脅威検知調査および対応（TDIR）

AI agents are treated as first-class identities. New-Scale Analytics includes their actions in Threat 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 missed or misinterpreted activity.

Exabeam Nova agents, part of New-Scale Fusion, assist with triage, evidence collection, timeline summaries, and recommended next steps. They reduce manual effort and help analysts move faster, especially when human and AI identities intersect.

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 Threat Timeline and surfaces in Threat Center for rapid assessment and response.

New-Scale Fusion offers multiple timeline views to support each stage of 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 miss subtle or novel attacks. New-Scale Fusion uses behavioral analytics to establish baselines for users and entities, making it easier to detect deviations tied to compromised credentials, insider misuse, or suspicious automation. Exabeam combines machine speed with human judgment through human-agent teaming to reduce risk and improve outcomes.