AI Security leader takes aim at stopping identity attacks across endpoints
SentinelOne, the US AI-native cybersecurity leader, recently unveiled new identity offerings designed to secure human identities, as well as the rapid rise of AI agent and non-human identities in the workplace.
Identity attacks have long been a tactic of choice for nation-state operators and cybercriminals alike. And the focus of security and identity companies has largely been on stopping such attacks at the gate: the authentication and permissions layer. Yet such attacks continue to occur, as threat actors fine tune tactics, according to a corporate press statement.
Behavioral guardrails
SentinelOne’s approach is designed to stop identity attacks by following a single core principle: authorization alone is not sufficient. Access must be continuously validated and, when necessary, withdrawn at runtime. Whether on the endpoint, in the browser or within an AI workflow, execution must remain bound by real-time behavioral guardrails.
“SentinelOne is uniquely positioned to lead this evolution with our AI-native platform that was built to correlate identity, endpoint, and workload signals, enabling security teams to analyze behavioral intent and autonomously contain both human and machine-driven misuse as it unfolds,” explained Jeff Reed, CTO, SentinelOne.
SentinelOne’s new Singularity Identity offering and platform architecture is built for this evolution. Grounded in execution, SentinelOne delivers end-to-end visibility and response across both human and non-human activity including Singularity Identity that provides critical context for who or what is acting; Prompt Security that surfaces misuse within the browser and AI tools and Singularity Endpoint which validates behavior at the system level, the press statement concluded.
