Sophos AI Principles in Cybersecurity

AI plays a transformative role in enabling faster detection, smarter responses, and increased automation across security operations. The Sophos AI-native platform takes a dual approach—combining predictive machine learning (ML) with generative AI and large language models (LLMs) to deliver robust, scalable protection.

Predictive ML models process vast volumes of behavioral, network, and telemetry data to detect threats, classify anomalies, and trigger rapid responses. Sophos applies these models across products like Endpoint, Firewall, NDR, and XDR to detect complex threats such as hands-on-keyboard attacks and to prioritize alerts, helping reduce noise and focus attention on what matters most. Generative AI and LLMs enable intuitive, human-like interactions and autonomous workflows in solutions like the AI Assistant and AI Agents. These capabilities help users interpret threat data, generate detection rules, and simplify complex cybersecurity tasks making powerful security tools more accessible and actionable.

With this in mind, we've identified six principles to guide the effective and responsible development and use of AI across our products and services.