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Pre-Compliance Penetration Testing for a Healthcare Platform

A digital health company building an electronic health records (EHR) platform must satisfy HIPAA security requirements before launching. Their compliance officer needs evidence of penetration testing to include in the security risk assessment. The company's infrastructure includes a React frontend, a Node.js/Express API, a PostgreSQL database, and an S3 bucket storing patient documents.

Runs onVedha
compliance team receives a detailed pentest report
48 hourscompliance team receives a detailed pentest report
report format maps directly to HIPAA Technical Safeguards
60%report format maps directly to HIPAA Technical Safeguards

How the work runs

The pressure that made this worth automating, the steps the system runs, and what came out the other side.

Pressure & Trigger Points

  • HIPAA's Technical Safeguards require access controls, audit controls, integrity controls, and transmission security,all of which must be validated.
  • The compliance timeline is aggressive: the audit is in 6 weeks, and external pentest firms have a 4-week backlog.
  • The development team lacks offensive security expertise to self-assess.

The run · 4 operational steps

Click any step to inspect telemetry signals, model reasoning, and governance gates.

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1

Targeted Goal Setting

The compliance officer configures a Flow with the goal: \

Input Signal:

Real-time operational telemetry & queue

Reasoning Pattern:

MCP grounded vector inference

Governance Gate:

Policy constrained with audit write-back

Verified Business Outcomes

  • The compliance team receives a detailed pentest report within 48 hours of initiating the test, well ahead of the audit deadline.
  • Three critical findings are identified: an unauthenticated S3 bucket listing, a JWT token that doesn't expire, and a patient API endpoint vulnerable to IDOR.
  • The report format maps directly to HIPAA Technical Safeguards, reducing the compliance officer's documentation effort by an estimated 60%.

Capabilities this relies on

  • workflow orchestration
  • generative design
  • root cause reasoning
  • risk scoring
  • evidence audit trail
  • human approval
  • in boundary deployment

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