SentinelOne, a global leader in AI-native cybersecurity, has announced a major expansion of its AI Security Platform with the introduction of new Data Security Posture Management (DSPM) capabilities. With this advancement, the company aims to strengthen protection for artificial intelligence systems, covering the entire journey from data ingestion all the way through runtime execution. As a result, organizations can confidently accelerate AI adoption while also meeting strict privacy regulations, reducing data leakage risks, and supporting AI-driven innovation at scale.
As artificial intelligence rapidly shifts from early-stage experimentation into full production environments, enterprises are encountering a completely new category of security challenges. AI systems are no longer isolated tools; instead, they are becoming deeply integrated across cloud infrastructure, sensitive enterprise data, and business-critical workflows. Consequently, the overall attack surface continues to grow, introducing risks that can directly impact business trust, operational velocity, and regulatory exposure.
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Moreover, today’s AI-driven reality demands a more comprehensive and unified security approach. Traditional security measures often focus on isolated points of defense, but AI ecosystems require protection that spans end-to-end. From the data feeding models, to the infrastructure supporting them, to the runtime behavior of AI systems in real-world environments, organizations need holistic safeguards to ensure long-term resilience.
SentinelOne’s newly launched DSPM capabilities represent what the company calls the “first mile” of AI security. Importantly, these tools help prevent sensitive or high-risk data from ever entering AI pipelines in the first place. This proactive approach addresses irreversible threats such as data memorization and pipeline poisoning before model training even begins. By doing so, enterprises can significantly reduce the chances of compromised AI outputs and long-term security vulnerabilities.
In addition, these DSPM enhancements build upon SentinelOne’s already robust security portfolio. The new features integrate seamlessly with the company’s Cloud Security Posture Management (CSPM), AI Security Posture Management (AI-SPM), runtime workload protection, employee GenAI security, and agent security. Together, these components form what SentinelOne describes as one of the most complete AI Security platforms currently available in the market.
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This unified framework also enables security teams to trace risks throughout the full AI lifecycle. Furthermore, it helps prevent lateral movement from data layers into model logic, while ensuring AI systems remain protected as they operate in complex production environments.
Highlighting the urgency of this evolution, SentinelOne’s leadership emphasized that AI security must advance alongside AI autonomy.
“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.”
With these new DSPM capabilities, SentinelOne is positioning itself at the forefront of AI security, empowering organizations to innovate boldly while staying protected, compliant, and future-ready.
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