Compare ExtraHop Reveal(x) vs. Palo Alto URL Filtering PAN-DB

ExtraHop Reveal(x) is ranked unranked in Intrusion Detection and Prevention Software while Palo Alto URL Filtering PAN-DB is ranked 13th in Intrusion Detection and Prevention Software with 3 reviews. ExtraHop Reveal(x) is rated 0, while Palo Alto URL Filtering PAN-DB is rated 8.4. On the other hand, the top reviewer of Palo Alto URL Filtering PAN-DB writes "Provides Threat Protection Across a Variety of Internet Connections". ExtraHop Reveal(x) is most compared with Darktrace, Cisco Stealthwatch and Vectra AI, whereas Palo Alto URL Filtering PAN-DB is most compared with Forcepoint Next Generation Firewall, Darktrace and Cisco Sourcefire SNORT.
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Most Helpful Review
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Ranking
Unranked
In Intrusion Detection and Prevention Software
Views
935
Comparisons
713
Reviews
3
Average Words per Review
221
Avg. Rating
8.3
Top Comparisons
Compared 52% of the time.
Compared 8% of the time.
Also Known As
Reveal(x), Revealx
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ExtraHop Networks
Palo Alto Networks
Overview

Reveal(x) provides the visibility, insights, and answers that security analysts need to respond quickly and confidently to the highest priority threats against their organization's critical assets. It starts by automatically discovering and classifying every device communicating across the network, and using machine-learning driven behavioral analysis to detect anomalous and malicious activity.

The majority of attacks and exposure to malicious content occurs during the normal course of web browsing activities, which requires the ability to allow safe, secure web access for all users. URL Filtering with PAN-DB automatically prevents attacks that leverage the web as an attack vector, including phishing links in emails, phishing sites, HTTP-based command and control, malicious sites and pages that carry exploit kits.

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Learn more about Palo Alto URL Filtering PAN-DB
Sample Customers
Wood County HospitalTRI-AD, Telkom Indonesia
Find out what your peers are saying about Cisco, GFI, Darktrace and others in Intrusion Detection and Prevention Software. Updated: October 2019.
372,124 professionals have used our research since 2012.
We monitor all Intrusion Detection and Prevention Software 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.
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