Compare Guardian Analytics Fraud Detection vs. Splunk User Behavior Analytics

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"The licensing costs is around 10,000 dollars.""Pricing varies based on the packages you choose and the volume of your usage."

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Top Answer: The solution isn't overly expensive. It's quite affordable. It's not the priciest option on the market. I'm not sure of the exact cost as its not an aspect of the solution I directly deal with.
Ranking
Views
365
Comparisons
297
Reviews
0
Average Words per Review
0
Rating
N/A
Views
8,330
Comparisons
5,747
Reviews
8
Average Words per Review
560
Rating
8.3
Popular Comparisons
Also Known As
FraudMAP
Caspida, Splunk UBA
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Guardian Analytics
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Overview

Guardian Analytics Fraud Detection is the first fraud prevention solution to use behavior-based anomaly detection. To complement our expertise in behavioral analytics, we actively study fraudsters’ techniques to make sure we’re always one step ahead. We are also the only solution that automatically and immediately protects 100 percent of users and account holders against all types of threats and schemes, and dynamically adapts to new attacks and changes in legitimate user behavior. In addition to fraudulent payments, we detect account takeover, reconnaissance, and fraud set-up activity that indicate possible criminal activity in the early stages of an attack so our customers can proactively intervene before there’s any money movement. And we do it all without rules and without disrupting users’ normal activity or process.

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
Illinois Community Bank, NEFCU
8 Securities, AAA Western, AdvancedMD, Amaya, Cerner Corporation, CJ O Shopping, CloudShare, Crossroads Foundation, 7-Eleven Indonesia
Top Industries
No Data Available
REVIEWERS
Financial Services Firm57%
Insurance Company14%
Government14%
Security Firm14%
VISITORS READING REVIEWS
Computer Software Company24%
Comms Service Provider21%
Financial Services Firm8%
Government8%
Company Size
No Data Available
REVIEWERS
Small Business18%
Midsize Enterprise36%
Large Enterprise45%
Find out what your peers are saying about ThreatMetrix, NICE, Forter and others in Fraud Detection and Prevention. Updated: March 2021.
475,208 professionals have used our research since 2012.

Guardian Analytics Fraud Detection is ranked 20th in Fraud Detection and Prevention while Splunk User Behavior Analytics is ranked 8th in Intrusion Detection and Prevention Software with 8 reviews. Guardian Analytics Fraud Detection is rated 0.0, while Splunk User Behavior Analytics is rated 8.2. On the other hand, the top reviewer of Splunk User Behavior Analytics writes "Easy to configure and easy to use solution that integrates with many applications and scripts ". Guardian Analytics Fraud Detection is most compared with Nice Actimize Fraud & Authentication Management, IBM Trusteer and ThreatMetrix, whereas Splunk User Behavior Analytics is most compared with Darktrace, Cisco Stealthwatch, Exabeam, Varonis Datalert and ELK Elasticsearch.

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