Find out what your peers are saying about IBM, Exabeam, Cynet and others in User Entity Behavior Analytics (UEBA).
| Product | Market Share (%) |
|---|---|
| Exabeam | 9.6% |
| Splunk User Behavior Analytics | 8.9% |
| Proofpoint Insider Threat Management | 5.6% |
| Other | 75.9% |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 3 |
| Large Enterprise | 7 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 5 |
| Large Enterprise | 12 |
Exabeam Fusion is a cloud-delivered solution that that enables you to:
-Leverage turnkey threat detection, investigation, and response
-Collect, search and enhance data from anywhere
-Detect threats missed by other tools, using market-leading behavior analytics
-Achieve successful SecOps outcomes with prescriptive, threat-centric use case packages
-Enhance productivity and reduce response times with automation
-Meet regulatory compliance and audit requirements with ease
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.
