Sentrix
Network Anomaly Detection — Powered by Bayence
Networks change constantly — new services, shifting traffic patterns, evolving threats. Sentrix applies the Bayence ML Factory to flow telemetry, continuously learning your environment's baseline and surfacing the deviations that actually matter.
How It Works
A fundamentally different approach to network anomaly detection — no rules, no static thresholds, no manual tuning.
Adaptive Anomaly Detection
We unify deep reconstruction, generative, and sequence-aware models into a single adaptive system. Subtle structural shifts, evolving patterns, and precise, context-driven responses become actionable.
Multi-Model Ensemble
During inference, our product correlates results from all relevant models to provide accurate, actionable events. We apply a novel ensemble-based approach versus the standard "one-model-fits-all".
Minimal Setup
Deploy seamlessly in a variety of network environments with a simple, efficient setup process. No complicated rules tuning or lengthy configuration required.
Actionable Insights
Our automated scoring engine provides security teams with clear, contextual information to rapidly respond to threats. Know what matters and why.
Use Cases
Built for network operators who need precision detection without the operational overhead.
Pulsed DDoS Detection
Detect advanced, low-and-slow DDoS attacks that evade traditional volumetric detection.
Carpet-Bomb Attack Detection
Identify distributed many-to-many attack patterns across your infrastructure.
Network Drift Detection
Automatically identify when network behavior changes in ways that indicate compromise.
Triage Reduction
Reduce the time and effort required to investigate security alerts by orders of magnitude.
Shape this product with us
We're working with a small group of design partners to define the feature set and deployment model. If you operate a network at scale and are frustrated with legacy detection tools, we want to talk.