Gurucul Launches AI Risk and Response for Autonomous AI Threats
News related to:Gurucul · 3 min read
LOS ANGELES, Sept. 24, 2026 /CourierPR/ -- Gurucul, a leader in unified entity intelligence and security analytics, today announced the general availability of its AI Risk and Response solution. The new product brings behavioral AI to the growing attack surface created as AI systems evolve from assistants to actors, offering organizations a comprehensive approach to detecting and responding to risky AI behavior before it escalates.
The company’s solution, which is now in preview, combines behavioral AI with identity and security context to detect hundreds of AI-related detections across all 16 MITRE ATLAS tactics and the OWASP Top 10. These detections span a wide range of activities, including Shadow AI, excessive access, and risky autonomous agents, providing security teams with a clear understanding of who or what is engaging in risky behavior and the broader security context surrounding it.
The solution, which is now in preview, is designed to identify and stop selected high-risk AI interactions at the point of use, providing organizations with an additional layer of protection against AI-related risks. AI Prevention, a preview feature, allows security teams to apply automated controls to stop risky AI activity before it escalates, giving them the ability to apply policy where AI activity occurs while keeping analysts in control of enforcement decisions and exceptions.
Recent incidents involving AI systems interacting with real-world environments, such as the compromise of Hugging Face systems by rogue OpenAI agents, have highlighted the security consequences of autonomous AI behavior. As AI systems like Google Gemini become capable of interacting directly with computers and executing complex tasks, security teams need to understand not only what AI is asked to do but also what it is actually doing, what it can access, and how its behavior connects to the rest of the ecosystem.
Gurucul’s AI Risk and Response solution addresses this emerging need by bringing AI activity into the full security context surrounding it. It combines AI-platform data with existing proxy, endpoint detection and response (EDR), identity, operating system, and cloud telemetry, giving security teams a connected view of AI activity and its broader security context. By applying behavioral AI to this connected context, along with hundreds of detections mapped to all 16 MITRE ATLAS tactics and the OWASP Top 10 for LLM Applications, Gurucul enables security teams to detect, investigate, and respond to AI-related risk with machine-speed analysis across the enterprise.
For managed security service providers (MSSPs), protecting customers from AI risk requires more than visibility into AI usage. They need evidence-rich findings that can be deployed quickly across diverse customer environments and acted on without adding operational complexity. Gurucul’s AI Risk and Response solution provides rapid visibility into AI activity and its broader security context, reducing implementation time, operational overhead, and cost while enabling Security Operations teams to respond more quickly with minimal disruption to customer environments.
Gurucul’s AI Risk and Response solution is now available, with runtime prevention capabilities now in preview. Organizations can identify and stop risky AI activity at the source, providing an additional layer of protection. The solution builds on Gurucul’s market-leading security information and event management (SIEM), user entity behavior analytics (UEBA), and AI insider risk management (AI-IRM) capabilities to detect, investigate, and respond to AI-related risk in real time.
The solution identifies sensitive, non-public information being shared with unapproved generative AI services and correlates that activity with the user and endpoint behavior analysts need to investigate. This reduces implementation time, operational overhead, and cost while enabling the Security Operations team to respond more quickly with minimal disruption to customer environments.
For MSSPs like Blue Mantis, the difference between seeing AI activity and having the context and evidence behind it is the difference between forwarding another alert and helping a customer understand and address real risk.
Gurucul’s AI Risk and Response solution is available now, with runtime prevention capabilities now in preview. To learn more, visit gurucul.com/products/gurucul-ai-risk-and-response.