Supervised ML models detect what’s known. Cyntros goes beyond that. Using unsupervised learning, it ingests high-velocity network traffic, continuously models normal system behavior, and flags deviations immediately- without relying on rules, labeled training data, or predefined indicators of compromise (IOCs).
Real-Time Anomaly Detection for Complex Networks
Cyntros is a network detection and response platform that uses unsupervised machine learning to identify anomalous behavior across distributed, high-throughput environments.
Supervised vs. Unsupervised ML
- No dependency on Known Threats
- Zero-Day Threat Detection
- High-Volume Traffic Analysis
How It Works
Behavioral Modeling
The platform continuously analyzes network activity to establish a dynamic behavioral baseline. This profile captures expected patterns of communication, traffic flow, and system interaction – serving as the foundation for detecting deviations and identifying anomalies.
Data Integration
Cyntros supports input from multiple network feeds and telemetry sources, enabling consolidated monitoring across distributed or segmented environments. A single instance can correlate behavior across multiple domains to provide unified detection coverage.
Alerting & Visualization
When anomalous activity is detected, Cyntros generates real-time alerts via a plugin interface that integrates directly with your existing visualization, SIEM, or monitoring platforms. This ensures fast response without disrupting established workflows.
Why Teams Choose Cyntros
Detects What Other Tools Miss
Cyntros catches anomalies traditional systems ignore – because it doesn’t rely on predefined patterns or attack signatures.
Works Out of the Box
No rules to write. No training data to label. Cyntros learns from your network as it runs.
Cuts Through the Noise
Fewer false positives mean your team can focus on real anomalies – not dig through alert clutter.
Fits Into Your Stack
Cyntros integrates cleanly with SIEM, XDR, and existing workflows – no rip-and-replace required.
Proven Results
95
of malicious network activity detected
for attacks missed by top security vendors including CrowdStrike, Microsoft, SentinelOne, BitDefender, ESET, and Sophos.¹
97
effective against CISA KEV network exploits
Cyntros outperformed real-world threats cataloged by the Cybersecurity & Infrastructure Security Agency (CISA).¹
0
zero disruption
Cyntros runs passively on mirrored traffic, integrating seamlessly with your stack — no interference, no gaps, no compromise to data flow or operations.
¹ Source: Cyntros Network Detection and Response Evaluation conducted by Miercom, an independent test lab – July 2025.
See What Your Network
Has Been Missing
Get a demo of Cyntros in action, or talk to a technical strategist about how we fit your environment.
