A live IoMT failure-scenario lab and AI Red Team for Healthcare constructed by Chaunda C. Dallas, MSIT, Healthcare Cybersecurity Strategist.
"I didn't leave healthcare. I learned to defend it."
- 9 IoMT Failure Scenarios: High-fidelity modeling driven by real connected-device telemetry and malicious exploitation vectors.
- Healthcare AI Red Team Track (S10–S12): Operational scenarios targeting clinical machine learning endpoints, prompt-vulnerability containment, and automated scheduling logic risks.
- Regulatory & Security Architecture Mapping: Every documented failure scenario is directly cross-mapped against:
- Clinical Consequence & Patient Safety Metrics
- HIPAA Security & Privacy Rules
- NIST AI Risk Management Framework (RMF)
- ISO/IEC 42001 (AI Management System)
- EU AI Act Framework
- FDA Premarket Cybersecurity Guidance
This repository acts as the primary validation sandbox for engineering-level incident mitigation, tracking threat groups at machine speed to protect clinical continuity.
- Consulting Hub: chaundacdallas.com
- Interactive Lab Portal: lab.chaundacdallas.com
- Secure Communications: connect@chaundacdallas.com
- Professional Network: linkedin.com/in/chaundacdallas