The exponential rise in threat vectors and sheer volumes of attacks has created a huge rise in the number of false positives security teams have to deal with every day. Estimates suggest that as many as 26% of all alerts are false positives, and 25% of each day is taken by this burdensome task. So, how do you achieve a balance between an enhanced security posture without enduring ongoing alert storms? This webinar explains how the world’s only end-to-end Deep Learning framework delivers unparalleled efficacy and reduces false-positive ratios to <0.1%, backed by the industry’s only warranty that commits to this.
Join this webinar to learn the following:
- Find out how the same technology that powers autonomous cars works for cybersecurity
- Discover why Deep Learning has unique capabilities to solve tasks that machine learning models can’t
- Hear about security teams who witnessed alert storms dropping to a drip-feed
- Learn how existing EDR and AV solutions can be augmented to deliver the highest protection available
VP Product Marketing
Residing in Germany, Justin is a regular content contributor on key IT strategy topics and leads Deep Instinct’s Product Marketing. He has over 20 years of experience in bringing solutions to market with Cisco/AppDynamics, Software AG, and Microsoft amongst others.
Distinguished Sales Engineer
Brian is a Philadelphia-based Distinguished Sales Engineer with 20+ years of experience in Cybersecurity and Intelligence. Brian leads Deep Instinct’s security engineering team, overseeing North and South American territories. He is a thought leader and technology evangelist with a wealth of knowledge on AI, Deep Learning, and Machine Learning.