Set Boundaries for Financial AI Tool Calls
When an integration routes agent actions through Aynigma, Agent IAM tool policies can limit requests or require human review, and runtime guardrails scan the content around them.
Challenge and solution
Challenge
Financial AI agents may request transfers, account updates, or data access. A customer's integration must decide which calls need policy checks and where a human should review them.
Solution
When an agent submits an authorization request to Aynigma, configured policies can allow, deny, or require approval based on tool and argument rules. The customer's executor must keep financial credentials and perform the approved action; Aynigma does not execute payments or trades. Decisions routed through the service are recorded in a hash-chained audit log.
Key capabilities
Tool-Call Policies
Configure tool and argument constraints for requests submitted to the authorization API.
Human Review
Require a reviewer for configured actions before the integrated executor proceeds.
Agent Identity
Issue project-scoped agent credentials for callers using the authorization flow.
Runtime Guardrails and Audit
AI Protect scans prompts, responses and tool results, including a finance policy template. Review hash-chained authorization records.
What you get
Action Scope
Limit the requests an integrated agent can ask an executor to perform.
Reviewable Decisions
Keep authorization events available for internal control review.
Human Oversight
Route configured high-risk actions to a reviewer before execution.
Integration Clarity
Keep credentials and final execution in your own financial-system adapter.
Discuss a financial AI use case.
Review the authorization flow, supported controls, and deployment requirements with our team.