Generative AI in Enterprises: Security Risks Most Companies Are Not Measuring

This article analyzes how enterprise adoption of generative AI introduces unique security risks—including prompt and indirect prompt injection, data leakage through LLM interactions, hallucination-driven decision risks, training data poisoning and supply-chain exposure, overprivileged tool integrations, and auditability/compliance challenges—and urges organizations to treat AI security as a distinct discipline with governance, AI-specific risk assessments, least-privilege controls, monitoring of AI interactions and outputs, and employee education to mitigate these threats.