Acoustic Analytics (formerly IBM Watson Customer Experience Analytics) vs LogRhythm NextGen SIEM Platform

• Tealeaf provides a unique view into a website beyond what typical web analytics can provide.
• It captures all of a website's traffic, no need to tag pages or decide ahead of time what data you want to capture.
• Data is captured and processed in real-time which reveal unknown issues as they are happening.
• Replay session to see what a customer or user actually did and not just they remember doing when a problem occured.

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• LogRhythm is a great SIEM to learn content on because the building blocks are very intuitive and easy to implement. All of the concepts relevant to content development are literally represented as drag and drop building blocks that can be easily manipulated.
• The statistical building blocks contain powerful anomaly detection capabilities that are extremely difficult to implement in other SIEMs or not possible at all.
• LogRhythm does better event classification than any other SIEM by far. My team typically drops all classification schemes from default installations of SIEMs and rebuilds them from scratch. I can actually use LogRhythms event classifications in rules without worrying about excessive partial matches or correlating unwanted events.

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• More knowledge sharing sessions
• UI/UX Improvements
• More tooltips on icons

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• While searching for log events is quick, the interface isn't as user-friendly as other SIEM products.
• Many of the administrative/management functions are only available through the full LogRhythm desktop console, not through the web console.
• The LogRhythm agent, when used for FIM and RIM, is very memory intensive.

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• The ROI question needs to be focused on clients and not our use internally. We leverage this as a platform for designing customer journeys for our clients.
• The ROI case is far easier to make for eCommerce operators. Customer journey failings can be easily quantified and seemingly simple issues can generate large ROI outcomes. For web assets without a trading bias, ROI can be established using notional value attribution. For example, a lead for motor insurance that is lost can be costed based on average policy value over a typical lifetime; struggle on a customer self-service portal can be quantified on the cost of handling through a call centre; etc.

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• The ability to search through logs in a centralized location really helps us to provide RCA (Root Cause Analysis) to management for outages. This helps us to quickly identify the cause of outages and thus saves money due to reduced downtime.
• Being able to configure the alarms to provide real-time notification (and responses) to security events helps to prevent potential loss due to compromises (such as a fraudulent wire transfer).
• The initial investment in LogRhythm SIEM is somewhat expensive, however, the appliance is built to your specific needs so you won't have to constantly be upgrading the device as your company grows.

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