Compare Cisco Sourcefire SNORT vs. Palo Alto URL Filtering PAN-DB

Cisco Sourcefire SNORT is ranked 8th in Intrusion Detection and Prevention Software with 1 review while Palo Alto URL Filtering PAN-DB which is ranked 13th in Intrusion Detection and Prevention Software with 3 reviews. Cisco Sourcefire SNORT is rated 9.0, while Palo Alto URL Filtering PAN-DB is rated 8.4. The top reviewer of Cisco Sourcefire SNORT writes "Enables us to prevent and detect intrusion in our network and actually decrease our SLA". On the other hand, the top reviewer of Palo Alto URL Filtering PAN-DB writes "Provides Threat Protection Across a Variety of Internet Connections". Cisco Sourcefire SNORT is most compared with Cisco Stealthwatch, Fortinet FortiWeb and Darktrace, 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
Find out what your peers are saying about Cisco, GFI, Darktrace and others in Intrusion Detection and Prevention Software. Updated: July 2019.
359,658 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
Solid intrusion detection and prevention that scales easily in very large environments.

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The Palo Alto solution has improved our organization by providing threat protection across a variety of internet connections. Our company also gets valuable insights regarding threat analysis.It's allowed us to have better visibility and protection from threats.Being able to manage blacklists and whitelists easily is very useful, especially for internal access and limiting outbound access.

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Cons
Integration with other components — even Cisco's own products — can be enhanced to improve administrative experience.

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One way Palo Alto can improve is by offering sandboxing. I don't know if they currently offer a sandboxing feature together with the firewall or not. They should provide secure sandboxing with the firewalls.Performance monitoring could use improvement.For hosting sites like Blogspot, they host sites that should be in different categories, but get lumped together in general. There needs to be more granularity or multiple categorizations.

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Ranking
Views
3,124
Comparisons
1,712
Reviews
1
Average Words per Review
619
Avg. Rating
9.0
Views
809
Comparisons
649
Reviews
3
Average Words per Review
221
Avg. Rating
8.3
Top Comparisons
Compared 15% of the time.
Also Known As
Sourcefire SNORT
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Cisco
Palo Alto Networks
Overview

Snort is an open-source, rule-based, intrusion detection and prevention system. It combines the benefits of signature-, protocol-, and anomaly-based inspection methods to deliver flexible protection from malware attacks. Snort gained notoriety for being able to accurately detect threats at high speeds.

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 Cisco Sourcefire SNORT
Learn more about Palo Alto URL Filtering PAN-DB
Sample Customers
CareCore, City of Biel, Dimension Data, LightEdge, Lone Star College System, National Rugby League, Port Aventura, Smart City Networks, Telecom Italia, The Department of Education in Western AustraliaTRI-AD, Telkom Indonesia
Find out what your peers are saying about Cisco, GFI, Darktrace and others in Intrusion Detection and Prevention Software. Updated: July 2019.
359,658 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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