Healthcare AI Code Testing.
Healthcare engineering teams using AI coding agents face a uniquely high bar: every code path may touch PHI, every change may have regulatory implications, and the speed of AI-generated code outpaces manual review. tailtest's open-source foundation works today; HIPAA-aligned audit, OWASP-aligned security testing, and evidence packaging for compliance reports are on the platform roadmap.
Honest framing
tailtest is not currently HIPAA-certified. It runs locally and doesn't transmit code or test output externally, so the surface for PHI exposure is limited to what your AI coding tool itself does. If you need formal HIPAA evidence or a Business Associate Agreement, talk to us about the enterprise early-adopter program.
What works today for healthcare teams
- Per-engineer install: no central data flow, no SaaS account, no telemetry
- Local-only test execution: tests run in your existing runner inside your existing environment
- Adversarial mode catches boundary/injection/concurrency issues that map to common healthcare-software bugs (date handling for DOB, identifier validation, retry-after-failure)
- R12 classification of failures helps prioritize: real_bug findings get human review, test_bug findings get adjusted, environment failures don't block
- 10 languages supported, including Python (common in healthcare data tooling) and Java (common in EHR integrations)
On the roadmap (for healthcare context)
Q4 2026: OWASP-aligned security testing layer
SQL injection, XSS, auth bypass, secrets in code, CORS misconfig. Roadmap details.
Q4 2026+: Audit log packaging
Session logs aggregated and packaged as evidence for compliance audits (which scenarios ran, which failed, what fixes were applied).
Exploring: on-prem MCP server
For Cline-based deployments where MCP traffic should stay inside the org's network.
Get in touch about healthcare deployments
Compliance-aware customers help shape the priority of the security + audit roadmap.