TLDR: Exabeam has announced a strategic integration with Google Agentspace and Google Cloud’s Model Armor telemetry, enabling its New-Scale Security Operations Platform to detect and respond to insider threats posed by autonomous AI agents. This move addresses the growing concern that AI is accelerating insider risks, with a recent Exabeam study revealing that 93% of organizations anticipate a rise in AI-driven insider threats.
Broomfield, Colo. & Foster City, Calif. – September 9, 2025 – Exabeam, a global leader in intelligence and automation for security operations, has unveiled a significant advancement in cybersecurity by integrating with Google Agentspace and Google Cloud’s Model Armor telemetry. This collaboration, announced at Google Cloud’s Security Innovation Forum, empowers Exabeam’s New-Scale Security Operations Platform to provide enhanced visibility, detection, and response capabilities against insider threats originating from AI agents .
The integration is a direct response to the evolving threat landscape where AI agents are increasingly performing tasks, accessing sensitive data, and making independent decisions, thereby introducing a new category of ‘digital insiders’ that operate beyond the scope of traditional monitoring tools . Chris O’Malley, CEO at Exabeam, emphasized the critical nature of this development, stating, ‘AI agents are quickly changing how business gets done, and that means security must evolve at the same rate. This is a pivotal moment for the cybersecurity industry.’ He added, ‘We’re giving security teams the clarity, context, and control they need to secure the new class of insider threats’ .
Central to this innovation is Exabeam Nova, the company’s intelligence layer, which is designed to interpret and act on AI agent behavior with confidence. Nova delivers explainable, prioritized threat insights by analyzing the intent and execution patterns of AI agents in real time, allowing security analysts to understand the context behind agent actions rather than just reacting to surface-level alerts .
This strategic move follows alarming findings from Exabeam’s ‘From Human to Hybrid: How AI and the Analytics Gap are Fueling Insider Risk’ study. The research indicates that a vast majority (93%) of organizations worldwide have either experienced or anticipate an increase in insider threats driven by AI. Furthermore, 64% of respondents now rank insiders as a higher security concern than external threat actors . The study, which surveyed over 1,000 cybersecurity professionals, highlights that 74% believe AI is enhancing the effectiveness of insider threats, with 53% expecting a rise in such incidents .
Steve Wilson, Chief AI and Product Officer at Exabeam, underscored this paradigm shift: ‘Insiders aren’t just people anymore. They’re AI agents logging in with valid credentials, spoofing trusted voices, and making moves at machine speed. The question isn’t just who has access — it’s whether you can spot when that access is being abused’ . The report also noted that AI-driven phishing and social engineering are among the top three insider threat vectors, capable of adapting in real time and impersonating legitimate communications at an unprecedented scale .
Industries such as government, manufacturing, and healthcare are particularly vulnerable, with over half of organizations in these sectors reporting a measurable increase in insider incidents over the past year. Government organizations, in particular, anticipate the steepest rise, with 73% expecting more insider threats . The Asia-Pacific region and Japan are leading in projected insider threat growth at 69% .
Also Read:
- CrowdStrike Report Reveals AI’s Escalating Role in Cybercriminal Operations and New Attack Surfaces
- Vanta Unveils Advanced AI Capabilities for Proactive Security and Compliance
Kevin Kirkwood, CISO at Exabeam, warned that ‘AI has added a layer of speed and subtlety to insider activity that traditional defenses weren’t built to detect.’ He stressed the need for a fundamentally new approach to insider threat defense that incorporates context, real-time detection, and cross-team collaboration, alongside strong governance and clear oversight for AI adoption . This integration with Google Cloud aims to provide organizations with the necessary tools to confidently embrace AI while maintaining control, integrity, and trust within their digital environments .
