● Detects Zero-Day & Nation-State Attacks
● Essential for Visibility & Analytics for DoD Zero Trust Framework
● Immediate Deployment & Fast Outcomes: Deploys in an hour or less
● Self-learning Platform Requires No Rules or Training
● Improves Efficiency with Automated Detection
● Cost Savings due to reduced Storage & FTEs
● On-Premise / Air-Gapped & Cloud Hosted Deployment Options
MixMode is purpose-built as a self-learning platform to handle any machine-generated data stream, and to detect and score in real-time variations from normal network behavior that warrant investigation.
What this means and why it allows for immediate deployment, is that MixMode is not reliant on rules or historical training data or model tuning by analysts to detect anomalous behavior worthy of investigation.
MixMode’s generative AI model learns on its own, generating a constantly evolving forecast of normal network behavior, informed by network activity, not by rules or thresholds. Deployment is not a heavy lift in terms of compute; and its lite, efficient Third Wave AI-based platform can handle billions of records per month, assuring comprehensive visibility and effective, precise alerting. MixMode utilizes a generative model constructed without human input, and therefore avoids bias inherent in supervised systems. MixMode’s self-learning AI’s understanding of normal and expected behavior positions analysts to effectively detect both novel and known attacks in real-time across any attack surface.