Healthcare applications handle protected health information under strict regulatory requirements. VibeRails scans your entire codebase for security gaps, access control issues, and audit logging problems – without any patient data entering the review process.
Healthcare software operates in a regulatory environment where code quality failures have consequences beyond downtime and user frustration. A missing access control check does not just expose data – it exposes protected health information, triggering HIPAA breach notification requirements, potential fines of up to $1.5 million per violation category, and reputational damage that can end a healthcare technology company.
The challenge is that HIPAA compliance is typically managed at the policy and infrastructure level. Organisations have security policies, conduct risk assessments, and implement network controls. But the code itself – where PHI is actually accessed, transmitted, stored, and logged – receives far less systematic scrutiny. Pull request reviews check the lines that changed. Annual penetration tests probe the running application. Neither provides a comprehensive view of how the entire codebase handles protected health information.
Healthcare codebases also tend to accumulate complexity over time. EHR integrations, HL7 and FHIR interfaces, insurance claim processing, patient portal functionality, and telehealth features get layered on top of each other. Each new integration adds code paths that handle PHI, and each code path needs the same rigorous access control, encryption, and audit logging. As the codebase grows, the likelihood that every PHI-touching code path has been properly secured decreases. A full-codebase review is the only way to verify comprehensive coverage.
VibeRails analyses every file in your repository using frontier AI models that understand code context and patterns. For healthcare applications, this analysis surfaces issues that are directly relevant to HIPAA's Security Rule and Privacy Rule requirements:
Each finding is categorised by severity and mapped to a specific file location. This structure lets your compliance and security teams assess findings against specific HIPAA requirements and prioritise remediation based on regulatory risk.
HIPAA's Security Rule requires that covered entities implement audit controls – mechanisms to record and examine activity in systems that contain or use electronic PHI. In practice, this means every access to PHI should be logged: who accessed it, when, what they accessed, and from where.
Implementing audit logging consistently across a large codebase is difficult. New features get built under deadline pressure, and the audit logging gets added as an afterthought – or not at all. Over time, gaps accumulate. Some API endpoints log access meticulously. Others return PHI without any audit trail. The inconsistency is invisible until an auditor or a breach investigation reveals it.
VibeRails identifies these gaps by analysing the entire codebase, not just the recently changed parts. It can surface code paths that access data stores containing PHI but lack corresponding audit log entries. It finds API endpoints that return sensitive data without logging the request. It identifies administrative functions that modify patient records without recording who made the change.
Access control patterns are similarly analysed across the full codebase. Role-based access control is only effective if it is applied consistently to every code path that touches PHI. VibeRails finds the endpoints, functions, and data access patterns where access control checks are missing or improperly implemented – the gaps that a motivated attacker or a curious insider would exploit.
Sending healthcare source code to a cloud-based analysis service raises immediate compliance concerns. The code itself may contain references to PHI – test data with real patient identifiers, configuration pointing to production databases, or comments describing patient data flows. Even without actual PHI in the code, the patterns and architecture revealed by the source code are sensitive. They show an attacker exactly where PHI is stored and how to access it.
VibeRails is a desktop application that runs on your local machine. The BYOK model means the AI analysis uses your own Claude Code or Codex CLI subscription. VibeRails does not transmit source code to VibeRails servers and does not proxy your requests; review requests go directly from your machine to your AI provider under your own account. The HTML report is generated locally.
For healthcare organisations, this can simplify vendor review for VibeRails itself because VibeRails is not receiving or storing your code. You still need to evaluate your AI provider's terms and data handling for any code you send to them, and you should follow your internal compliance guidance for HIPAA/GDPR and BAAs/DPAs.
If you have already approved specific AI tooling/providers in your environment, VibeRails lets you run a full-codebase audit workflow without introducing an additional vendor-hosted analysis platform.
VibeRails requires no integration with your EHR, your CI pipeline, or your compliance management system. Download the desktop application, point it at a local clone of your repository, and run a scan. The free tier includes 5 issues per review – enough to evaluate whether the findings are relevant to your HIPAA compliance programme before making a purchasing decision.
The lifetime licence is $299 per developer. Subscribe monthly at $19/mo or buy the lifetime licence for $299 once. Volume discounts available. No usage-based model that makes regular scanning expensive. For healthcare organisations that need to demonstrate ongoing code-level security review to auditors and regulators, the ability to scan frequently without incremental cost is essential. Run a scan before every release, after every major feature, or on a regular schedule – the cost is the same.
Vertel over je team en doelen. We reageren met een concreet uitrolplan.