{"id":86113,"date":"2026-04-01T15:32:25","date_gmt":"2026-04-01T13:32:25","guid":{"rendered":"https:\/\/gulftech-news.com\/en\/?p=86113"},"modified":"2026-04-01T15:32:27","modified_gmt":"2026-04-01T13:32:27","slug":"exabeam-confronts-ai-insider-threats-extending-behavior-detection-and-response-to-openai-chatgpt-and-microsoft-copilot","status":"publish","type":"post","link":"https:\/\/gulftech-news.com\/en\/2026\/04\/01\/exabeam-confronts-ai-insider-threats-extending-behavior-detection-and-response-to-openai-chatgpt-and-microsoft-copilot\/","title":{"rendered":"Exabeam Confronts AI Insider Threats Extending Behavior Detection and Response to OpenAI ChatGPT and Microsoft Copilot"},"content":{"rendered":"\n<p><em><strong>Applies behavior profiling and analytics to the digital workforce, giving security teams full visibility into how users and AI agents interact across the enterprise\u00a0<\/strong><\/em><\/p>\n\n\n\n<p><a href=\"https:\/\/www.exabeam.com\/\" target=\"_blank\" rel=\"noreferrer noopener\"><u>Exabeam<\/u><\/a>,\u00a0the leader in behavior intelligence for the agentic enterprise, today announced a major expansion of\u00a0<a href=\"https:\/\/www.exabeam.com\/capabilities\/agent-behavior-analytics\/\" target=\"_blank\" rel=\"noreferrer noopener\"><u>Exabeam Agent Behavior Analytics<\/u><\/a>\u00a0(ABA).\u00a0Without direct visibility into how employees are using AI assistants \u2014 what they query, what data they share, how\u00a0frequently\u00a0they interact, and from where \u2014 organizations cannot baseline normal AI behavior, investigate\u00a0possible misuse, or detect emerging agentic insider threats.\u00a0<\/p>\n\n\n\n<p>New support&nbsp;to detect agent behavior in OpenAI ChatGPT and Microsoft Copilot<strong>,&nbsp;<\/strong>alongside existing visibility into<strong>&nbsp;Google Gemini,<\/strong>&nbsp;transforms these agentic services into rich sources of behavior telemetry that feed directly into Exabeam threat detection, investigation, and response (TDIR) workflows.&nbsp;<\/p>\n\n\n\n<p>\u201cAI agents are evolving from simple chatbots into autonomous digital workers,\u201d said Steve Wilson, Chief\u00a0AI\u00a0and Product Officer at Exabeam. \u201cThey authenticate, access systems, and execute\u00a0real business\u00a0processes. <\/p>\n\n\n\n<p>When compromised, their activity will often look legitimate. Guardrails designed to catch prompt injection or hallucinations do not address that risk. Securing digital workers requires deep visibility into baseline behavior and the ability to detect subtle deviations before they become material incidents.\u201d\u00a0<\/p>\n\n\n\n<p>\u201cAI is rapidly reshaping how organizations operate, compete and grow, creating a new, digital workforce that helps them move faster and at scale,\u201d said Pete\u00a0Harteveld, CEO at Exabeam. \u201cAs this transformation accelerates leaders are compelled to understand how these systems\u00a0operate\u00a0inside the enterprise. <\/p>\n\n\n\n<p>Our expansion of Agent Behavior Analytics helps organizations stay protected from emerging risks while adopting AI with confidence and\u00a0maintaining\u00a0the oversight and accountability\u00a0required\u00a0to proliferate these capabilities across an enterprise.\u201d\u00a0<\/p>\n\n\n\n<p>To address&nbsp;these fast-evolving threats, Exabeam has delivered five new capabilities that work together to provide complete coverage of the agentic attack surface:&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>AI\u00a0Behavior\u00a0Baselining<\/strong>. Exabeam builds dynamic behavior profiles for users and their AI agents, tracking patterns across request volumes, token usage, tool invocations, web sessions, and outbound activity. When behavior deviates from established norms, such as sudden spikes in API calls or token consumption. Exabeam flags the anomaly, helping security teams detect misuse before it escalates.\u00a0<\/li>\n\n\n\n<li><strong>Prompt and Model Abuse Detection.<\/strong>\u00a0Exabeam detects prompt injection, model manipulation, and tool exploitation before attacks escalate. A new detection library, five times larger than the\u00a0previous\u00a0version, covers the full threat spectrum: prompt manipulation, and shadow AI activity. All surfaced at the point of entry, not after the damage is done.\u00a0<\/li>\n\n\n\n<li><strong>Identity and Privilege Monitoring.<\/strong>\u00a0While baselining tracks how agents behave, identity and privilege monitoring governs what\u00a0they\u2019re\u00a0allowed to do. Exabeam detects anomalies across AI platform roles, users, and permissions \u2014 including first-time role assignments, unexpected privilege escalations, and unusual permission changes, ensuring AI identities are governed with the same rigor as traditional enterprise identities.\u00a0<\/li>\n\n\n\n<li><strong>Agent Lifecycle Monitoring.\u00a0<\/strong>Exabeam provides full visibility into the creation, modification, and usage of AI agents, surfacing first-agent-creation and invocation events as discrete, auditable signals. Security teams can now track the complete lifecycle of every agent\u00a0operating\u00a0in their environment, closing the governance gap that has made agent activity invisible to most organizations.\u00a0<\/li>\n\n\n\n<li><strong>Coverage for OWASP Top 10 for Agentic AI.<\/strong>\u00a0Exabeam monitors agent behavior against the OWASP Top 10 for Agentic AI, bringing measurable coverage to a threat category that previously lacked a defined framework. This alignment\u00a0establishes\u00a0a benchmark for governing and defending AI agents in the enterprise.\u00a0<\/li>\n<\/ul>\n\n\n\n<p>\u201cAs we move deeper into the agentic era, the rapid adoption of AI agents \u2014 including a growing ecosystem of enterprise-grade AI tools across our organization \u2014 is transforming the risk landscape,\u201d said Nithin Reddy, Global VP of Cybersecurity at Dayforce. \u201cSecurity teams now\u00a0operate\u00a0in a world where both humans and autonomous agents interact with systems and data\u00a0at\u00a0a massive scale. Traditional detection models\u00a0weren\u2019t\u00a0built for this reality. <\/p>\n\n\n\n<p>What we need is clear behavior visibility and\u00a0a simple way\u00a0to quantify risk. Exabeam gives us that clarity \u2014 helping us focus on the risks that\u00a0actually matter\u00a0instead of chasing thousands of benign signals and enabling us to put the right guardrails in place while continuing to accelerate AI innovation across the business.\u201d\u00a0<\/p>\n\n\n\n<p>These new capabilities are accompanied by a broad set of enhancements across the Exabeam New-Scale and LogRhythm&nbsp;Platforms,&nbsp;designed to improve the day-to-day experience for administrators and security analysts while continuing to deliver deep visibility and automated response that helps teams streamline workflows, reduce alert fatigue, and accelerate threat detection.&nbsp;<\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Applies behavior profiling and analytics to the digital workforce, giving security teams full visibility into how users and AI agents interact across the enterprise\u00a0 Exabeam,\u00a0the leader in behavior intelligence for the agentic enterprise, today announced a major expansion of\u00a0Exabeam Agent Behavior Analytics\u00a0(ABA).\u00a0Without direct visibility into how employees are using AI assistants \u2014 what they query, &hellip;<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[644],"tags":[227,3010,5458,863],"class_list":["post-86113","post","type-post","status-publish","format-standard","hentry","category-communications-technology","tag-ai","tag-chatgpt","tag-microsoft-copilot","tag-openai"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.1 - 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