SentinelOne adds new AI data protections to prevent leaks and keep businesses compliant

If your company is using AI, the data it feeds into models could put you at risk. SentinelOne announced that its AI Security Platform now includes Data Security Posture Management, or DSPM, designed to protect AI systems from the moment data is collected through runtime execution.

This allows organizations to adopt AI faster while reducing the risk of leaks, staying compliant with privacy rules, and keeping business operations secure.

As AI moves from pilot projects into full production, enterprises face new risks that can affect speed, trust, and regulatory exposure. AI systems now touch data, cloud infrastructure, and everyday workflows, creating a much bigger attack surface.

SentinelOne’s DSPM prevents sensitive or high-risk data from entering AI pipelines in the first place. This stops problems like data memorization or pipeline poisoning before training begins.

The new capabilities build on SentinelOne’s existing tools, including cloud infrastructure posture management, AI security posture management, runtime workload protection, and employee-focused AI security.

Together, they create a unified platform that lets security teams track risks across the AI lifecycle, prevent data from spreading into model logic, and protect AI systems as they run in real-world environments.

For businesses using AI, this matters. It helps prevent costly leaks, avoids compliance violations, and ensures AI-powered tools can operate safely. In a world where AI is becoming central to operations, having end-to-end data protection is not optional. It is essential to keep innovation moving without exposing the company to serious risk.