Machine Learning for the Wire
Machine learning might be table stakes for modern IT monitoring solutions, but it's not enough to promise magic—your ML has to deliver. Meet ExtraHop Addy, the world's first cloud-based machine learning service for wire data.
Always on and always learning, Addy trains on the most comprehensive and objective source of data in your environment in order to surface real security and performance anomalies with the full context, precise transaction details, and automated investigation capabilities you need to reduce staff time-to-resolve by more than 50%.
Spidey-Sense for IT
Providing real-time situational insight so you can take a proactive, data-driven approach, Addy guarantees you'll never get blindsided. ExtraHop may not give you actual superpowers but with Addy as your eyes and ears, no one will be able to tell the difference!
ExtraHop Addy brings our environment into focus. With this service, we're alerted to issues we didn't know we had, and it makes us much more proactive in resolving them before the effects are widespread. We now have the data we need to be smarter about how we operate.
Enterprise Systems Support Specialist
State of Washington
Built on the Wire
Powerful, focused machine learning isn't a result of better math, it's a result of better data. By training ML on wire data metrics, ExtraHop achieves an unmatched level of precision and fidelity.
Easy to Start
Addy will start learning what's "normal" for your enterprise right out of the box, and only gets smarter with time. You don't have to worry about configuring or managing Addy at all.
Cuts Through the Noise
By only surfacing real anomalies, Addy helps you spend your time effectively instead of sifting through false-positives: the perfect early warning complement to cross-tier visibility.
Within three days of deploying ExtraHop's anomaly detection solution, it alerted on an anomaly that, an hour later, turned into a Sev-1 incident ... The fact that ExtraHop caught these things before they turned into major incidents tells us just how accurate the machine learning is. Knowing we can trust these alerts is going to make us much more proactive in averting these issues in the future.
IT Operations Manager
Large Canadian Financial Institution