Securing GenAI Workloads: A 2026 Field Guide for Enterprises

Generative AI has moved from pilot to production faster than any technology in the last decade. In this article I share the threat-model I use when advising enterprises on deploying GenAI safely — covering data protection, identity, model governance, and continuous red-teaming. Key takeaways: • Treat the LLM as an untrusted user, not a trusted service. • Anchor every workload to Microsoft Entra ID and conditional access. • Instrument with Microsoft Sentinel + custom KQL detections for prompt-injection patterns. • Run quarterly red-team exercises against retrieval-augmented systems.