AI agents operate with valid credentials, access sensitive data, invoke tools, and take autonomous actions. When misused, compromised, or poorly governed, they create insider risk similar to trusted human or machine identities.
Insider-Bedrohungen
Detect insider threats across identities, systems, and AI-driven activity. Exabeam connects behavior over time so your team can identify risk early and act before it escalates.
Demo anfordernVERSTECKTE BEDROHUNGEN ERKENNEN
Aufspüren von Insider-Bedrohungen, die andere Tools übersehen
Identify malicious, compromised, or negligent insiders by learning normal behavior for human and non-human identities. Stateful timelines connect related activity over time to reveal slow-moving risk that point-in-time tools often miss.
ÜBERWACHUNG JEDER IDENTITÄT
See Activity Across Every Identity
Monitor user activity, service accounts, machines, and AI agents in a single behavioral view. Native integrations and open agent telemetry extend visibility across major AI platforms, custom agents, and autonomous workflows.
- ChatGPT
- Claude
- Microsoft Copilot
- Google Gemini
SICHERE KI-AGENTEN
Extend Insider Threat Detection to AI Agents
Agent Behavior Analytics (ABA) expands user and entity behavior analytics (UEBA) to autonomous activity. It baselines agent behavior and detects misuse, drift, abnormal tool use, risky access, and actions outside an agent’s defined role.
Auditmanipulationen aufdecken
Aufdeckung von Versuchen zur Verschleierung böswilliger Aktivitäten
Insiders may alter or delete logs to conceal activity. Exabeam correlates retained and late-arriving evidence across long-running timelines to reveal gaps, inconsistencies, and behavior patterns that indicate possible tampering.
DATENZERSTÖRUNG VERHINDERN
Erkennung des anormalen Löschens kritischer Daten
Exabeam baselines file and data activity for user behavior and automated processes. It flags unusual deletion patterns and connects them to surrounding behavior, so teams can intervene before operational impact grows.
BÖSARTIGE INSIDERN ERKENNEN
Expose Credential Misuse
Exabeam detects when valid credentials are used in unusual ways. Behavioral baselines, identity context, and long-running timelines reveal account misuse regardless of whether activity originates from people, systems, or AI agents.
DATENLECKS ENTDECKEN
Connect Events to Detect Data Leaks
Data leakage often appears as normal activity. Exabeam adds behavioral context to DLP, authentication, access, and application events, so analysts can distinguish routine behavior from suspicious movement or exfiltration.
ÜBERWACHUNG PRIVATKONTEN
Identify High-Risk Privileged Access
Exabeam baselines privileged activity and applies identity, asset, and business context to unusual access. Analysts can detect misuse across administrators, service accounts, and AI agents before it leads to a breach.
ERKENNEN SIE EINE RECHTSAUSSTEIGERUNG
Privilegieneskalation stoppen
Exabeam monitors credential and permission activity for abnormal escalation. Stateful timelines connect changes over long time periods, exposing gradual or automated escalation attempts that static rules often miss.
DATENZUGRIFFSMISSBRAUCH VERHINDERN
Identify High-Risk Access to Sensitive Data
Exabeam baselines access to sensitive data across human and non-human identities. Long correlation windows connect small anomalies over time, helping analysts recognize patterns that indicate insider risk.
PHYSIKALISCHE ZUGANGSSICHERHEIT
Verdächtigen physischen Zugang erkennen
Exabeam correlates badge, identity, geolocation, and system activity to detect anomalies such as badge misuse or impossible travel. This helps teams connect physical events to broader insider risk.
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KontaktHäufig gestellte Fragen
Warum werden KI-Agenten als Bedrohung von innen betrachtet?
Wie deckt Exabeam Insider-Bedrohungen ab?
Exabeam combines UEBA, ABA, and dynamic risk scoring to detect insider threats across users, service accounts, machines, and AI agents. Long-running timelines connect subtle behaviors that may unfold over weeks or months.
Überwacht Exabeam KI-Agenten als Insider?
Yes. Exabeam analyzes AI agents as trusted identities with access and autonomy. Native platform support and open agent telemetry provide behavioral visibility across major AI platforms and custom agents, helping teams investigate misuse, drift, and suspicious activity.
Does Exabeam map lateral movement to the MITRE ATT&CK® framework?
Yes. Outcomes Navigator maps Exabeam detection coverage to ATT&CK tactics and techniques, including lateral movement methods such as RDP, SMB, SSH, VNC, DCOM, and WinRM. New-Scale Fusion combines behavioral analytics, correlation, cases, and automation to detect and respond.
Can I keep my current SIEM and add Exabeam behavioral analytics to address insider threats?
Yes. New-Scale Analytics can augment SIEMs such as Splunk, Microsoft Sentinel, and IBM QRadar. It adds advanced UEBA and ABA without requiring you to replace your existing SIEM.
Was unterscheidet Exabeam von SIEM- oder EDR-Tools zur Erkennung von Insider-Bedrohungen?
Most SIEM and EDR tools focus on isolated events, indicators, or short correlation windows. Exabeam uses behavioral baselines, business context, and the stateful Session Data Model to connect activity over time across users, entities, service accounts, and AI agents. This helps analysts detect subtle insider risk that event-based tools miss.
„Bei 90 % der tatsächlichen Angriffe werden kompromittierte Anmeldeinformationen verwendet, was sehr schwer zu erkennen und abzuwehren sein kann. Wir haben uns für Exabeam entschieden, weil die Tools diese Art von Angriffen erfolgreich erkennen können, da sie nicht nur Sicherheitswarnungen, sondern auch viele Quellen nutzen. Die Technologie analysiert und ermittelt effektiv die normale Nutzung, um schnell auf kompromittierte Benutzer oder Anmeldeinformationen aufmerksam zu machen.“
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Sebastian Bittig
Head of the Cyber
Defense Center | r-tec IT Security
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Der Blog Exabeam Agentenverhaltensanalyse: Einzigartige Verhaltenserkennung für KI-Agenten
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Fordern Sie eine Demo an, um zu sehen, wie Exabeam Sicherheitsteams dabei unterstützt, das agentenbasierte Unternehmen zu schützen.
Sie erfahren Folgendes:
- Überwachen und analysieren Sie das Verhalten von Menschen und Agenten, um Risiken aufzudecken
- Untersuchen Sie Bedrohungen mithilfe maschinell erstellter Zeitleisten.
- Nutzen Sie Multiagenten-KI, um die Arbeitsabläufe bei Erkennung, Untersuchung und Reaktion zu verbessern.
- Leitfäden für Entscheidungen nutzen
- Unterstützung der Compliance-Anforderungen
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