Exabeam Expands Insider Threat Detection to AI Agents on Google Cloud
Exabeam unlocks visibility into AI agent habits to detect intent, drift, and compromise the place legacy instruments fail
At Google Cloud’s pioneering Security Innovation Forum, Exabeam, a worldwide chief in intelligence and automation that powers safety operations, at the moment introduced the combination of Google Agentspace and Google Cloud’s Model Armor telemetry into the New-Scale Security Operations Platform. This integration offers safety groups the power to monitor, detect, and reply to threats from AI brokers appearing as digital insiders. This visibility offers organizations perception into the habits of autonomous brokers to reveal intent, spot drift, and shortly determine compromise.
Recent findings within the “From Human to Hybrid: How AI and the Analytics Gap are Fueling Insider Risk” examine from Exabeam reveal {that a} overwhelming majority (93%) of organizations worldwide have both skilled or anticipate an increase in insider threats pushed by AI, and 64% rank insiders as a better concern than exterior risk actors. As AI brokers carry out duties on behalf of customers, entry delicate knowledge, and make unbiased choices, they introduce a brand new class of insider threat: digital actors working past the scope of conventional monitoring. Just as insider threats have historically been labeled as malicious, negligent, and compromised, AI brokers now convey their very own dangers: malfunctioning, misaligned, or outright subverted.
SIEM and XDR options which are unable to baseline and be taught regular habits lack the intelligence obligatory to determine when brokers go rogue. As a pioneer in machine studying and behavioral analytics, Exabeam addresses this vital hole by extending its confirmed capabilities to monitor each human and AI agent exercise. By integrating telemetry from Google Agentspace and Google Cloud’s Model Armor into the New-Scale Platform, Exabeam is increasing the boundaries of behavioral analytics and setting a brand new commonplace for what fashionable safety platforms should ship.
“This is a pure evolution of our management in insider risk detection and behavioral analytics,” stated Steve Wilson, Chief AI and Product Officer at Exabeam. “Exabeam options are inherently designed to ship behavioral analytics at scale. Security operations groups don’t want one other device — they want deeper perception into each human and AI agent habits, delivered via a platform they already belief. We’re giving safety groups the readability, context, and management they want to safe the brand new class of insider threats.”
The firm’s newest innovation, Exabeam Nova, is central to this, serving because the intelligence layer that permits safety groups to interpret and act on agent habits with confidence. Exabeam Nova delivers explainable, prioritized risk insights by analyzing the intent and execution patterns of AI brokers in actual time. This functionality permits analysts to transfer past surface-level alerts and perceive the context behind agent actions — whether or not they characterize authentic automation or potential misuse. By operationalizing telemetry from Google Agentspace and Google Cloud’s Model Armor within the New-Scale Platform, Exabeam Nova equips safety groups to defend in opposition to the subsequent era of insider threats with readability and precision.
“AI brokers are shortly altering how enterprise will get carried out, and which means safety should evolve on the similar price,” stated Chris O’Malley, CEO at Exabeam. “This is a pivotal second for the cybersecurity business. By extending our behavioral analytics to AI brokers, Exabeam is as soon as once more main the best way in insider risk detection. We’re giving safety groups the visibility and management they want to shield the integrity of their operations in an AI-driven world.”
“As companies combine AI into their core operations, they face a brand new set of safety challenges,” stated Vineet Bhan, Director of Security and Identity Partnerships at Google Cloud. “Our partnership with Exabeam is vital to addressing this, giving prospects the superior instruments wanted to shield their knowledge, keep management, and innovate confidently within the period of AI.”
By unifying visibility throughout each human and AI-driven exercise, Exabeam empowers safety groups to detect, assess, and reply to insider threats in all their kinds. This development units a brand new benchmark for enterprise safety, guaranteeing organizations can confidently embrace AI whereas sustaining management, integrity, and belief.
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