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Silverfort and SentinelOne Partner to Secure Identities in the AI Era

SentinelOne

Alliance delivers unified control plane for protecting human and machine identities in autonomous environments

Silverfort and SentinelOne have announced a strategic partnership to address rising identity-based threats in AI-driven enterprise environments.

The collaboration brings together Silverfort’s runtime identity security with SentinelOne’s AI-powered threat detection to create a unified control plane that protects human, machine, and AI agent identities. The joint solution is designed to deliver real-time visibility and autonomous response across endpoints, cloud workloads, and AI applications.

As enterprises accelerate adoption of AI and agentic systems, the number of non-human identities including APIs, service accounts, and autonomous agents is rapidly increasing. These identities operate at machine speed, creating new attack surfaces that traditional security approaches struggle to manage.

“By unifying identity and AI-driven security, we’re enabling real-time protection against modern identity-based threats.” – Melissa K. Smith, SVP, Global Strategic Partnerships, SentinelOne

Recent high-profile supply chain incidents have highlighted the urgency of addressing these risks, with attacks capable of spreading within seconds of deployment. The partnership aims to counter such threats by embedding identity enforcement directly into runtime security operations, enabling faster detection, containment, and response.

The integrated solution allows organizations to apply advanced identity controls such as multi-factor authentication, just-in-time access, and adaptive policies across both modern and legacy systems. Combined with AI-driven threat detection, this enables real-time correlation of identity and endpoint signals, improving threat context and accelerating remediation.

By automating enforcement, the platform can block unauthorized access attempts and prevent attackers from leveraging compromised credentials for lateral movement within networks. This reduces exposure windows and minimizes the impact of breaches.

The companies said the partnership also simplifies security architecture by consolidating identity and endpoint protection into a single framework, helping organizations improve operational efficiency while strengthening overall security posture.

With identity emerging as a critical security layer in AI-powered enterprises, the alliance positions both companies to address evolving threats where humans, machines, and autonomous agents operate simultaneously.

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