Cybersecurity was built for predictable systems. AI changes the rules
Summary
AI represents a fundamental shift in technology that challenges the core assumption of predictability upon which modern cybersecurity was built. Unlike previous technological transitions, AI systems, particularly agentic ones and LLMs, operate dynamically and can produce unpredictable outputs and interactions. This necessitates a move beyond traditional "keep bad things out" approaches to security.
IFF Assessment
The article explains how AI's unpredictable nature fundamentally challenges existing cybersecurity models, requiring new approaches and defenses.
Defender Context
Defenders must adapt their strategies as AI introduces non-deterministic elements into systems, making traditional prevention-focused security insufficient. Understanding the dynamic and evolving nature of AI-driven risk is crucial for developing effective runtime security and continuous risk management approaches.