ExtraHop announced the general availability of its new machine learning service, Addy.
When paired with the ExtraHop analytics-first workflow recently introduced as part of version 6.2, IT teams can easily and rapidly investigate issues from high-level performance metrics to individual transactions to packets in a matter of clicks rather than hours.
ExtraHop Addy is a SaaS offering that observes and analyzes all digital interactions and applies machine learning to detect anomalies in real time, helping IT teams take a proactive, data-driven approach to supporting and securing the digital experience.
Using wire data from the ExtraHop platform, Addy builds continuous baselines for every device, network, and application, and then proactively detects and surfaces potential issues in the environment directly into the ExtraHop UI. Feedback from in-house and crowd-sourced domain expertise complement the core algorithm and heuristics, helping to reduce the number of false positives over time to surface only the most critical issues.
In beta for the last year, ExtraHop Addy has helped early access customers spot and resolve hundreds of anomalies, from reverse DNS lookups to the Dyn DDoS attack. As a result, Addy customers have seen increased uptime, improved performance, and better collaboration across teams.
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