visezion/SENTRY-AI-Computer-Vision-Branch
A community-sourced, explainable AI IDS achieving 99.99% accuracy on UNSW-NB15, advancing cybersecurity research
This project helps cybersecurity analysts and network defenders identify malicious activity within network traffic. It takes raw network data, processes it, and then pinpoints unusual patterns, flagging potential intrusions. The output includes clear alerts and visual explanations (heatmaps) showing exactly which parts of the traffic are suspicious, allowing security teams to understand and respond quickly.
No commits in the last 6 months.
Use this if you need an advanced, highly accurate intrusion detection system that not only flags threats but also explains why certain network activity is considered suspicious.
Not ideal if you are looking for a simple, out-of-the-box solution without any technical setup or if your primary concern is merely blocking known signatures rather than detecting novel anomalies.
Stars
7
Forks
3
Language
Python
License
MIT
Category
Last pushed
Sep 15, 2025
Commits (30d)
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