Aurora uses ML-driven traffic clustering and human-in-the-loop rule generation to detect threats before they strike. Purpose-built for Link11 WAAP.
Total Requests
1.2M
Active Jobs
3
Pending Rules
12
Approved Rules
47
Features
From traffic analysis to rule deployment — Aurora handles the entire pipeline with AI-powered precision and human oversight.
Unsupervised machine learning groups similar traffic patterns to identify anomalous behavior automatically.
AI generates WAAP rules from traffic clusters with explainable conditions and confidence scoring.
Test rules against live traffic without enforcement. See block rates and false positives before deployment.
Review, approve, or reject AI-generated rules. Full control with AI assistance for faster decisions.
Deep visibility into request patterns, HTTP methods, status codes, top paths, and IP addresses.
Deploy approved rules directly to Link11 WAAP with one click. Instant protection, zero downtime.
How it works
Feed traffic logs from Link11 WAAP into the analysis pipeline.
ML algorithms group requests by behavior patterns and anomalies.
AI creates targeted WAAP rules with explainable logic.
Shadow-test rules against live traffic to measure impact.
Approve and deploy to Link11 WAAP with one click.
Start analyzing traffic and generating intelligent WAAP rules in minutes.