Exabeam Introduces AI-Powered Threat Detection to Enhance New-Scale Platform

Exabeam has announced the integration of Google Agentspace and Model Armour telemetry into its New-Scale Security Operations Platform, enabling organisations to detect and monitor threats from autonomous AI agents acting as digital insiders. As AI-driven agents increasingly perform tasks on behalf of users and interact with sensitive business data, enterprises are confronted with new forms of insider risk. According to Exabeam’s study, “From Human to Hybrid: How AI and the Analytics Gap are Fueling Insider Risk,” 93% of surveyed organisations anticipate a rise in insider threats linked to AI, with 64% prioritising these internal risks over external threats. This integration signifies a shift in the security landscape, as digital agents can now exhibit risks akin to those of human insiders.

Exabeam highlights that the behaviour of AI agents can become misaligned, malfunction, or be deliberately subverted, creating a threat profile that existing SIEM or XDR tools may not detect. Many traditional solutions lack the behavioural intelligence required to identify unexpected or malicious agent activity. As organisations adopt AI for task automation and decision-making, the potential for AI-based insider compromise expands. The New-Scale Platform’s integration with Google Agentspace and Model Armour allows for the analysis of both human and agent behaviour, enhancing Exabeam’s behavioural analytics capabilities. Central to this is Exabeam Nova, the intelligence layer that interprets and contextualises agent behaviour in real time, providing security teams with the insights needed to differentiate between normal automation and potentially abusive activity by AI agents. 

Categories: AI-Driven Insider Threats, Behavioural Analytics, Security Operations Integration 

Tags: Exabeam, Google Agentspace, Model Armour, Telemetry, Insider Threats, AI Agents, Behavioural Analytics, Security Operations, Digital Insiders, Compromise