Exabeam vs Splunk User Behavior Analytics

Exabeam is ranked 5th in User Behavior Analytics vs Splunk User Behavior Analytics which is ranked 6th in User Behavior Analytics. Exabeam is most compared with Splunk User Behavior Analytics, Securonix Security Analytics and Gurucul. Splunk User Behavior Analytics is most compared with Exabeam, Microsoft ATA and Varonis Datalert.
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Ranking
RANKING
Views
5,215
Comparisons
3,076
Reviews
0
Followers
166
Avg. Rating
N/A
Views
3,702
Comparisons
2,667
Reviews
0
Followers
203
Avg. Rating
N/A

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Top Comparisons
Top Comparisons
Compared 9% of the time.
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Also Known As
Also Known AsCaspida, Splunk UBA
Website/Video
Website/VideoExabeam
Splunk
Overview
Overview

The Exabeam Security Intelligence Platform provides organizations of all sizes with comprehensive, end-to-end detection, analytics, and response capabilities from a single security management and operations platform. Exabeam provides elastic scalability through the use of a modern big data and machine learning architecture that ingests and analyzes data at any scale; all at a predictable cost. This means organizations no longer need to choose between adhering to security budgets and adding additional data sources that would minimize their security blind spots.

Exabeam represents the first security management platform to fully deliver on the initial “promise of SIEM”: complete visibility into modern threats with automated and intelligent response. Exabeam delivers what SIEM products do not.

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.
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Sample Customers
Sample CustomersHulu, ADP, Safeway, BBCN Bank8 Securities, AAA Western, AdvancedMD, Amaya, Cerner Corporation, CJ O Shopping, CloudShare, Crossroads Foundation, 7-Eleven Indonesia

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