Exabeam applies Agent Behavior Analytics within New-Scale Analytics to centralize visibility across AI platforms, including Claude, ChatGPT, Gemini, and Microsoft Copilot. Detections identify suspicious agent activity, abnormal tool use, autonomous actions, and behavior that deviates from expected roles.
Detect High-Risk Threats with Exabeam
Detect complex threats involving users, devices, service accounts, and AI agents with precise risk-based threat detection.
Request a DemoAI-DRIVEN DETECTIONS
Identify Threats Other Tools Overlook
New-Scale Fusion builds behavioral baselines for users and entities, including AI agents, in New-Scale Analytics. It correlates events and applies dynamic risk scoring to surface credible, high-risk threats for faster investigation and response.
DETECT ANOMALOUS BEHAVIOR
Pinpoint High-Risk Anomalies
Exabeam establishes behavioral baselines to reveal deviations from normal activity. Agent Behavior Analytics (ABA) extends detection to AI agents, identifying suspicious actions, abnormal tool use, and insider risk among non-human identities.
PRIORITIZE THREATS
Prioritize the Most Credible Threats
New-Scale Fusion groups related detections and applies multi-layered, dynamic risk scoring to prioritize the highest-risk threats. It evaluates event rarity and business context so analysts can focus on the alerts and cases that pose the most risk.
DETECT LATERAL MOVEMENT
Track the Complete Attack Progression
Trace lateral movement involving users, devices, IP addresses, credentials, and automated processes. Behavioral analytics and event correlation reveal complete attack paths, giving analysts an end-to-end view of activity.
STRENGTHEN DETECTION WITH CONTEXT
Gain a Complete View of Risk
Attack Surface Insights profiles users, devices, applications, and agents to enrich detections with entity context. By mapping relationships and asset criticality, New-Scale Fusion helps analysts assess risk and potential business impact.
How can we help? Talk to an expert.
Contact UsFrequently Asked Questions
How does Exabeam detect and secure AI agents?
What are Exabeam generative AI guidelines and guardrails?
All inputs and outputs processed by foundation models, adapter models, and safety classifiers remain proprietary customer data. Exabeam retains this data only as long as needed to generate Exabeam Nova output and never adds it to foundation models.
How does Exabeam provide strong insider threat coverage?
Exabeam addresses insider risk across human and non-human identities. Behavioral analytics reveals subtle deviations in user activity, while Agent Behavior Analytics detects suspicious activity involving AI agents, service accounts, tools, and other trusted identities.
“Exabeam gives us an initial alarm followed immediately by context information on the alarm’s severity and timelines if more data is required. The SIEM only pushes forward with serious alerts, so we know if we need to switch into incident response mode.”
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Sebastian Bittig
Head of the Cyber
Defense Center | r-tec IT Security
See Exabeam in Action
Request a demo to see how Exabeam helps security operations teams secure the agentic enterprise.
You’ll learn how to:
- Monitor and analyze human & agent behavior to uncover risk
- Investigate threats with machine-built timelines
- Use multi-agent AI to improve detection, investigation, and response workflows
- Apply playbooks to guide decisions
- Support compliance requirements
Award-Winning Leader in Security
