Malicious Insider

Data leaks can closely resemble normal activity, making them challenging to detect.

Exabeam combines DLP alerts with authentication, access, and contextual data sources into a timeline of all a user’s activity.

With a complete picture of a user’s activity, analysts can determine if the insider is acting with malicious intent and spend their time investigating actual risks,

Malicious insiders abuse their privilege to access sensitive corporate data.

Exabeam identifies access abuse by baselining normal user activity to detects deviations from this normal behavior.

Flagging anomalous activity helps security teams detect a malicious insider abusing data access, preventing them from causing greater harm to their organization.

A malicious insider with knowledge of auditing and event logging can tamper or clear logs to circumvent their detection.

Exabeam enriches flagged abnormal activity with the user and business context data, so analysts can determine if an insider is tampering with audit logs and acting with malicious intent.

A malicious insider may intentionally destroy critical business information in order 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.

Exabeam helps organizations detect and respond to unusual behavior by privileged accounts as well as privileged activity by non-privileged users.

Exabeam can detect suspicious behavior and misuse, such as: using a privileged account to elevate privileges, abnormal access to classified or sensitive documents, or abusing the privileged access of service and executive accounts.

Exabeam detects changes in user behavior, like user badges into a building for the first time or when a user travels the distance between two geographical locations at an impossible speed.

These incidents could show an employee who has shared their badge or be a malicious insider attempting to access, manipulate, or destroy critical physical assets.

Exabeam helps identify and monitor users who are exhibiting signs of leaving (At-Risk) an organization or communicating with a competitor.

Analysts can quickly determine if an employee is exhibiting signs of leaving based on rich-contextual information and specific activity patterns. With customized response plans analysts can take action fast.

Exabeam helps organizations detect and respond to malicious insiders performing abnormal authentication, and interactions outside of their typical usage or behavior patterns.

To do so, Exabeam models the large volume of events to identify unusual behavioral patterns.

Data Insight Models provide security analysts with the reasoning and analysis behind behavioral models and rules.