New data security capabilities strengthen the company’s unified approach to securing AI from ingestion to runtime. Launch addresses rising enterprise risks as AI moves into widespread production environments.
SentinelOne has expanded its AI Security Platform with advanced Data Security Posture Management (DSPM) capabilities designed to secure the full lifecycle of artificial intelligence systems. The enhancements help enterprises adopt AI with confidence by protecting sensitive data, meeting regulatory requirements, and preventing risks that could compromise AI models before they reach production.
As organizations shift from AI experimentation to large‑scale deployment, the attack surface is expanding across data pipelines, cloud infrastructure, and production workflows. SentinelOne’s new DSPM features address this challenge by serving as the “first mile” of AI security, ensuring high‑risk or sensitive data never enters AI training pipelines. This mitigates irreversible risks such as data memorization, pipeline poisoning, and compliance breaches.
“AI security is not a point problem. It is a lifecycle problem.”
— Gregor Stewart, Chief AI Officer, SentinelOne
The capabilities integrate with SentinelOne’s broader suite CSPM, AI‑SPM, runtime workload protection, GenAI security, and agent security to form one of the industry’s most comprehensive AI security platforms. This unified model enables security teams to trace risk across the entire AI stack, prevent lateral movement between data and model logic, and monitor runtime behavior in real‑world environments.
“As AI systems become more powerful and more autonomous, security must evolve to match that reality,” said Gregor Stewart, Chief AI Officer at SentinelOne. “Data security is the first mile, but true protection requires securing everything AI is built on, from data and infrastructure to runtime behavior.”
The expanded platform equips enterprises to accelerate AI adoption while maintaining control, visibility, and trust.
