NETWORK FLOW ANALYSIS · REAL-TIME CLASSIFICATION
Most tools just flag “suspicious traffic.” Aegis AI tells you exactly what happened, how confident it is, and what to do next — automatically.
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Model Accuracy
0%
Records Analyzed
0M+
Attack Categories
0
Model Ensemble
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A network intrusion detection system (NIDS) monitors network traffic for signs of attacks — unauthorized access, DDoS floods, port scans, and more. Traditional NIDS tools are good at flagging that something looks wrong. They're not good at explaining why, or what a human should actually do about it.
Aegis AI is built differently. It pairs a trained machine learning ensemble with an AI agent that reads the detection and writes a real incident report — severity, context, and a recommended next step — the same judgment a security analyst would apply, generated in seconds.
THE PIPELINE
Drop in a CICFlowMeter-formatted CSV of your network flows.
A 4-model ML ensemble classifies each flow across 13 attack categories.
An AI agent analyzes the highest-confidence threats and writes a clear, human-readable report.
Get severity, context, and a recommended response — ready to export as a PDF.
Most AI security demos work great until real traffic hits them. Aegis AI is live, with real signed-up users — and it's already been through the failures that matter: a production memory crash, a retrieval architecture rebuilt from scratch, and a concurrency fix that cut response time dramatically.
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