Security testing for AI agents with financial authority.
Adversarially test payment-capable AI agents before they reach production. Detect authorization failures, prompt injection, payment integrity issues, transaction manipulation, and unsafe tool behavior.
Security tests
16
Resisted
11
Exploited
5
Critical findings
5
What we test
Test the boundaries that matter when an agent can move money.
AgentPaySec evaluates whether an AI agent behaves safely when exposed to adversarial inputs, untrusted content, ambiguous states, and financial workflow edge cases.
Authorization
Test whether an agent can execute financial actions beyond the user's approval.
Prompt Injection
Test whether untrusted content can manipulate the agent into unsafe financial actions.
Payment Integrity
Test payment amounts, retries, execution boundaries, and financial controls.
Transaction Integrity
Test whether order or transaction state can be manipulated before payment.
Tool Misuse
Test whether an agent can misuse the tools and permissions available to it.
Business Logic
Test whether ordinary workflow rules can be manipulated into financial impact.
How it works
Test what the agent actually does.
Each security test compares expected secure behavior against the agent's actual tool calls, transaction state, and resulting financial action.
01
Adversarial test
02
Agent execution
03
Tool calls
04
Transaction state
05
Security finding
Interactive demo
See how a financial-agent security assessment looks.
Explore a completed assessment through an interactive replay. No account, setup, or live agent execution is required.
Open Assessment PreviewPublic demo results are based on simulated security tests.
For teams building financial agents
Test your own agent before it reaches production.
Share your agent's capabilities and workflow. We can run an adversarial security assessment focused on financial risk.
Request an Assessment