TMCnet News
Gurucul Launches AI Risk and Response to Detect and Stop Risky AI Behavior Before It EscalatesSOC and Insider Risk teams uncover Shadow AI, excessive access and risky agents LOS ANGELES, Sept. 24, 2026 /PRNewswire/ -- Gurucul, the leader in Unified Entity Intelligence and security analytics, today announced the general availability of Gurucul AI Risk and Response, bringing behavioral AI to the growing attack surface created as AI moves from assistant to actor. With hundreds of AI detections connecting activity to identity, access, data and broader security telemetry, the solution helps SOC and Insider Risk teams see who or what is acting, recognize threats as they develop, investigate the evidence and respond before risk escalates. AI Prevention, now available in preview, adds controls designed to stop selected high-risk AI interactions at the point of use. Gurucul is also offering organizations an AI Risk Assessment and Report on real data, at no cost.
Recent incidents involving AI systems interacting with real-world environments, including the compromise of Hugging Face systems by rogue OpenAI agents, have highlighted how autonomous AI behavior has security consequences beyond traditional prompts and chatbot interactions. At the same time, Anthropic's latest threat intelligence report documents increasingly sophisticated cyber operations using Claude, including autonomous agents conducting reconnaissance, exploitation and data theft with limited human involvement. As AI systems such as Google Gemini become increasingly 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's actually doing, what it can access and how its behavior connects to the rest of the ecosystem. Gurucul AI Risk and Response addresses this emerging need by bringing AI activity into the full security context surrounding it: who or what initiated it, which identity and privileges were used, what data and systems were reached, and how behavior changed over time. Built on more than a decade of behavioral AI, it analyzes users and autonomous agents as persistent entities to reveal shadow AI, excessive access and emerging behavioral risk. Security teams get an evidence-backed view of what happened, why it matters and how to respond, leveraging playbooks and existing controls. AI Risk and Response helps teams find risky behavior early and stop it before it escalates. With AI Risk and Response's prevention capabilities now in preview, organizations gain an additional layer of protection by identifying and stopping risky AI activity at the source. 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. Unlike standalone AI gateways and other point solutions, Gurucul AI Risk and Response provides a broader behavioral view of AI risk across the enterprise. 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 I-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. Jay Martin, CISO and VP of Cybersecurity at Blue Mantis, said: "Our customers need to understand not only where AI is being used, but when that use creates risk to sensitive information and critical systems. Gurucul AI Risk and Response can be enabled quickly using telemetry already available in the customer environment, providing rapid visibility without custom engineering or additional endpoint agents. The solution identifies sensitive, non-public information being shared with unapproved generative AI services and correlates that activity with the user and endpoint behavior our analysts need to investigate. This reduces implementation time, operational overhead and cost while enabling our Security Operations team to respond more quickly with minimal disruption to customer environments. For an MSSP 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 AI Risk and Response lets security teams:
As the latest advances in AI have proven, tackling AI Risk now is more important than ever. Saryu Nayyar, CEO of Gurucul, said: "As AI moves from generating answers to taking action, risk no longer lives within a single prompt or application. It develops across identities, permissions, data, tools and actions over time. Insider and SecOps teams need to connect those signals to understand what changed, why it matters and where the risk is headed. Gurucul AI Risk and Response applies behavioral AI, entity intelligence and evidence-backed risk scoring to put AI activity in the context of the broader security environment. This gives analysts a clear, actionable view of developing threats and the control to address them early through the workflows and processes they already use. With runtime prevention now in preview, we are taking the next step: stopping high-risk AI behavior at machine speed at the source." Additional supporting quotes can be found here. Gurucul AI Risk and Response is generally available beginning September 24, with runtime prevention available in Preview. To learn more, visit https://gurucul.com/products/gurucul-ai-risk-and-response/. About Gurucul Gurucul helps security teams identify and respond to emerging risk earlier by bringing together signals across users, machines and AI systems. With more than a decade of expertise in behavioral AI, Security Operations and Insider Risk, Gurucul's open data architecture automatically collects and routes signals to the customer's chosen store, reducing data costs by up to 87%. Its unified entity intelligence reasons across the data, fusing behavioral AI and traditional detections into a single active risk score and contextual case with evidence as known and novel threats develop. Analysts and Gurucul's agents work cases together and respond at speed within defined controls. Gurucul was named a Leader in the 2025 Gartner® Magic Quadrant™ for Security Information and Event Management (SIEM), providing independent validation of its approach and capabilities. For more information, visit www.gurucul.com. PR contact:
SOURCE Gurucul 
|
View original content to download multimedia: