AI Security Is An Architectural Decision
Fortinet, Wednesday, April 15th, 2026
As AI adoption accelerates, organizations face a critical architectural decision: extend existing security controls-identity, policy enforcement, observability, and data governance-to cover AI systems, or secure AI as a separate layer. The choice will determine whether AI introduces resilience or instability
What began as experimentation with public generative AI (GenAI) tools has evolved into something foundational. Many enterprises have begun building private large language model (LLM) environments, integrating AI into core applications, and deploying agentic systems that retrieve data, interact with APIs, and initiate workflows across business systems. As a result, AI is no longer peripheral. Instead, it is becoming part of the infrastructure.
That shift requires a different security mindset.