Exabeam and Google Cloud: Securing AI Agents and LLM Usage With Behavioral Analytics
Brief
As you adopt AI agents to revolutionize your business, you also introduce a new insider threat. Traditional security tools weren’t built to monitor AI activity, leaving critical visibility gaps where misaligned, malfunctioning, or compromised agents can create unseen risks.
The New-Scale Security Operations Platform integrates directly with Google Agentspace and Model Armor to give you unparalleled visibility and control over AI-driven environments. By applying our powerful behavioral analytics, you can baseline, monitor, and detect anomalous AI agent behavior, securing both your human and AI insiders from a single platform.
With Exabeam and Google, you can:
- Gain unified visibility into all user and AI activity by applying behavioral analytics to your Google Agentspace and Model Armor data.
- Prioritize the most critical threats using Exabeam Nova, our purpose-built AI, which scores and explains anomalies in agent-driven workflows.
- Accelerate investigation and response with enriched timelines and automated context, reducing analyst workload.
The New-Scale Platform ingests telemetry from Google Agentspace and Model Armor, giving you detailed traces of AI workflows, LLM usage, and prompts. We combine this data with behavioral analytics to create a baseline of normal activity for both your human and AI team members. When an agent deviates from its expected behavior, Exabeam Nova scores, explains, and prioritizes the anomaly, enabling you to respond quickly to emerging risks across your entire digital workforce.
Download the brief to learn how to protect your organization from a new generation of AI-driven insider threats.
