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 Threats
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.
Request a DemoDETECT HIDDEN THREATS
Find Insider Threats Other Tools Miss
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.
MONITOR EVERY IDENTITY
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
SECURE AI AGENTS
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.
UNCOVER AUDIT TAMPERING
Expose Attempts to Hide Malicious Activity
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.
PREVENT DATA DESTRUCTION
Detect Abnormal Deletion of Critical Data
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.
DETECT MALICIOUS INSIDERS
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.
DISCOVER DATA LEAKAGE
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.
MONITOR PRIVILEGED ACCOUNTS
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.
DETECT PRIVILEGE ESCALATION
Stop Privilege Escalation Attempts
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.
PREVENT DATA ACCESS ABUSE
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.
PHYSICAL ACCESS SECURITY
Detect Suspicious Physical Access
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.
How can we help? Talk to an expert.
Contact UsFrequently Asked Questions
Why are AI agents considered insider threats?
How does Exabeam cover insider threats?
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.
Does Exabeam monitor AI agents as insiders?
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.
What makes Exabeam different from SIEM or EDR tools for insider threat detection?
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.
“In 90% of real attacks, we see compromised credentials used, which can be very hard to detect and defend. We chose Exabeam because their tools can successfully detect these kinds of attacks as they use many sources, not just security alerts. Their technology effectively analyzes and baselines normal usage to quickly alert on a compromised user or credentials.”
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Sebastian Bittig
Head of the Cyber
Defense Center | r-tec IT Security
Learn More About Exabeam
Learn about the Exabeam platform and expand your knowledge of information security with our collection of white papers, podcasts, webinars, and more.
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Blog Exabeam Agent Behavior Analytics: First-of-Its-Kind Behavioral Detections for AI Agents
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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
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