Problems that solves
No IT security guidelines
Unauthorized access to corporate IT systems and data
Risk or Leaks of confidential information
Employee personal use of corporate IT during working hours
Risk of attacks by hackers
Risk of data loss or damage
Risk of lost access to data and IT systems
Non-compliant with IT security requirements
Values
Reduce Costs
Ensure Security and Business Continuity
Ensure Compliance
Forcepoint User and Entity Behavior Analytics (UEBA)
Forcepoint User and Entity Behavior Analytics (UEBA) is AI-FUELED BEHAVIOR ANALYTICS TO IDENTIFY REAL ENTITY RISK
About Product
Description
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 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).
Be a Partner to Human Resources Analyze communications-based data sources to identify potential code-of-conduct infractions.
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.
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.
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.
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.
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).
Be a Partner to Human Resources Analyze communications-based data sources to identify potential code-of-conduct infractions.
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.
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.
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.
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.
Scheme of work
Competitive products
User features
Roles of Interested Employees
Chief Executive Officer
Chief Information Officer
Chief Technical Officer
Chief IT Security Officer