Insider Threats

Detect and respond to anomalous insider behavior.

Request a Demo Tour the Platform

LEVERAGE MACHINE LEARNING AND AI

Detect undetectable insider behavior with AI

Intentional or not, insider threats are among the most dangerous risks to organizations. Exabeam baselines human and non-human entities, including AI agents, to establish normal behavior. Our patented Session Data Model detects anomalies that span weeks or months, catching slow insider threats traditional SIEM or XDR correlation windows often miss.

IDENTIFY ABNORMAL CREDENTIAL USAGE

You can’t fight what you can’t see

Exabeam detects abnormal credential use across users and AI agents, establishing risk scores against historical baselines. This highlights misuse attempts that other tools overlook. With extended correlation windows, Exabeam uncovers attacks designed to evade short-term detections, providing visibility SIEM and EDR tools lack when access abuse unfolds slowly over time.

SECURE AI AGENTS

AI agents are a new insider risk

AI agents can act autonomously, access sensitive data, and execute insider-like behavior. Exabeam baselines machine entities just as it does human users, flagging abnormal access, transfers, or decisions. Our Session Data Model correlates agent activity over long periods, detecting slow threats that SIEM and XDR tools with short windows miss.

UNCOVER AUDIT TAMPERING

Identify and isolate log tampering

Insiders with system knowledge can tamper with or clear logs to hide activity. Exabeam enriches anomalies with business context to reveal intent and preserve visibility. With our Session Data Model, log manipulations over weeks remain visible, even when insiders or AI agents attempt to erase traces of suspicious behavior.

DELETION AND DESTRUCTION OF DATA

Monitor user activity, flag abnormalities

A malicious insider may intentionally destroy critical business information to disrupt operations or cause financial harm. Exabeam baselines user activity and flags abnormalities in the number of files deleted to help detect malicious insiders motivated to wreak havoc on an organization.

DETECT MALICIOUS INSIDERS

Spotting credential misuse for personal gain

Malicious insiders pose a significant risk due to their access and knowledge of secrets, vulnerable IPs, and critical systems. Organizations need comprehensive monitoring and instant incident scope measurements for rapid risk communication.

DISCOVER DATA LEAKAGE

Understand user intent quickly and accurately

Data leaks often resemble normal behavior, making intent hard to determine. Exabeam correlates DLP alerts with authentication, access, and contextual data, automatically stitching together a timeline of events. By baselining users and AI agents, Exabeam delivers clarity on whether activity is malicious or accidental, revealing leaks that other systems miss.

MONITOR PRIVILEGED USERS

Identify unauthorized access, prevent breaches

Attackers exploit privileged accounts to evade security measures, disrupt operations, or exfiltrate sensitive data. Exabeam detects and prevents unauthorized privileged activity by analyzing user context and identifying abnormal behavior patterns.

DETECT PRIVILEGE ESCALATION

Monitor credential use, identify anomalies

Privilege escalation attempts, like credential enumeration or BloodHound execution, put critical assets at high risk. Exabeam detects these techniques by monitoring credential activity and correlating anomalies over extended timelines.

MONITOR FOR DATA ACCESS ABUSE

Identify and isolate high-risk access to sensitive corporate data

Malicious insiders, including AI agents, may abuse privileges to access sensitive data. Exabeam baselines normal activity and flags anomalies, detecting intent to exploit access over time. By maintaining extended correlation windows, Exabeam identifies long-term data access abuse patterns, giving analysts a complete picture of risk and preventing major damage.

PHYSICAL ACCESS SECURITY

Monitor building access and geolocation

Exabeam monitors physical access anomalies such as badge misuse or impossible travel between locations. These incidents may signal credential sharing or insider activity. By correlating identity, geolocation, and access logs over time, Exabeam reveals subtle insider threats that other solutions miss.

How can we help? Talk to an expert.

Frequently Asked Questions

How does Exabeam cover insider threats?

Exabeam covers insider threats across human users and non-human entities like AI agents. Our patented Session Data Model maintains open-ended correlation windows, detecting low-and-slow threats that span weeks or months. This extended visibility, combined with behavioral analytics, allows Exabeam to reveal risks that SIEM and EDR tools typically miss.

Does Exabeam monitor AI agents as insiders?

Yes. AI agents now act with credentials, access sensitive data, and make independent decisions. Exabeam baselines their normal behavior the same way it does for human users, flagging anomalies that indicate misuse or compromise. This ensures organizations can detect insider threats from both people and machine entities.

Does Exabeam map Lateral Movement to the MITRE ATT&CK^® framework?

Yes. The Lateral Movement tactic includes the Remote Services technique, which in turn encompasses sub-techniques such as Remote Desktop Protocol (RDP), SMB/Windows Admin Shares, Distributed Component Object Model (DCOM), Secure Shell (SSH), Virtual Network Computing (VNC), and Windows Remote Management (WinRM). These services can each be exploited in different ways. Exabeam detects lateral movement and insider threats with UEBA, lets you build correlation rules to alert and build cases, automates responses through Automation Management, and offers pre-built dashboards sorted by ATT&CK TTPs.

Can I keep my current SIEM and augment it with Exabeam to address insider threats?

Absolutely. Many customers integrate data feeds from various SIEMs like Splunk, Microsoft Sentinel, IBM QRadar, OpenText ArcSight, McAfee Nitro, Sumo Logic, and Google Cloud Pub/Sub. Exabeam offers fast integration and value, upgrading your existing insider threat coverage without the need for extensive team retraining.

What makes Exabeam different from SIEM or EDR tools for insider threat detection?

Most SIEM and EDR tools rely on narrow, short-term correlation windows, making them ineffective at detecting insider threats that unfold slowly. The Exabeam Session Data Model is unique in maintaining stateful, long-term timelines. This design surfaces subtle anomalies and insider activity that competitors often overlook.

“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.”