity, human approver, tool, resource, operation, timestamp, result, and correlation ID. |
| A connector can call a second service with broader rights. | A downstream hop can bypass the original resource or operation boundary. | Apply authorization independently at each service and constrain the connector’s allowed destinations. |
Pre-connection checklist
- Does the app provide official OAuth, delegated consent, or an administrator-approved integration?
- Have you identified whether the agent needs a user identity or a separate application identity?
- Are the resource, operation, tool, and time scopes the smallest that complete the task?
- Are all writes, deletions, privilege changes, and external sends protected by approval or another step-up control?
- Are API keys and passwords stored in an approved secrets manager or broker, never in model-visible text?
- Can logs distinguish the agent from the human who authorized it?
- Do you know how to remove consent, disable the identity, invalidate tokens, and rotate credentials?
- Have you tested revocation against an actual previously permitted request?
- Is phishing-resistant MFA enabled on the account that grants or administers access?
- Is there an owner and a review or expiry date for every grant?
What this approach does—and does not—guarantee
Delegated authorization, least privilege, credential isolation, approval gates, auditability, and tested revocation substantially reduce the consequences of an agent mistake or compromise. They do not make an agent harmless. A narrowly scoped token can still expose sensitive data within its boundary, and a permitted write can still be wrong. Review the app’s current permission screen and documentation for exact scopes, tenant behavior, regional availability, token lifetime, and revocation semantics.
The practical standard is simple: the agent should receive only the authority needed for a defined task, never receive your primary password or raw API secret, require a person for high-impact actions, and be removable in a procedure you have already tested.
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