Securing the AI Stack: From Model to Production

As AI moves from experimentation to production, traditional security defenses fall short. This eMag covers three critical threat frontiers: AI-driven phishing (automating social engineering at scale), ML model poisoning (subtle training data manipulation causing unpredictable model behavior), and shadow cloud governance (unregulated API calls expanding attack surfaces). It also addresses building trust in regulated industries through MLOps, responsible AI frameworks, GDPR, and EU AI Act compliance. The core message is that security must be treated as a full lifecycle responsibility, from data ingestion to inference, with governance baked into delivery pipelines.