Compare Cisco Sourcefire SNORT vs. Splunk User Behavior Analytics

Cisco Sourcefire SNORT is ranked 8th in Intrusion Detection and Prevention Software with 1 review while Splunk User Behavior Analytics which is ranked 4th in Intrusion Detection and Prevention Software with 9 reviews. Cisco Sourcefire SNORT is rated 9.0, while Splunk User Behavior Analytics is rated 8.0. 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 Splunk User Behavior Analytics writes "A powerful platform with straightforward configuration, but needs to be more scalable". Cisco Sourcefire SNORT is most compared with Cisco Stealthwatch, Fortinet FortiWeb and Darktrace, whereas Splunk User Behavior Analytics is most compared with Darktrace, Cisco Stealthwatch and Microsoft ATA.
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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.
361,058 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 solution is definitely scalable.The most valuable features are the indexing and powerful search features.The solution is extremely scalable. Our customers are regularly scaling up after installing Splunk.It's straightforward in terms of configuration and troubleshooting and log management and monitoring as well. These are the edge points in addition to it being a modular solution where you can capitalize on your current licenses with extra licensing models, which can match the customer's business requirement and it can help the customer to design or to actually plan for their own roadmap.The most valuable feature is being able to take data and put it into other systems so that we could see the output, and to see where we need to apply our focus.Because of some of the visualizations that we utilize, we are able to understand strange, unusual traffic on our networks.The most valuable features are its data aggregation and the ability to automatically identify a number of threats, then suggest recommended actions upon them.The most valuable feature is the ability to search through a large amount of data.

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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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In the future I would like to see simplified statistics and analytical threats.The correlation engine should have persistent and definable rules.They should work to add more built-in correlation searches and more use cases based on worldwide customer experiences. They need more ready-made use cases.The solution is much more expensive than relative competitors like ArcSight or LogRhythm. It makes it hard to sell to customers sometimes.The initial setup was complex because some of the configurations that we required needed customization.It could be easier to scale the solution if you are using it on-premise, not in the cloud.There are occasional bugs.

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Pricing and Cost Advice
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The licensing costs is around 10,000 dollars.There are additional costs associated with the integrator.My biggest complaint is the way they do pricing... You can never know the pricing for next year. Every single time you adjust to something new, the price goes up. It's impossible to truly budget for it. It goes up constantly.I hope we can increase the free license to be more than 5 gig a day. This would help people who want to introduce a POC or a demo license for the solution.

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Ranking
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3,124
Comparisons
1,712
Reviews
1
Average Words per Review
619
Avg. Rating
9.0
Views
7,993
Comparisons
4,739
Reviews
5
Average Words per Review
426
Avg. Rating
8.0
Top Comparisons
Compared 14% of the time.
Also Known As
Sourcefire SNORTCaspida, Splunk UBA
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Cisco
Splunk
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.

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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Learn more about Cisco Sourcefire SNORT
Learn more about Splunk User Behavior Analytics
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 Australia8 Securities, AAA Western, AdvancedMD, Amaya, Cerner Corporation, CJ O Shopping, CloudShare, Crossroads Foundation, 7-Eleven Indonesia
Find out what your peers are saying about Cisco, GFI, Darktrace and others in Intrusion Detection and Prevention Software. Updated: July 2019.
361,058 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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