Cortex IDS
AI-powered Intrusion Detection & Prevention System (IDPS) for Windows environments that leverages Machine Learning to detect, analyze, and respond to malicious network activities in real time.
Workflow
Scope
Define the target use case, expected signals, and success criteria for Cortex IDS.
Collect
Gather inputs from Python, Machine Learning, Random Forest workflows while keeping the process reproducible.
Analyze
Normalize findings, flag anomalies, and preserve evidence for review.
Report
Turn the result into clear impact, recommended action, and next hardening steps.
Reviewer note
This page is a concise case-study view for recruiters, collaborators, and technical reviewers. It explains the purpose, maturity, and security value of the project even when a public repository or hosted demo is not available yet.
$ project.status --name "Cortex IDS"
status: Live
focus: Python, Machine Learning, Random Forest