Test the actual money movement
Scenarios are designed around permissions, transaction paths, escalation rules, and customer moments—not a generic benchmark.
Fintech agent assurance
Prove it before release.
AgentSure red-teams consequential AI workflows, turns failures into reproducible evidence, and keeps critical behavior under review after launch.
Red-teamed. Monitored. Assured.
Assurance status
Release review / active
Risk posture
Under review
Recent test signals
Why AgentSure
We give product, engineering, risk, and compliance teams an evidence trail they can review together—before a risky behavior becomes a customer incident.
Scenarios are designed around permissions, transaction paths, escalation rules, and customer moments—not a generic benchmark.
Every finding includes the trigger, transcript, expected behavior, severity, and the context needed to reproduce it.
Critical scenarios run again as prompts, models, tools, policies, and customer journeys evolve.
The assurance loop
Pressure-test decisions, tool calls, permissions, guardrails, escalation paths, and policy adherence with realistic high-stakes conversations.
Re-run critical scenarios whenever prompts, models, policies, tools, or workflows change—before the new version reaches customers.
A managed review loop surfaces drift and newly risky behavior that automated dashboards alone can miss.
Keep a traceable record of coverage, findings, fixes, and release decisions to support your own internal governance and review processes.
Before the next release
Tell us what your agent can do, who it serves, and the failure that would matter most. We'll outline a focused assurance plan.