Bedrohungserkennung, -untersuchung und -reaktion (TDIR)

AI agents are monitored like any other entity. New-Scale Analytics automatically includes their actions in Threat Timelines, giving analysts visibility into when an AI agent acted, whether the behavior was expected, and how it influenced the sequence of events. This context helps teams investigate faster and avoid missed or misinterpreted activity through effective human-agent teaming.

Exabeam Nova agents, part of New-Scale Fusion, assist with triage, evidence collection, timeline summaries, and suggested next steps. They reduce manual effort and help analysts move faster, especially when human and AI identities are involved in the same investigation.

Yes. By monitoring AI agent activity and correlating it with other events, New-Scale Analytics helps analysts identify misuse. If an agent accesses sensitive data or performs unexpected actions, that behavior appears in the Threat Timeline and surfaces in Threat Center so analysts can quickly assess and respond.

New-Scale Fusion offers multiple timeline views to support different stages of investigation:

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

Many security tools rely on signature-based detection, which often misses subtle or novel attacks. New-Scale Fusion uses behavioral analytics to establish a baseline of normal activity for users and entities, making it easier to detect deviations tied to compromised credentials, insider misuse, or suspicious automation. Instead of replacing analysts, Exabeam delivers human-agent teaming that combines machine speed with human judgment to reduce risk and improve outcomes.