Prelert's Director of Research and Development discusses anomaly detection from a more technical perspective, points out some of the data characteristics which make anomaly detection for real world problems challenging and describes some of the techniques we use for anomaly detection.
This short (3:29) video is a playful look at how Anomaly Detective acts as your personal machine intelligence partner, learning the normal behavior of your data and monitoring it for abnormal behavior. No more writing rules and thresholds for complex (and often changing) data.
Prelert's Rich Collier shows how Anomaly Detective enables proactive, real-time monitoring without thresholds, and slashes complex problem troubleshooting times.
In this short video Prelert's CTO, Steve Dodson, explains the approach and analytics that make real-time anomaly detection possible on all Splunk data.
Responsys' Sr. Security Architect shows how he is detecting advanced threats and reducing thousands of IDS alerts to an actionable few with Prelert's Anomaly Detective.
SNAP Interactive deploys dozens of production changes a day making traditional monitoring based on thresholds pretty much useless. Their Principal Architect, Nick DiSanto, explains why the say "Prelert + Splunk = Winning Combination."
TRAC Research principal analyst Bojan Simic and Prelert CEO Mark Jaffe discuss the best practices that achieve proactive monitoring amidst huge volumes of APM data.
Director of Product Management, Rich Collier explains Prelert's mission, 'data science packaged for everyday decisions,' and how that manifests in our automated anomaly detection analytics product for Splunk.