Compare Limelight Cloud Security vs. Venusense ADM

Limelight Cloud Security is ranked 35th in DDoS while Venusense ADM is ranked 34th in DDoS. Limelight Cloud Security is rated 0, while Venusense ADM is rated 0. On the other hand, Limelight Cloud Security is most compared with , whereas Venusense ADM is most compared with .
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Ranking
35th
out of 38 in DDoS
Views
4
Comparisons
4
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
34th
out of 38 in DDoS
Views
7
Comparisons
3
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Find out what your peers are saying about Arbor Networks, Cloudflare, Imperva and others in DDoS. Updated: May 2020.
420,458 professionals have used our research since 2012.
Top Comparisons
Also Known As
Venusense Traffic Anomaly Detection and Mitigation System
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Limelight Networks
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Overview

Limelight Cloud Security Services provide powerful features to protect against attacks on websites and control access to content. Security of content in transit against theft is provided by the largest SSL footprint, and website access authorization is controlled by geo-fencing, URL tokenization, and IP address white and black listing so you can enforce licensing restrictions and prevent theft of content.

Venusense ADM (Venusense Traffic Anomaly Detection and Mitigation System), is an intelligent anti-DDOS security defense system developed by Venustech. The system is designed to identify and protect effectively and precisely against varied common attacks such as DOS/DDOS. The Venusense ADM provides perfect protection for data centers, websites, information platforms, interactive entertainment and other Internet-based network service against malicious attacks and destruction.

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Find out what your peers are saying about Arbor Networks, Cloudflare, Imperva and others in DDoS. Updated: May 2020.
420,458 professionals have used our research since 2012.
We monitor all DDoS reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.