SentinelOne Announces New AI Security Product Lineup to Give Defenders a Decisive Advantage
SentinelOne unveiled a new portfolio of AI security products at RSA Conference 2026, featuring real-time protection for AI agents and automated security operations, capitalizing on the booming AI cybersecurity market.
📋 Article Processing Timeline
- 📰 Published: April 13, 2026 at 23:00
- 🔍 Collected: April 13, 2026 at 16:35
- 🤖 AI Analyzed: April 19, 2026 at 20:45 (148h 9m after Collected)
SentinelOne Japan K.K. (Chuo-ku, Tokyo, Executive President: Toshiaki Ito, hereinafter "SentinelOne Japan"), the Japanese subsidiary of SentinelOne® (NYSE: S, hereinafter "SentinelOne"), a global leader in autonomous cybersecurity, announced a new lineup of AI security products designed to give defenders a decisive advantage. These new offerings further strengthen SentinelOne's market-leading AI security portfolio by covering both aspects of securing AI itself from threats and leveraging AI to automate and transform security operations. From protecting autonomous agents to executing full agentic (autonomous) investigations with a single click, all of the new products were showcased at the RSA Conference 2026.
As organizations rush to adopt AI to accelerate innovation, scale operations, and boost productivity, AI itself has become a new attack surface and a major source of security risk. Gartner, one of the world's largest IT research and advisory firms, predicts that "AI Cybersecurity," encompassing both security "for" AI and security "enhanced by" AI, will become one of the most critical and fastest-growing markets within AI-related spending over the coming years. In its January 2026 forecast, spending on AI cybersecurity is expected to expand at an astonishing compound annual growth rate (CAGR) of 73.9% from 2024 to 2029, a pace more than double the growth rate of overall AI-related spending.
New Release: Prompt AI Agent Security
Built on SentinelOne's comprehensive approach to end-to-end AI protection, Prompt AI Agent Security provides a new control plane for real-time detection and governance targeted at AI agents and agentic workflows. Leveraging the Autonomous Security Intelligence that powers SentinelOne across endpoints, cloud, and identity, it extends its unique AI and automation to the agentic layer. This enables real-time monitoring, control, and policy enforcement over agent interactions at machine speed. As a result, it delivers complete visibility of the threat landscape, risk assessment, and policy enforcement for all MCP servers operating in a customer's environment. In the preview version, customers can centrally manage the security posture of all AI agents and agentic workflows. For example, it can automatically remediate agentic behavior before malicious actions occur, such as an OpenClaw agent sending corporate data to an external endpoint without the user's knowledge, or a Claude Cowork agent attempting to escalate privileges across the organization's systems through a continuous execution of unapproved operations.
New Release: Prompt AI Red Teaming
Prompt AI Red Teaming provides security and product teams with groundbreaking testing and hardening capabilities for internally developed and provided AI applications. As developers adopt AI agents to build new tools, applications, and workflows in corporate environments, traditional security testing methods are no longer sufficient to address AI-specific threats. By leveraging Prompt AI Red Teaming, organizations can simulate actual AI attacks (such as prompt injection, jailbreaking, privilege escalation, and data poisoning) to harden AI applications prior to release, without exposing their business or customers to significant risk. Furthermore, it enables continuous risk assessment (detecting model drift, new vulnerabilities, and novel attack vectors) as models and threats evolve.
New General Availability: Purple AI Automated Investigation capabilities
RSA Conference 2026
As organizations rush to adopt AI to accelerate innovation, scale operations, and boost productivity, AI itself has become a new attack surface and a major source of security risk. Gartner, one of the world's largest IT research and advisory firms, predicts that "AI Cybersecurity," encompassing both security "for" AI and security "enhanced by" AI, will become one of the most critical and fastest-growing markets within AI-related spending over the coming years. In its January 2026 forecast, spending on AI cybersecurity is expected to expand at an astonishing compound annual growth rate (CAGR) of 73.9% from 2024 to 2029, a pace more than double the growth rate of overall AI-related spending.
New Release: Prompt AI Agent Security
Built on SentinelOne's comprehensive approach to end-to-end AI protection, Prompt AI Agent Security provides a new control plane for real-time detection and governance targeted at AI agents and agentic workflows. Leveraging the Autonomous Security Intelligence that powers SentinelOne across endpoints, cloud, and identity, it extends its unique AI and automation to the agentic layer. This enables real-time monitoring, control, and policy enforcement over agent interactions at machine speed. As a result, it delivers complete visibility of the threat landscape, risk assessment, and policy enforcement for all MCP servers operating in a customer's environment. In the preview version, customers can centrally manage the security posture of all AI agents and agentic workflows. For example, it can automatically remediate agentic behavior before malicious actions occur, such as an OpenClaw agent sending corporate data to an external endpoint without the user's knowledge, or a Claude Cowork agent attempting to escalate privileges across the organization's systems through a continuous execution of unapproved operations.
New Release: Prompt AI Red Teaming
Prompt AI Red Teaming provides security and product teams with groundbreaking testing and hardening capabilities for internally developed and provided AI applications. As developers adopt AI agents to build new tools, applications, and workflows in corporate environments, traditional security testing methods are no longer sufficient to address AI-specific threats. By leveraging Prompt AI Red Teaming, organizations can simulate actual AI attacks (such as prompt injection, jailbreaking, privilege escalation, and data poisoning) to harden AI applications prior to release, without exposing their business or customers to significant risk. Furthermore, it enables continuous risk assessment (detecting model drift, new vulnerabilities, and novel attack vectors) as models and threats evolve.
New General Availability: Purple AI Automated Investigation capabilities
RSA Conference 2026