Technology

SentinelOne, the AI-native cybersecurity leader, has introduced a new identity security portfolio and strategy aimed at protecting both human and non-human identities, including autonomous AI agents operating across enterprise environments.

The announcement reflects the growing complexity of identity-based cyberattacks, which remain a preferred method for nation-state actors and cybercriminals. While traditional security measures have focused primarily on authentication and permissions, attackers increasingly exploit authorized access pathways, using legitimate credentials and sanctioned tools to move laterally across systems and extract data without detection.

The rise of autonomous AI agents — capable of executing tasks without human intervention — has added a new dimension to identity risk. These non-human identities interact with enterprise systems at machine speed, creating governance and oversight challenges that traditional identity models were not designed to address.

According to the company, its approach is built on a core principle: authorization alone is not sufficient. Instead, access must be continuously validated at runtime, with the ability to revoke or contain activity instantly if misuse is detected. This execution-based security model applies across endpoints, browsers, workloads, and AI workflows.

Jeff Reed, Chief Technology Officer at SentinelOne, said the rapid expansion of AI-driven, non-human identities is broadening the attack surface. He noted that identity risk no longer begins and ends at authentication, as attackers increasingly operate within legitimate workflows. SentinelOne’s AI-native platform correlates identity, endpoint, and workload signals to analyze behavioral intent and autonomously contain misuse in real time.

New identity portfolio: One platform, unified execution

SentinelOne’s expanded Singularity Identity framework is designed to provide continuous behavioral validation across enterprise systems. The portfolio includes:

• Singularity Identity, delivering contextual intelligence about who or what is initiating actions

• Prompt Security, which detects misuse within browsers and AI tools

• Singularity Endpoint, validating system-level behavior and execution

By integrating these capabilities into a single execution fabric, SentinelOne aims to deliver end-to-end visibility and response across both human and machine-driven activities.

The company emphasized that as legitimate access increasingly becomes the attack surface — and automation accelerates — enterprise resilience will depend on securing execution itself at machine speed. SentinelOne’s strategy shifts identity from a static authentication checkpoint to a dynamic behavioral assurance engine, enabling organizations to validate, trust, or terminate actions in real time.

The move positions the company at the forefront of AI-driven cybersecurity innovation, addressing the evolving risks associated with autonomous systems and modern enterprise infrastructure.

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