Protecting PHI in Machine Learning Development Environments | Reshma Vemula | Conf42 ML 2026

Description

Read the abstract ➤ https://www.conf42.com/Machine_Learning_2026_Reshma_Vemula_pipelines_orchestration_mlops Other sessions at this event ➤ https://www.conf42.com/ml2026 Apply to speak ➤ https://cfp.ninja/?q=conf42&status=open Join Discord ➤ https://discord.gg/yQneDJdJGV Chapters 00:00 Intro: Why ML Development Environments Expose PHI 00:33 The Breach Trend: Non‑Production Systems Are Getting Hit 00:59 Data Copy Sprawl: Dev/Test/Training Multiply PHI Risk 01:43 Why Attackers Target Dev: Stats, Gaps in Monitoring & Controls 02:15 The Real Cost of Using PHI in Dev & Test 02:46 Mitigation #1: Advanced Data Masking, Encryption & Deterministic Masking 03:11 Modern PHI Security Frameworks + DevSecOps (Shift Left) 04:04 AI‑Driven Monitoring + 5‑Step Implementation Roadmap 04:54 Foundation: Synthetic Data Strategy for Safe Innovation 05:15 End‑to‑End Secure ML Pipeline + Key Takeaways & Closing