Introducing Critical Infrastructure Cybersecurity: Security and Visibility Across the OT/IT Boundary.

 Forcepoint User and Entity Behavior Analytics (UEBA)

UEBA
User & Entity Behavior
Analytics

AI-Fueled Behavior Analytics to Identify Real Entity Risk

Secure IP

Identify Potential Sources of Data Exfiltration and Critical IP Loss

Determine users exhibiting risky behavior such as stockpiling and atypical data movement before critical IP leaves your organization.

Advanced Detection

Advanced Compromised Account Detection

By understanding attributes like typical access patterns, prevent bad actors from accessing your critical assets and systems with User and Entity Behavior Analytics (UEBA).

Educate Users

Be a Partner to Human Resources

Analyze communications-based data sources to identify potential code-of-conduct infractions.

UEBA User & Entity Behavior Analytics Jump to

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Security Incidents

Get More Out of Your SIEM Investment

UEBA adds context and analytics to SIEM data and provides risk scoring to incidents organized by entity, allowing analysts to prioritize the highest risks.

Discover Data

Perform Context & Content-Rich Incident Response

Enable transparent comprehensive investigation with advanced analytics like machine learning and artificial intelligence that are tuned toward specific behavior risk.

Ensure Compliance

Solve Challenges in Data Security and Regulatory Compliance

Analyze and detect patterns of human behavior in big data, delivering insights into enterprise risk where threats have surpassed the perimeter.

Uniquely Powerful Analytics to Achieve Situational Awareness
Automate DLP Policy Enforcement

Combine UEBA with Forcepoint DLP to utilize analytic risk scores to dynamically change DLP policies.

Transparency

Understandable analytics with simple explanation and context to make informed decisions about possible insider threats.

Configurability

There is no one-size-fits-all UEBA solution. Forcepoint allows customers to build their own use cases and develop their own analytics without the need of a data scientist.

Entity Timeline

View all historical activity during forensics stage with dynamic visualization.

Detect Seemingly Unrelated Threats

Single alerts lack context to data. UEBA uses natural language processing and sentiment analysis for a holistic view of the user.

Varied Dataset Calculations

Data models informed by both structured data, such as SIEM logs, and unstructured data, such as email and chat, from your disparate security tools and third-party applications.

The broadest set of data ingest sources in the UEBA security market—including structured and unstructured data sources

Data may be sourced from anywhere within the organization. Below are just a few examples of those systems:

Microsoft Exchange

Microsoft Exchange

Slack

Slack

Symphony

Symphony

Skype for Business

Skype

Bloomberg

Bloomberg

Splunk

Splunk

ArcSight

ArcSight

IBM QRadar

IBM QRadar

RSA NetWitness

RSA NetWitness

Windows

Windows

Apple

Apple

Linux

Linux

Digital Guardian

Digital Guardian

Cisco

Cisco

Symantec

Symantec

F5

F5

McAfee

McAfee

Dtex Systems

Dtex Systems

Workday

Workday

Salesforce.com

Salesforce.com

Active Directory

Active Directory

SAP Concur

SAP Concur

LogRhythm

LogRhythm

BeyondTrust

BeyondTrust
See what analysts have to say about how UEBA security can reduce insider risk