AI Security, From Data To Runtime: A Holistic Defense Approach
SentinelOne, Friday, February 6th, 2026
As organizations rush to adopt AI, they are discovering that traditional, siloed security tools cannot keep pace. The data is too vast, the infrastructure is too interconnected, and runtime environments are too dynamic. Security leaders are confronting a hard reality: AI cannot be secured with point solutions - it is just too broad.
To scale AI with confidence, enterprises must move beyond check-the-box controls and adopt a holistic, machine-speed defense that secures the entire AI lifecycle. This means protecting the data that fuels and is accessed by models, the cloud infrastructure that runs them, and the workloads and AI systems operating at runtime as a single, unified, and immutable system.
As AI capabilities accelerate, a critical question is emerging in the market: Does AI reduce the need for cybersecurity, or fundamentally increase it?