See insurance AI and its connections
Map supported models, data sources, and tools behind customer and employee AI applications.
Insurance AI security
Secure AI across the insurance business
See where AI is connected to sensitive data and business tools. Test how supported applications respond to untrusted inputs and prohibited requests, then apply guardrails to connected production interactions.
The challenge
Insurance AI has access that needs careful boundaries
Customer-facing and internal AI can draw on personal information, documents, and operational systems. Without clear visibility and testing, an assistant may disclose information or request an action beyond the user's authority.
The Repello approach
Inventory maps supported applications and their data and tool connections. ARTEMIS tests connected browser and API workflows for exposure and unsafe behavior. ARGUS applies configured policies to supported production interactions; insurers retain responsibility for identity, coverage, claims, and underwriting decisions.
How Repello helps
Test real application behavior
Probe supported workflows for prompt injection, sensitive-data exposure, and unintended tool requests.
Apply production guardrails
Configure ARGUS policies for supported AI interactions while insurer systems enforce business rules and approvals.
Review evidence and retest
Connect attack findings to policy outcomes, address weaknesses, and reassess changed workflows.
What Repello gives your team
Bring AI security evidence into insurance oversight
Give security and application owners a practical way to review connected access, tested behavior, and runtime policy decisions.
Surface risk before deployment
- Understand what data and tools a supported AI application can reach.
- Test whether untrusted inputs cross data or action boundaries.
- Share reproducible findings and mitigation guidance with the owner.
Review controls during live use
- Apply configured policies at supported AI enforcement points.
- Distinguish detections from confirmed blocks in policy events.
- Use technical evidence alongside the insurer's own approval and governance processes.
Frequently asked questions
Questions about insurance AI security.
Which insurance AI applications can Repello assess?
Inventory maps supported data and tool relationships. ARTEMIS tests connected customer-facing or internal applications through a browser interface or API. Coverage depends on the integration and workflow you authorize, whether it supports service, claims, knowledge, or another function.
What AI security risks can we test?
ARTEMIS can probe supported workflows for prompt injection, sensitive-data exposure, and unsafe tool use. Submitted documents and retrieved content can be included as untrusted inputs when they are part of the application experience.
Can we test without live policyholder information?
Yes. Synthetic records and separate test identities can reproduce a security boundary without using live personal data. Define the permitted environment, data, and actions with the application owner first.
What happens after a test finds a weakness?
ARTEMIS provides the observed attack path and mitigation guidance. The application owner can fix the relevant control and rerun the test. For connected production workflows, ARGUS policy events provide separate evidence of live detections or blocks.
Does Repello decide claims, coverage, or underwriting outcomes?
No. Repello assesses AI security behavior and can apply configured policies to supported interactions. Coverage interpretation, underwriting judgment, claim decisions, approvals, and human review remain with the insurer and its systems.
Does Repello certify compliance with insurance guidance?
No. Repello can provide technical visibility, attack findings, and runtime policy evidence for internal review. An insurer's broader governance, documentation, and regulatory compliance require separate assessment by responsible teams.
See Repello in action
Get a personalized Repello demo.
Bring an insurance AI application your team is evaluating or operating. See its connections, test a relevant security boundary, and review the evidence available for ongoing oversight.