Enterprise AI Security in 2026: A Practical Guide for Modern Organizations

This article discusses how the rapid adoption of artificial intelligence in enterprises necessitates a rethinking of security, as AI systems introduce new attack surfaces not covered by traditional cybersecurity. It addresses challenges such as sensitive data exposure, prompt injection attacks, and model manipulation, emphasizing the need to protect models, data, and decisions in an AI-driven environment.