Agent tool-call authorization and audit gateway

Reduce standing access while keeping a reviewable record of every agent tool call. For platform and security teams connecting AI agents to internal tools and third-party services, convert agent identities, tool scopes, consent records and policy rules into per-call authorization decisions with signed audit records. The benefit is a testable hypothesis, measured through blocked unauthorized calls per review cycle and audit records complete without manual reconstruction; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect agent identities, tool scopes, consent records and policy rules, then follow this sequence: 1. Authenticate agents and MCP clients before tool calls. 2. Issue delegated scoped tokens for user-on-behalf actions. 3. Evaluate fine-grained permission rules per request. Resolve uncertain cases with qualified reviewers, approve per-call authorization decisions with signed audit records, and measure blocked unauthorized calls per review cycle and audit records complete without manual reconstruction against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate policy rules for the three stated task modules. Use deterministic code for token signing, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One approved MCP server and one identity provider; final policy approval and incident response remain security. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve least privilege, source attribution, consent accuracy and usage permissions. Security owners approve policy changes and incident scope. One approved MCP server and one identity provider; final policy approval and incident response remain security. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

What to build first

Pilot scope: One approved MCP server and one identity provider; final policy approval and incident response remain security. Implement one approved input format, a bounded representative case set and the first two task modules: authenticate agents and MCP clients before tool calls; issue delegated scoped tokens for user-on-behalf actions. Support the third module with operator review: evaluate fine-grained permission rules per request. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

What it can connect to

Customer-owned identity providers, MCP servers and internal tools. Cloud secret storage, SIEM export and ticketing destinations. Start with file exchange and validate destination specifications before promising direct enforcement. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Connection and identity setup, Policy and consent workspace, Live decision log and audit view. Use a list of connected tools and agents, a central policy editor with per-tool scope rules, and a right-hand panel for consent grants, approval requests and risk flags. Let users compare policy versions side by side. Display active, blocked, pending approval and revoked states. Provide a client preview link for consent review with comments anchored to the relevant scope. Make the task-specific outcome per-call authorization decisions with signed audit records visible beside its evidence, review state and value baseline.