SentinelOne Strengthens End-to-End AI Security to Safeguard the Full AI Lifecycle
SentinelOne has introduced expanded end-to-end AI security capabilities designed to protect organizations as they adopt artificial intelligence across data, infrastructure and runtime environments. By adding new AI security data protection tools and integrating them into its unified AI-native platform, SentinelOne helps enterprises secure sensitive data entering AI pipelines and manage risks throughout the full AI lifecycle from ingestion to real-world execution.
This enhanced AI security approach includes Data Security Posture Management (DSPM) , a set of capabilities that prevent high-risk or sensitive information from ever entering AI training or operational workflows, addressing risks such as data leakage and model poisoning before they can impact business operations.
SentinelOne’s expanded platform builds on its existing cloud security and AI security posture management tools, integrating protections for infrastructure, endpoints, and runtime workloads in a unified, lifecycle-wide approach so organizations can confidently scale AI adoption while meeting privacy and compliance requirements.
According to SentinelOne executives, this end-to-end security strategy reflects the evolving threat landscape as AI systems grow more powerful and complex, necessitating protections that span from initial data intake through real-world AI behavior.
SOC News provides the latest updates, insights, and trends in cybersecurity and security operations.
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