Compare DNIF vs. Splunk User Behavior Analytics

DNIF is ranked 11th in User Behavior Analytics - UEBA with 2 reviews while Splunk User Behavior Analytics is ranked 1st in User Behavior Analytics - UEBA with 10 reviews. DNIF is rated 7.0, while Splunk User Behavior Analytics is rated 8.2. The top reviewer of DNIF writes "Powerful analytics and machine-learning enable us to find attack patterns". On the other hand, the top reviewer of Splunk User Behavior Analytics writes "Easy to configure and easy to use solution that integrates with many applications and scripts ". DNIF is most compared with Splunk, IBM QRadar and ArcSight, 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 Splunk, Securonix Solutions, Rapid7 and others in User Behavior Analytics - UEBA. Updated: March 2020.
405,901 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
The solution is quite stable and offers good performance. It also works on a virtual machine. We haven't found any issues with it so far. It's been reliable.The response time on queries is super-fast.The User Behavior Analytics is a built-in threat-hunting feature. It detects and reports on any kind of malware or ransomware that enters the network.

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This intelligent user behavior analytics package is easy to configure and use while remaining feature filled.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.

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Cons
The vendor is fairly new and it's not as big as some of the international competitors. It's not a mature product. If you ask them to move data, it might take a lot of time.The solution should be able to connect to endpoints, such as desktops and laptops... If this solution had a smart connector to these logs- Windows, Linux, or any other logs - without affecting the performance of the connector, that would be wonderful.

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The ability to do more complicated data investigation would be a welcome addition for pros, though the functionality now gives most people what they need.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
The pricing is based on the log size.

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Pricing varies based on the packages you choose and the volume of your usage.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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1,573
Comparisons
1,049
Reviews
1
Average Words per Review
1,363
Avg. Rating
8.0
Views
7,611
Comparisons
5,348
Reviews
10
Average Words per Review
521
Avg. Rating
8.1
Top Comparisons
Compared 36% of the time.
Compared 21% of the time.
Compared 17% of the time.
Also Known As
Caspida, Splunk UBA
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Splunk
Overview

DNIF offers solutions to the world’s most challenging cybersecurity problems. Recognized by Gartner and used by some of the well-known global companies like PwC, Vodafone and Tata, this next generation analytics platform combines Security and Big Data Analytics to provide real-time threat detection and analytics to the most critical data assets on the Internet. With over a decade of experience in threat detection systems, DNIF has one of the fastest query response times and bridges the gap between searching, processing, analyzing and visualizing data thereby enabling companies with better SOC (Security Operations Center) management.

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.
Offer
Learn more about DNIF
Learn more about Splunk User Behavior Analytics
Sample Customers
Vodafone India, IDEA Cellular, RBL Bank, NCDEX, NSE8 Securities, AAA Western, AdvancedMD, Amaya, Cerner Corporation, CJ O Shopping, CloudShare, Crossroads Foundation, 7-Eleven Indonesia
Top Industries
VISITORS READING REVIEWS
Comms Service Provider50%
Software R&D Company26%
Media Company6%
Manufacturing Company6%
VISITORS READING REVIEWS
Software R&D Company28%
Comms Service Provider13%
Financial Services Firm10%
Retailer7%
Find out what your peers are saying about Splunk, Securonix Solutions, Rapid7 and others in User Behavior Analytics - UEBA. Updated: March 2020.
405,901 professionals have used our research since 2012.
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