AISLE Discovers 38 CVEs in Healthcare Software Used by 100,000 Medical Providers
Summary
AISLE used an AI-powered analyzer to uncover 38 CVEs in OpenEMR during Q1 2026, representing more than half of all OpenEMR security advisories in that period. The vulnerabilities include critical SQL injections, a FHIR compartment bypass, and multiple authorization and XSS flaws, with autonomous fixes proposed and many remediated in OpenEMR 8.0.0 and subsequent patches. The piece illustrates how AI-driven security analysis can accelerate remediation and strengthen patient data protection in healthcare software.