Industries · Financial services
AI Agent Security for Financial Services
Scope transaction permissions, customer data access and approvals alongside your existing risk process.
A control scenario
A payments agent must not raise its own limit or send funds to an unapproved beneficiary. Define enforcement outside the model and test altered arguments, expired approvals and unavailable dependencies.
Delivery context
Bring security, model risk, compliance and business owners into the scope. Identify which regulations and internal policies apply to the actual entity and use case; do not assume every AI agent is subject to the same requirements.
Useful starting points
What to test in a financial-services deployment
- Transaction authority: Keep payment creation, approval and release permissions distinct. Test amount, currency, beneficiary and duplicate-request constraints outside the model.
- Customer data: Scope retrieval to the task and user entitlement. Verify that a document or tool response cannot authorise a new export destination.
- Review continuity: Record the agent and policy versions, approval context and exceptions. Connect changes to the organisation's existing model and operational risk review.
A scoped engineering test can supply evidence for that process. It does not determine whether an entity is legally in scope or replace the institution's risk decision.
Start with a clear scope
Tell us which systems, actions and review requirements are in scope. We will discuss the work, responsibilities and deliverables before you commit.