SentinelOne and Silverfort Announce Strategic Alliance for AI-Era Identity Protection
SentinelOne Japan announced a strategic partnership with identity security company Silverfort on April 21, 2026, to protect human, AI agents, and other non-human identities. This alliance integrates industry-leading runtime security across identities, endpoints, cloud workloads, and AI applications to build a strong security posture against advanced identity attacks.
📋 Article Processing Timeline
- 📰 Published: May 11, 2026 at 22:00
- 🔍 Collected: May 11, 2026 at 13:31
- 🤖 AI Analyzed: May 11, 2026 at 13:44 (12 min after Collected)
This press release is a translated summary of a press release originally published in California, USA, on April 21, 2026.
SentinelOne Japan Co., Ltd. (Chuo-ku, Tokyo, President and CEO: Toshiaki Ito), the Japanese subsidiary of SentinelOne® (NYSE:S), a global leader in autonomous cybersecurity, announced on April 21, 2026, a strategic partnership with Silverfort, an identity security company, to protect human, AI agents, and other non-human identities (NHI).
This alliance integrates industry-leading runtime security across identities, endpoints, cloud workloads, and AI applications into a single platform, creating a robust security posture to protect organizations from increasingly sophisticated identity attacks. As a result, organizations can confidently leverage agent-based innovation while establishing an autonomous defense system capable of detecting and responding to both human and agent-based threats at machine speed.
As enterprises accelerate the adoption of AI-driven systems and agent-based platforms, new forms of identity risk are emerging. Modern enterprise environments consist of diverse "workers" such as service accounts, APIs, workload identities, and increasingly autonomous AI agents. These AI agents perform actions on behalf of humans and systems at machine speed and scale. Noteworthy cyberattack incidents in recent weeks clearly illustrate the reality security professionals will face in the future. In today's automated enterprise environment, the question is how quickly one must respond to agent-based and identity-based threats.
On March 31, 2026, a North Korean state-sponsored threat actor hijacked the npm credentials of a major Axios maintainer, executing a sophisticated supply chain attack. The initial infection was detected just 89 seconds after publication, a speed that could not possibly be defended against with manual workflows.
One week prior, SentinelOne detected and blocked a trojanized version of LiteLLM, tampered with by an autonomous coding assistant. It identified and proactively stopped a malicious process chain executed by Anthropic's Claude Code with unlimited privileges. This malicious activity occurred without human intervention, as part of a normal automated workflow. In this case, SentinelOne's behavioral AI detected the trojanized package in mid-execution and proactively stopped it within 44 seconds.
These two cases are examples of third-party software supply chain attacks, both illustrating how quickly trusted authentication methods can be exploited and how swiftly security teams must respond.
Through this partnership, Silverfort and SentinelOne directly address this challenge, protecting identities at runtime to enable faster containment, lateral movement suppression, and privilege escalation mitigation. By combining Silverfort's expertise in discovering and protecting AI agents and non-human identities with SentinelOne's leadership in AI-driven detection and its expansion into AI security, a security foundation is established to protect environments where humans, machines, and AI agents operate simultaneously and autonomously. The benefits to customers are substantial. Identity risk will become the most critical signal in AI-driven threat detection and automated SOC (Security Operations Center) workflows, enabling runtime blocking of unauthorized authentication requests and quarantining/containing compromised credentials.
This partnership extends beyond mere integration to deep technical collaboration and joint research, directly embedding identity enforcement into autonomous security operations. By tightly aligning Silverfort's runtime identity security with SentinelOne's AI-powered Singularity™ Security, the two companies will build a real-time unified control plane that integrates identity and endpoint intelligence into a single decision-making fabric.
SentinelOne Japan Co., Ltd. (Chuo-ku, Tokyo, President and CEO: Toshiaki Ito), the Japanese subsidiary of SentinelOne® (NYSE:S), a global leader in autonomous cybersecurity, announced on April 21, 2026, a strategic partnership with Silverfort, an identity security company, to protect human, AI agents, and other non-human identities (NHI).
This alliance integrates industry-leading runtime security across identities, endpoints, cloud workloads, and AI applications into a single platform, creating a robust security posture to protect organizations from increasingly sophisticated identity attacks. As a result, organizations can confidently leverage agent-based innovation while establishing an autonomous defense system capable of detecting and responding to both human and agent-based threats at machine speed.
As enterprises accelerate the adoption of AI-driven systems and agent-based platforms, new forms of identity risk are emerging. Modern enterprise environments consist of diverse "workers" such as service accounts, APIs, workload identities, and increasingly autonomous AI agents. These AI agents perform actions on behalf of humans and systems at machine speed and scale. Noteworthy cyberattack incidents in recent weeks clearly illustrate the reality security professionals will face in the future. In today's automated enterprise environment, the question is how quickly one must respond to agent-based and identity-based threats.
On March 31, 2026, a North Korean state-sponsored threat actor hijacked the npm credentials of a major Axios maintainer, executing a sophisticated supply chain attack. The initial infection was detected just 89 seconds after publication, a speed that could not possibly be defended against with manual workflows.
One week prior, SentinelOne detected and blocked a trojanized version of LiteLLM, tampered with by an autonomous coding assistant. It identified and proactively stopped a malicious process chain executed by Anthropic's Claude Code with unlimited privileges. This malicious activity occurred without human intervention, as part of a normal automated workflow. In this case, SentinelOne's behavioral AI detected the trojanized package in mid-execution and proactively stopped it within 44 seconds.
These two cases are examples of third-party software supply chain attacks, both illustrating how quickly trusted authentication methods can be exploited and how swiftly security teams must respond.
Through this partnership, Silverfort and SentinelOne directly address this challenge, protecting identities at runtime to enable faster containment, lateral movement suppression, and privilege escalation mitigation. By combining Silverfort's expertise in discovering and protecting AI agents and non-human identities with SentinelOne's leadership in AI-driven detection and its expansion into AI security, a security foundation is established to protect environments where humans, machines, and AI agents operate simultaneously and autonomously. The benefits to customers are substantial. Identity risk will become the most critical signal in AI-driven threat detection and automated SOC (Security Operations Center) workflows, enabling runtime blocking of unauthorized authentication requests and quarantining/containing compromised credentials.
This partnership extends beyond mere integration to deep technical collaboration and joint research, directly embedding identity enforcement into autonomous security operations. By tightly aligning Silverfort's runtime identity security with SentinelOne's AI-powered Singularity™ Security, the two companies will build a real-time unified control plane that integrates identity and endpoint intelligence into a single decision-making fabric.