niherhalder/AI_Incident_Response_Assistant

# AI Incident Response Assistant ## Overview AI Incident Response Assistant is a Python-based cybersecurity automation tool designed to analyze security incident logs, identify potential threats, classify incident severity levels, and generate automated response recommendations. The project simulates an intelligent incident response workflow commonly used in Security Operations Centers (SOC) and cybersecurity monitoring environments. ## Features * Automated cybersecurity incident analysis * Threat classification and severity detection * Detection of: * Malware activity * Unauthorized access attempts * Phishing attempts * Brute-force login attempts * Ransomware indicators * Automated incident response recommendations * Executive summary generation * Text-based incident response reporting ## Technologies Used * Python * Cybersecurity log analysis * Detection engineering concepts * Security automation * Incident response workflow automation ## Project Structure AI_Incident_Response_Assistant/ ├── responder.py ├── incidents.log ├── incident_response_report.txt ├── requirements.txt ├── README.md └── screenshots/ ## How to Run 1. Open terminal inside the project folder 2. Run the script: python responder.py 3. The system will analyze the incident log file and generate: incident_response_report.txt ## Sample Detection Capabilities The system can identify: * Malware activity * Failed SSH access attempts * Phishing indicators * Ransomware behavior * Multiple failed login attempts ## Example Output The generated report includes: * Total incidents detected * Threat severity classification * Recommended response actions * Executive summary * Incident-by-incident analysis ## Screenshots Project screenshots are available in the screenshots/ folder. ## Future Improvements ## Author Niher Halder Cybersecurity Engineer | Detection Engineering | AI-Driven Security Analytics