{"id":106309,"date":"2026-07-06T12:48:25","date_gmt":"2026-07-06T08:48:25","guid":{"rendered":"https:\/\/techxmedia.com\/en\/?p=106309"},"modified":"2026-07-07T08:39:06","modified_gmt":"2026-07-07T04:39:06","slug":"exabeam-expands-ai-security-for-agentic-enterprise","status":"publish","type":"post","link":"https:\/\/techxmedia.com\/en\/exabeam-expands-ai-security-for-agentic-enterprise\/","title":{"rendered":"Exabeam Expands AI Security for Agentic Enterprise"},"content":{"rendered":"\n

Exabeam<\/a> has announced a major expansion of its Behavior Intelligence platform, introducing new capabilities designed to help organizations detect, investigate, and reduce risks associated with AI agents, autonomous workflows, and human to agent activity across enterprise environments.<\/p>\n\n\n\n

The latest release expands Exabeam Agent Behavior Analytics (ABA), Outcomes Navigator, Exabeam Nova, Threat Center, Attack Surface Insights, along with search and data collection workflows. The enhancements are intended to help organizations secure AI adoption without disrupting innovation or requiring major changes to existing security operations.<\/p>\n\n\n\n

As AI agents become increasingly integrated into enterprise environments, they are accessing systems, invoking tools, interacting with data, and performing tasks on behalf of users at machine speed. Because these agents often use approved applications, valid credentials, and authorized workflows, risky activities can appear legitimate until their behavior is analyzed over time. Exabeam addresses this challenge through its Behavior Intelligence approach, which combines behavioral detection, AI driven investigation, automation, and outcomes based measurement.<\/p>\n\n\n\n

Pete Harteveld, CEO of Exabeam, said organizations are rapidly moving from AI experimentation to autonomous AI agents operating across the enterprise. He added that security<\/a> teams need visibility into both human activity and how AI agents behave, interact, and make decisions. According to Harteveld, the company is helping customers strengthen AI security by combining AI visibility, behavioral analytics, and threat detection across users, AI agents, and enterprise systems.<\/p>\n\n\n\n

Andrea Licciardi, Senior Cybersecurity Manager at MAIRE and Founder of CISOs4AI, said organizations are seeing more AI tools and agents being adopted across business functions. He noted that behavioral analytics and agent observability provide the context needed to detect unusual activity early and investigate incidents without slowing AI adoption.<\/p>\n\n\n\n

Among the key updates, Exabeam has doubled its AI focused detection coverage from previous levels to 90 AI and agent related behavioral detections. These capabilities identify anomalous interactions between users and AI agents, unauthorized autonomous agent activity, suspicious prompt behavior, unusual tool invocation sequences, abnormal consumption patterns, unauthorized configuration changes, Denial of Wallet indicators, shadow AI activity, and other potential signs of misuse or compromise.<\/p>\n\n\n\n

The release also broadens visibility across enterprise AI platforms by adding support for Anthropic Claude alongside OpenAI ChatGPT, Google Gemini, Microsoft Copilot, and GitHub Copilot. This enables security teams to monitor AI adoption, identify new AI technologies, and track usage patterns across authorized services.<\/p>\n\n\n\n

Additionally, Outcomes Navigator now includes coverage aligned with the OWASP Top 10 for Agentic AI. This allows organizations to assess how existing detections map to emerging AI risks, identify coverage gaps, and receive guidance on strengthening their security posture as AI adoption expands.<\/p>\n\n\n\n

Detection engineering has also been enhanced through Exabeam Nova Rules Creator, which allows teams to create and refine correlation and New Scale Analytics rules using natural language. The feature also supports Sigma rule conversion, enabling faster development of detection content. Furthermore, Exabeam Nova Related Cases, currently available in early access, helps analysts identify connected security cases, surface shared entities such as IP addresses and hosts, and understand relationships between incidents, reducing manual investigation efforts.<\/p>\n\n\n\n

The company has also introduced several updates to improve Security Operations Center workflows. These include phishing email ingestion for collecting reported phishing messages, parsing emails and attachments, and automatically grouping related cases. Attack Surface Insights has been enhanced with improvements for entity health, identity linking, context freshness, and rule preview testing.<\/p>\n\n\n\n

Moreover, new Cloud Collectors, custom REST API context collection, Site Collector health notifications, and Log Stream enhancements improve data onboarding, monitoring, and parser transparency. Dashboard authoring, biweekly reporting, and Global Search have also been updated to simplify reporting and navigation.<\/p>\n\n\n\n

Alongside the platform enhancements, Exabeam introduced Observra, a new open source project and library that provides developers, security teams, and platform engineers with a telemetry layer for AI agents. Observra captures agent activity across major frameworks, normalizes telemetry into security ready events, enriches data with cost, redaction, deduplication, and risk signals, and routes it to security operations platforms to improve agent behavior insights.<\/p>\n\n\n\n

The company also highlighted its previously launched open source project, Praxen, which supports Agent Behavior Verification by helping organizations verify that AI agents are properly configured, authorized, and governed before deployment. Combined with Observra and Exabeam Agent Behavior Analytics, these technologies aim to provide organizations with capabilities to verify, observe, analyze, and continuously improve AI agent security throughout the lifecycle.<\/p>\n\n\n\n

Steve Wilson, Chief AI Officer at Exabeam and Co-Founder and Co-Chair of the OWASP Gen AI Security Project, said organizations need confidence in AI agents both before and after deployment. He stated that enterprises must verify intended agent behavior, observe interactions with systems and data, analyze activity for misuse or compromise, and continuously strengthen defenses as AI agents evolve.<\/p>\n\n\n\n

Finally, the release expands LogRhythm SIEM ecosystem support through new and enhanced integrations across Microsoft, cloud, identity, email, and security technologies. These additions provide broader visibility across modern attack surfaces while simplifying data collection and accelerating security operations. With these latest capabilities, Exabeam continues to strengthen its Behavior Intelligence platform to help organizations secure the growing adoption of AI agents across the enterprise.<\/p>\n","protected":false},"excerpt":{"rendered":"

Exabeam has announced a major expansion of its Behavior Intelligence […]<\/p>\n","protected":false},"author":8,"featured_media":106310,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[9685],"tags":[],"contributor":[],"class_list":["post-106309","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-events-middle-east"],"featured_image_src":"https:\/\/techxmedia.com\/en\/wp-content\/uploads\/2026\/07\/Exabeam.jpg.jpeg","author_info":{"display_name":"Rabab","author_link":"https:\/\/techxmedia.com\/en\/author\/rabab\/"},"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/posts\/106309","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/comments?post=106309"}],"version-history":[{"count":1,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/posts\/106309\/revisions"}],"predecessor-version":[{"id":106311,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/posts\/106309\/revisions\/106311"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/media\/106310"}],"wp:attachment":[{"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/media?parent=106309"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/categories?post=106309"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/tags?post=106309"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/techxmedia.com\/en\/wp-json\/wp\/v2\/contributor?post=106309"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}