LogRhythm UEBA vs. Trend Micro Deep Discovery Inspector

LogRhythm UEBA is ranked 7th in User Behavior Analytics with 1 review vs Trend Micro Deep Discovery Inspector which is ranked 13th in Intrusion Detection and Prevention Software. The top reviewer of LogRhythm UEBA writes "It watches everything to tell you what you don't know, and gives you a second opinion". LogRhythm UEBA is most compared with Darktrace, InsightIDR and Trend Micro Deep Discovery Inspector. Trend Micro Deep Discovery Inspector is most compared with Trend Micro Deep Discovery Analyzer, Trend Micro TippingPoint NGIPS and Cisco Sourcefire 3D.
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Quotes From Members Comparing LogRhythm UEBA vs. Trend Micro Deep Discovery Inspector

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Ranking
RANKING
Views
267
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155
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1
Followers
32
Avg. Rating
8.0
Views
3,109
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1,153
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Top Comparisons
Top Comparisons
Compared 66% of the time.
Compared 21% of the time.
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Also Known As
Also Known AsLogRhythm CloudAI, LogRhythm UEBA (Delivered by CloudAI)
Website/Video
Website/VideoLogRhythm
Trend Micro
Overview
Overview

LogRhythm UEBA enables your security team to quickly and effectively detect, respond to, and neutralize both known and unknown threats. Providing evidence-based starting points for investigation, it employs a combination of scenario analytics techniques (e.g., statistical analysis, rate analysis, trend analysis, advanced correlation), and both supervised and unsupervised machine learning (ML).

Trend Micro Deep Discovery Inspector detects targeted attacks and targeted ransomware anywhere in your network. It provides 360 degrees of visibility by monitoring all network ports and protocols. A single Deep Discovery Inspector appliance monitors east-west traffic (also known as lateral movement) and north-south traffic. Deep Discovery Inspector uses XGen security, a blend of cross-generational techniques to ensure the highest detection rate, these techniques include: Web Filtering with URL reputation, Local network content correlated with comprehensive threat intelligence, Lateral movement detection, Behavioral analysis, Machine-learning optimized relevance pattern for detecting command-and-control (C&C) behavior and Custom sandbox analysis.
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Sample Customers
Sample CustomersBremer BankAllied Telesis, Atma Jaya Catholic University of Indonesia, Babou, Blekinge County Council, Delacour, Hiroshima Prefectural Government, Live Nation Entertainment Inc., Mazda Motor Logistics Europe, McGill University Health Centre, Mikuni Corporation, OKWAVE, Sinar Mas Land, SWICA, UTOC Corporation

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