New data security capabilities advance unified platform approach to protect entire AI lifecycle
SentinelOne (NYSE: S), a global leader in AI-powered cybersecurity, today announced the expansion of its AI Security Platform with new Data Security Posture Management (DSPM) capabilities designed to protect artificial intelligence (AI) systems from data acquisition to runtime execution. As a result, organizations can embrace AI while ensuring they comply with regulations and privacy requirements, while also reducing data loss risks and confidently powering AI-driven innovation and automation.
As the use of AI moves from experimentation to large-scale production, businesses must manage a new level of risk that directly impacts operational speed, trust and regulatory exposure. AI systems are increasingly integrated into data, cloud infrastructure and production workflows, expanding the attack surface. This AI reality requires a holistic, end-to-end approach that protects data, infrastructure and runtime as a single, unified environment.
SentinelOne's new DSPM capabilities serve as the 'first mile' of AI security, helping organizations prevent sensitive or high-risk data from entering AI pipelines, addressing irreversible risks such as data retention and pipeline pollution before training even begins.
They rely on cloud infrastructure posture management (CSPM), AI security posture management (AI-SPM), real-time workflow protection, as well as GenAI and collaborator agent security to create the most comprehensive AI security platform on the market.
This unified approach allows security teams to track risk across the entire lifecycle, prevent lateral movement from data to model logic, and protect AI systems as they operate in real-world environments.
“As AI systems become more powerful and more autonomous, security must evolve to match reality,” said Gregor Stewart, Chief AI Officer at SentinelOne. "AI security is not a specific problem but concerns the entire life cycle. Data security is the first step, but real protection requires securing everything on which AI is built: from data and infrastructure to behavior at runtime."
