Splunk User Behavior Analytics vs Vectra AI comparison

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Executive Summary

We performed a comparison between Splunk User Behavior Analytics and Vectra AI based on real PeerSpot user reviews.

Find out in this report how the two Intrusion Detection and Prevention Software (IDPS) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Splunk User Behavior Analytics vs. Vectra AI Report (Updated: November 2022).
657,397 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"It's easily scalable.""The solution appears to be stable, although we haven't used it heavily.""The solution is fast, flexible, and easy to use."

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"What I like best about Vectra AI is that it alerts you about suspicious activities.""The most useful feature is the anomaly detection because it's not signature-based. It picks up the initial part of any attack, like the recon and those aspects of the kill chain, very well.""One of the core features is that Vectra AI triages threats and correlates them with compromised host devices. From a visibility perspective, we can better track the threat across the network. Instead of us potentially finding one device that has been impacted without Vectra AI, it will give us the visibility of everywhere that threat went. Therefore, visibility has increased for us.""It keeps up with the network traffic, which is a good thing. It provides more context to plain alerts compared to using an older system. So, it helps an analyst reduce the information overload.""Cognito Streams gives you a detailed view of what happens in the network in the form of rich metadata. It is just a super easy way to capture network traffic for important protocols, giving us an advantage. This is very helpful on a day-to-day basis.""It does a reliable job of parsing out the logs of all the network traffic so that we can ingest them into our SIEM and utilize them for threat hunting and case investigations. It is pretty robust and reliable. The administration time that we spend maintaining it or troubleshooting it is very low. So, the labor hour overhead is probably our largest benefit from it. We spend 99% of our time in Vectra investigating cases, responding to incidents, or hunting, and only around 1% of our time is spent patching, troubleshooting, or doing anything else. That's our largest benefit from Vectra.""The administrative privilege detection feature is the most valuable feature. The admin accounts are often highly accessible to the high-risk component of the environment. If those accounts are compromised or are being used in a suspicious manner, that's high-fidelity events for us to look into."

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Cons
"We'd like the ability to do custom searches.""I'm not aware of any lacking features.""I would like improved downward integration with other tools such as McAfee and other GCP solutions."

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"I would like to see data processed onshore. Right now, the cloud components, like Office 365, must be processed on servers outside of Australia. I would like to see a future adoption of onshore processing.""The reporting from Cognito Detect is very limited and doesn't give you too many options. If I want to prepare a customized report on a particular host, even though I see the data, I have to manually prepare the report. The reporting features that are built into the tool are not very helpful.""Integration with other security components needs improvement. It should have true integration as opposed to just being a separate pane of glass.""I would like more integrations with IOCs and threats currently on the Internet. I would also like to know which threats are based on zero-day attacks, current botnets, etc. Therefore, I would like more information on external threats.""They use a proprietary logging format that is probably 90% similar to Bro Logs. Their biggest area of improvement is finishing out the remaining 10%. That 10% might not be beneficial to their ML engine, but that's fine. The industry standard is Zeek Logs or Bro Logs, or Bro or Zeek, depending on how old you are. While they have 90% of those fields, they're still missing some fields. In very rare instances, some community rules do not have the fields that they need, and we had to modify community rules for our logs. So, their biggest area of improvement would be to just finish their matching of the Zeek standard.""An area for improvement in Vectra AI is reporting because it currently needs some details. For example, when you download a report from Vectra AI, you won't see complete information about the alerts or triggers. Another area for improvement in the tool is that sometimes, an alert has high severity, yet it's marked as low severity. Vectra AI should have a mechanism to change the severity level from low to high or critical.""If you hit a certain number of rules, triage filters, or groups, the UX responds more slowly. However, we have a complex network and a lot of rules. So, our setup might not be a typical implementation example. We even had UX engineers onsite, and they looked at issues, improvements, and user feedback. Since then, it has gotten a lot better, they even built in features that we specifically requested for our company."

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Pricing and Cost Advice
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  • "Their licensing model is antiquated. I'm not a fan of their licensing model. We have to pay for licensing based on four different things. You have to pay based on the number of unique IPs, the number of logs that we send through Recall and Stream, and the size of our environment. They need to simplify their licensing down to just one thing. It should be based on the amount of data, the number of devices, or something else, but there should be just one thing for everything. That's what they need to base their licensing on. Cost-wise, they're not cheap. They were definitely the most expensive option, but you get what you pay for. They're not the cheapest option."
  • "From a pricing perspective, they are very commercially competitive. From a licensing perspective, just be conscious that some of their future cloud solutions come with additional subscriptions. Also, if you're outside of the US, you will get charged freight for the device back to your country."
  • "Cost is a big factor, as always. However, I think we have a very good price–performance ratio."
  • "Vectra's licensing model could scale to our research network, which has multiple, 100-gigabit links."
  • "Vectra is a bit on the higher side in terms of price, but they have always been transparent. The reason that they are this good is that they invest, so they need to charge accordingly."
  • "My company pays for the Vectra AI licensing fee yearly. I know the figure because my company recently renewed the license, and it's okay, at least for the financial sector."
  • More Vectra AI Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The solution isn't overly expensive. It's quite affordable. It's not the priciest option on the market. I'm not sure of the exact cost as its not an aspect of the solution I directly deal with.
    Top Answer:The two platforms take a fundamentally different approach to NDR. Corelight is limited to use cases that require the eventual forwarding of events and parsed data logs to a security team’s SIEM or… more »
    Top Answer:What I like best about Vectra AI is that it alerts you about suspicious activities.
    Top Answer:My company pays for the Vectra AI licensing fee yearly. I know the figure because my company recently renewed the license, and it's okay, at least for the financial sector.
    Ranking
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    Average Words per Review
    350
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    9.3
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    9.1
    Comparisons
    Also Known As
    Caspida, Splunk UBA
    Vectra Networks, Vectra AI NDR
    Learn More
    Overview
    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.

    Vectra threat detection and response is a complete cybersecurity platform that collects, detects, and prioritizes security alerts. The Cognito platform for Network Detection and Response (NDR) detects and responds to attacks inside cloud, data center, Internet of Things, and enterprise networks. The platform also provides automated response capabilities for low-level threats and escalates more severe anomalies to security personnel.

    Cognito captures data for multiple relevant sources and enriches it with context and security insights. It starts by deploying sensors across different networks in datacenters, IoT, or enterprise networks. The algorithm extracts relevant metadata from network and cloud traffic. The information can also be non-security information that can help investigation. 

    The data is enriched with security context to support critical use cases, such as threat detection, investigation, hunting and compliance. The platform is machine learning-based, which enables it to adapt to any new and current threat scenario. It detects, clusters, prioritizes, and anticipates attacks by using identity and host-level enforcement. 

    With the Vectra platform, a person can investigate 50 threats in just two hours. By prioritizing alerts and leveraging threat intelligence, it provides faster results.Vectra solves today’s security challenges for network detection and response. 

    One of Vectra’s best features is the emphasis they put in pairing research and data science for security insights. It offers behavior codification with unsupervised, supervised, and deep learning models. 

    The pricing is according to a subscription model with a free trial available.Vectra is available for Office 365, Azure AD and AWS Brain.

    Features of Vectra AI

    • AI-based threat detection and response. 
    • Detects attacks in real time with behavior-based threat detection. 
    • Consolidates and correlates thousands of events, detecting threats. 
    • Enriches threat investigation with a chain of evidence and data science security insights. 
    • Machine learning techniques, including deep learning and neural networks. 
    • Gives visibility into cyberattackers and analyzes all network traffic. 
    • Continuous updates with new threat detection algorithms. 
    • Provides encryption at rest and in transit. For the AWS version, it offers AES-256 encryption via AWS Key Management Service. 
    • Guaranteed availability according to the SLA of the service selected. 
    • Does not connect to public sector networks. 

    Benefits of Vectra AI

    • Behavioral models use AI to find unknown attackers. 
    • Context increases the accuracy of threat hunting. 
    • Allows for proactive action by prioritizing the most relevant information. 
    • Provides a clear picture and extensive context for investigations. 
    • Aids decision-making in the incident response process. 
    • Helps working with large datasets by capturing metadata at scale. 
    • Automates time-consuming analysis. 
    • Reduces the security analysts’ workloads on threat investigations. 

    Other advantages of Vectra services include that they can be deployed in the public, private, or hybrid cloud. Support is available via email or online ticketing with an average of 4 hours of response. Phone support is available 24/7. 

    Vectra provides full on-site and online training and documentation. Regarding the user interface, it supports several types of web browsers, such as Internet Explorer, Microsoft Edge, Firefox, Chrome, Safari and Opera. However, it is not available for mobile devices.

    Reviews from Real Users

    Here’s what PeerSpot users of Vectra AI have to say about it:

    "One of the core features is that Vectra AI triages threats and correlates them with compromised host devices. From a visibility perspective, we can better track the threat across the network. Instead of us potentially finding one device that has been impacted without Vectra AI, it will give us the visibility of everywhere that threat went. Therefore, visibility has increased for us." - Dave W., Operations Manager at a healthcare company

    "It does a reliable job of parsing out the logs of all the network traffic so that we can ingest them into our SIEM and utilize them for threat hunting and case investigations. It is pretty robust and reliable. The administration time that we spend maintaining it or troubleshooting it is very low.” - T.S., Senior Security Engineer at a manufacturing company

    Offer
    Learn more about Splunk User Behavior Analytics
    Learn more about Vectra AI
    Sample Customers
    8 Securities, AAA Western, AdvancedMD, Amaya, Cerner Corporation, CJ O Shopping, CloudShare, Crossroads Foundation, 7-Eleven Indonesia
    Tribune Media Group, Barry University, Aruba Networks, Good Technology, Riverbed, Santa Clara University, Securities Exchange, Tri-State Generation and Transmission Association
    Top Industries
    REVIEWERS
    Financial Services Firm50%
    Insurance Company13%
    Government13%
    Security Firm13%
    VISITORS READING REVIEWS
    Computer Software Company17%
    Financial Services Firm12%
    Government11%
    Comms Service Provider9%
    REVIEWERS
    Financial Services Firm22%
    Mining And Metals Company17%
    Retailer17%
    Manufacturing Company11%
    VISITORS READING REVIEWS
    Computer Software Company20%
    Comms Service Provider17%
    Financial Services Firm8%
    Government8%
    Company Size
    REVIEWERS
    Small Business29%
    Midsize Enterprise36%
    Large Enterprise36%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise70%
    REVIEWERS
    Small Business16%
    Midsize Enterprise5%
    Large Enterprise79%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise15%
    Large Enterprise63%
    Buyer's Guide
    Splunk User Behavior Analytics vs. Vectra AI
    November 2022
    Find out what your peers are saying about Splunk User Behavior Analytics vs. Vectra AI and other solutions. Updated: November 2022.
    657,397 professionals have used our research since 2012.

    Splunk User Behavior Analytics is ranked 9th in Intrusion Detection and Prevention Software (IDPS) with 3 reviews while Vectra AI is ranked 5th in Intrusion Detection and Prevention Software (IDPS) with 7 reviews. Splunk User Behavior Analytics is rated 9.4, while Vectra AI is rated 9.2. The top reviewer of Splunk User Behavior Analytics writes "Easy to use with a great dashboard and a simple setup". On the other hand, the top reviewer of Vectra AI writes "Gives us a greater level of confidence that we will be able to detect threats more quickly". Splunk User Behavior Analytics is most compared with Darktrace, Microsoft Defender for Identity, Elastic Enterprise Search, Cisco Secure Network Analytics and KerioControl, whereas Vectra AI is most compared with Darktrace, Cisco Secure Network Analytics, ExtraHop Reveal(x), Corelight and Trend Micro Deep Discovery. See our Splunk User Behavior Analytics vs. Vectra AI report.

    See our list of best Intrusion Detection and Prevention Software (IDPS) vendors.

    We monitor all Intrusion Detection and Prevention Software (IDPS) 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.