The collaboration brings together Silverfort’s identity security capabilities with SentinelOne’s AI-powered detection and response platform to deliver real-time, runtime protection across endpoints, cloud workloads, and AI-driven environments.
Silverfort and SentinelOne have announced a strategic partnership aimed at strengthening security across human and non-human identities, including AI agents, as organizations face increasingly sophisticated identity-based cyber threats.
The collaboration brings together Silverfort’s identity security capabilities with SentinelOne’s AI-powered detection and response platform to deliver real-time, runtime protection across endpoints, cloud workloads, and AI-driven environments. The joint solution is designed to help organizations secure complex ecosystems where humans, machines, and autonomous AI agents interact and operate at scale.
The announcement comes amid growing concerns around identity-related risks as enterprises rapidly adopt AI systems and agentic platforms. Modern IT environments now include service accounts, APIs, workload identities, and autonomous AI agents, all of which can be exploited if not properly secured. Recent high-profile incidents have highlighted how quickly such threats can unfold, with attacks occurring within seconds of deployment, underscoring the need for automated, real-time defense mechanisms.
Through the partnership, both companies aim to address these challenges by embedding identity security directly into runtime operations. Silverfort’s technology enables the discovery and protection of all identity types, including non-human identities, while SentinelOne contributes advanced AI-driven threat detection across endpoints and cloud systems. Together, the integrated approach allows for faster threat containment, reduced lateral movement, and improved protection against credential misuse.
The joint solution also introduces a unified security framework that connects identity and endpoint intelligence into a single system, enabling organizations to detect, analyze, and respond to threats in real time. This includes capabilities such as adaptive access controls, multi-factor authentication, just-in-time access, and automated response mechanisms that can isolate compromised credentials and block malicious activity instantly.
In addition, the partnership emphasizes simplified deployment and centralized management, allowing organizations to streamline their security architecture while improving visibility and operational efficiency. By moving beyond traditional siloed tools, the companies aim to deliver a more cohesive and autonomous cybersecurity model capable of keeping pace with modern, fast-evolving threats.
Executives from both companies highlighted that the collaboration represents a shift toward unified, AI-driven security ecosystems that can proactively defend against identity-based attacks, ensuring organizations remain resilient as digital environments become increasingly automated and complex.
