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Insurance

Stop Claims and Health Data Leaks

Protect policyholder PII, claims files, and medical records across chatbots, copilots, and agent tool calls.

Stop Claims and Health Data Leaks

Claims adjusters, underwriters, and service agents now move claims files, medical records, and policyholder PII through AI prompts, model responses, and MCP tool calls. Traditional DLP inspects files and email, not these interactions. PointGuard AI applies data protection policies at each AI interaction point, helping carriers keep regulated data within approved boundaries while teams continue to use AI.

Challenges

Regulated insurance data can leave approved systems through AI channels that existing controls do not inspect.

  • Adjusters paste claims notes and medical details into public AI tools.
  • Chatbots can reveal another policyholder's information in a response.
  • Agent tools can retrieve more claims data than a task requires.
  • HIPAA, GLBA, and privacy rules apply differently across lines of business.

Solution

AI Data Protection, Runtime Guardrails, and MCP Security Gateway enforce data policies across AI workflows.

1. Define protected data. Identify policyholder PII, claims records, health information, and carrier-specific identifiers. Set rules for permitted uses and destinations by line of business.

2. Inspect AI interactions. Scan prompts, responses, and governed MCP tool calls for protected data before it reaches a model, user, or external service.

3. Redact or block exposure. Mask sensitive fields when work can safely continue. Block interactions that would send protected data to an unapproved destination.

4. Record enforcement evidence. Log detections and actions for privacy, compliance, and incident response teams. Map detections to HIPAA, GLBA, and GDPR obligations for reporting.

Risks Addressed

  • OWASP Top 10 for LLMs: LLM02 Sensitive Information Disclosure and LLM06 Excessive Agency, covering disclosure through model interactions and excessive access through connected tools.
  • OWASP Top 10 for Agentic Applications: ASI02 Tool Misuse and Exploitation and ASI03 Identity and Privilege Abuse, addressing misuse of tools and authority to retrieve or transmit claims data.
  • NIST AI RMF: MAP identifies sensitive data flows; MEASURE evaluates exposure; MANAGE applies controls; GOVERN establishes ownership and policies.