Identity and role context
Apply rules for the person or application identity assigned to the integration. Role information comes from the configured policy environment, giving your team a consistent basis for deciding what that caller may do.
Apply clear business rules before selected AI requests reach your systems. Comply helps teams decide what is allowed, when a person should review an action, what confidential information should be limited in a response, and what decision record to keep.
Comply uses the configured caller's role to evaluate access.
GET /clients/{client_id}Allow this lookup. Apply the configured response controls before returning data.
Post-Response Constraints
account_numberRedact internal_noteFrom the system Returned to the assistant
The account number keeps its last four characters. The internal note field is removed entirely.
Review the request journey, response changes, and associated decision records.
An AI assistant may begin by answering questions, then gain tools that read records, update applications, or start business processes. A broad service credential can give that workflow more reach than the person using it should have. A prompt may also request an action that deserves review even when the underlying credential permits it.
That creates a practical management problem. Security needs a clear boundary. Business owners need policies that reflect how work actually gets done. Compliance teams need evidence of how sensitive interactions were handled. Operations teams need a process that does not turn every ordinary request into a manual ticket.
Comply addresses that gap for selected integrations by placing a policy decision point in the route between an AI tool and a business system. The organization chooses which supported traffic enters that route and configures the rules that should apply there.
Comply brings several governance functions together at one defined integration boundary.
Apply rules for the person or application identity assigned to the integration. Role information comes from the configured policy environment, giving your team a consistent basis for deciding what that caller may do.
Evaluate supported endpoints, parameters, fields, and values before forwarding. Supported requests can proceed, be denied, or wait for a recorded human approval or denial.
Inspect nested response objects and arrays, then mask or redact configured fields and values before the result returns. This protects selected data elements within the governed response.
Generate structured policy suggestions to help teams draft controls. A person reviews and activates the policy, keeping accountability with the people who own the business rule.
Inventory configured capabilities and surface schema changes that may affect policy. Teams can review what changed and validate the route behavior for the selected release.
Retain policy decisions and human approvals or denials in linked audit records. Integrity checks on the active record chain help teams investigate whether that record has changed.
A permitted connection should still have limits. Comply can check the operation and configured request details, including required information, allowed values or numeric ranges. A denied request stops before the business API. A request selected for human review waits for that decision instead of being forwarded immediately.
On the request side, configured rules can supply a default when a value is absent or mask a selected value before forwarding. For a registered integration, Comply can also translate an agent tool call into the method, address and request format that the business API expects. These are defined rules and mappings, not an AI rewriting the business intent.
The API may return more information than the agent needs. Comply can remove configured fields, mask selected values, or withhold a response when a configured rule requires it. These controls can apply within nested data and lists. They do not replace the business application's responsibility for deciding which records the caller may access.
Request, response and review decisions contribute to the audit record. Your team can inspect how the configured policy handled the exchange, including the available original and effective request or response details. We define evidence access and retention with the evaluation scope because those records can themselves contain sensitive information.
These examples show how a scoped evaluation can turn an operating concern into a testable control design.
An AI-assisted workflow can read approved account information, but a request to change payment details is held for a designated reviewer. The team tests three roles, the approval path, and the decision record.
A professional-services team routes a supported client-record lookup through Comply. The response returns useful operating context while configured confidential fields are masked for the selected role.
A service workflow requests the same supported action for an operator, a manager, and an automated workload. Policy allows one, holds one for review, and denies one, then records each outcome for inspection.
Organizations in financial services, healthcare, government contracting, legal services, and other controlled environments often need to show more than a written policy. They need accountable owners, consistent handling of selected interactions, protection for confidential information, and evidence that supports internal or external review.
Comply can contribute those mechanisms within the route and scope selected for evaluation. It can connect a configured policy to a decision, preserve available role and request context, and retain reviewable events. The organization and its qualified advisers remain responsible for deciding which obligations apply and whether the overall control program is sufficient.
See how Comply records decision evidence or review the governance and regulatory context.
A useful evaluation begins with one business operation, the supported endpoint or tool path, the caller identities and roles involved, and the decisions the policy should produce. The scope also defines response fields that need masking or redaction, which requests are supported for human review, who owns each decision, and what evidence reviewers expect to inspect.
Success measures should be observable. A team might require the expected allow, deny, and hold outcome for representative role and request combinations; correct masking of selected fields; a completed approval and denial path; a visible response to an agreed schema change; and audit events that match the tested decisions. Hosting, publisher support access, operating responsibilities, and acceptance criteria are agreed for the private evaluation.
Requests outside the routed scope are not governed by Comply. Response controls mask or redact configured fields and values rather than providing general row-level authorization. We begin in a controlled, non-production setting. An evaluation has its scope and acceptance criteria agreed with your team.
Comply applies policy to supported API and tool traffic deliberately routed through its configured boundary. Traffic that bypasses Comply is outside its control.
For an agreed integration, Comply can use configured caller identities and policies to allow, deny, or hold supported requests for approval. It can also apply supported field and value controls to responses.
No. Comply adds a policy decision point for the routed interaction. The connected application still needs its own appropriate identity, credential, and authorization design.
No. Comply can provide controls and decision evidence within a defined scope, but it does not confer certification or automatically satisfy legal or regulatory obligations.
We begin with a scoped private evaluation with the supported route, hosting, support, and success criteria agreed for the selected workflow.
Start with a 30-minute conversation. We will clarify the business need and determine whether a scoped assessment with an agreed scope or a direct product discussion is the right next step. An assessment does not require a product purchase.