SentinelOne® announced the expansion of its AI security platform with new Data Security Posture Management (DSPM) capabilities to safeguard AI systems over the entire product lifecycle from data ingestion to runtime execution, thus addressing the privacy, regulatory, and data leak concerns associated with the adoption of AI by organizations. The increasing adoption of AI from the “petting zoo” phase to production involves a bigger and more intricate attack surface due to increased AI adoption in the area of data, cloud infrastructure, and operations. This necessitates the adoption of end-to-end security for all forms of AI. The DSPM capabilities by SentinelOne create the “first mile” for AI security by preventing high-risk information from being fed into the AI ecosystem and thus limiting irreversible attacks such as memorization and pipeline poisoning.
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The new functionality builds on the company’s CSPM, AI-SPM, runtime workload protection, employee GenAI security and agent security to deliver a consolidated platform that allows teams to trace risk across the AI lifecycle, stop lateral movement between data and models, and protect AI systems 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. “AI security is not a point problem. It is a lifecycle problem. Data security is the first mile, but true protection requires securing everything AI is built on, from data and infrastructure to runtime behavior.”
