Threat Detection, Investigation, and Response (TDIR)

Exabeam treats AI agents as first-class identities. New-Scale Analytics includes their actions in automated timelines, showing when an AI agent acted, whether behavior was expected, and how it influenced the broader sequence of events. This visibility helps analysts investigate faster and avoid missing or misinterpreting activity.

Nova AI agents, part of New-Scale Fusion, assist with triage, evidence collection, timeline summaries, and recommended next steps. These AI-assisted workflows reduce manual effort and help analysts investigate activity across human and AI agents faster.

Yes. New-Scale Analytics monitors AI agent activity and correlates it with other events to identify misuse. If an agent accesses sensitive data or performs unexpected actions, that behavior appears in the timeline and is surfaced in Threat Center for rapid assessment and response.

New-Scale Fusion provides multiple timeline views for different stages of an investigation:

• Threat Timelines: Available in Threat Center, these timelines combine correlation rule triggers and behavioral analytics alerts to visualize active cases.
• Investigation Timelines: A Search feature that allows analysts to build custom timelines for any entity, including users, hosts, applications, and processes, with fine-grained filtering.
• Precomputed Investigation Views: Automatically highlight abnormal behavior against a learned baseline to speed anomaly analysis.

Many security tools rely on signature-based detection and can miss subtle or novel attacks. New-Scale Fusion uses behavioral analytics to establish baselines for users, devices, and agents, making it easier to detect deviations tied to compromised credentials, insider misuse, or suspicious automation.

Exabeam combines behavioral analytics, AI-assisted workflows, and automation to help security teams build an agentic SOC that can detect, investigate, and respond to machine-scale risk.