Most of the cybersecurity industry relies on a common approach: using historical attack patterns to stop future threats. This method was never built to handle the complexity and subtlety of AI‑driven behavior. Securing AI requires interpreting ambiguous interactions, uncovering subtle intent within extended conversations, understanding how access accumulates over time, and recognizing when behavior — human or machine — begins to drift into malicious behavior.   

While other vendors are only now beginning to explore behavioral analysis, often by layering GenAI onto older architectures, Darktrace has spent more than a decade building AI purposefully designed to understand and adapt to evolving behavior in complex environments. We take a business-centric approach, building technology that learns directly from the environment it protects then identifies any malicious actions that deviate from normal operations. This means we can stop novel or AI-related threats on the first encounter - without relying on databases of known attacks.