Find out what your peers are saying about IBM, Exabeam, Cynet and others in User Entity Behavior Analytics (UEBA).
Product | Market Share (%) |
---|---|
Splunk User Behavior Analytics | 8.9% |
Proofpoint Insider Threat Management | 5.6% |
Veriato User Activity Monitoring (UAM) | 3.0% |
Other | 82.5% |
Company Size | Count |
---|---|
Small Business | 7 |
Midsize Enterprise | 5 |
Large Enterprise | 12 |
Proofpoint Insider Threat Management offers comprehensive insights into internal risks, emphasizing detection and response to insider threats effectively.
Proofpoint Insider Threat Management provides a robust platform for identifying, managing, and mitigating internal security threats within organizations. It leverages analytics to monitor user activities and detect anomalies that might signify potential threats. Users benefit from enhanced visibility into internal systems and processes, which strengthens their information security protocols. By focusing on insider threats, it helps organizations safeguard sensitive data and maintain compliance with industry regulations.
What are the key features of Proofpoint Insider Threat Management?
What benefits and ROI come from using Proofpoint Insider Threat Management?
Many industries implement Proofpoint Insider Threat Management to protect sensitive information and comply with regulatory standards. It is particularly beneficial in sectors such as finance and healthcare, where data security is critical. By integrating it with their current infrastructure, organizations can effectively track and manage insider threats, ensuring data is handled securely and responsibly.
Splunk User Behavior Analytics is a behavior-based threat detection is based on machine learning methodologies that require no signatures or human analysis, enabling multi-entity behavior profiling and peer group analytics for users, devices, service accounts and applications. It detects insider threats and external attacks using out-of-the-box purpose-built that helps organizations find known, unknown and hidden threats, but extensible unsupervised machine learning (ML) algorithms, provides context around the threat via ML driven anomaly correlation and visual mapping of stitched anomalies over various phases of the attack lifecycle (Kill-Chain View). It uses a data science driven approach that produces actionable results with risk ratings and supporting evidence that increases SOC efficiency and supports bi-directional integration with Splunk Enterprise for data ingestion and correlation and with Splunk Enterprise Security for incident scoping, workflow management and automated response. The result is automated, accurate threat and anomaly detection.
Veriato User Activity Monitoring (UAM) provides a comprehensive way to track employee activities within an organization. It assists in improving productivity and security by offering detailed insights into behavior and resource usage patterns.
Veriato UAM captures user interactions and system activities, helping organizations detect potential security risks and monitor adherence to policies. It tracks keystrokes, websites visited, application usage, and file transfers to provide administrators with meaningful analytics. Its detailed reports enable better decision-making, enhancing transparency and security oversight within businesses.
Which features make Veriato UAM effective?In finance, Veriato UAM helps maintain stringent compliance standards, while in healthcare, it safeguards patient data. Retail businesses use it to secure customer information during transactions. Each industry benefits from its detailed monitoring capabilities tailored to specific security and productivity requirements.