AI Firewall Management
AI-powered firewall management and anomaly detection panel
Summary
An AI-powered security management panel that performs network traffic anomaly detection with TensorFlow-based deep learning models, analyzes existing firewall rule sets to identify conflicting and unused rules, and provides new rule recommendations.
Problem
Enterprise network security teams were manually managing hundreds of firewall rules. Anomaly detection was done reactively, with threats only discovered after damage occurred.
Solution
We developed a system that performs network traffic anomaly detection with TensorFlow-based deep learning models. Safe management is ensured with automatic rule optimization suggestions, one-click application, and rollback mechanisms.
Result
Security breach response time dropped from an average of 45 minutes to 13 minutes. False positive alarm rate decreased by 50%. Monthly security report generation time decreased from 2 days to 4 hours.
Can we build one for you?
If you have a similar need, let's set up a free discovery call.
Request a demo