🛡️ Cyber-Sentinel: Automated SOC Analyst

An automated Security Operations Center (SOC) agent designed to bridge the gap between complex security data and actionable defense.

Core Capabilities

• Real-time Log Monitoring: Analyzes system and network logs to detect spikes in suspicious activities (e.g., brute-force attempts).
• Incident Triage: Uses LLM logic to distinguish between routine errors and potential security breaches.
• Automated Response: Capable of generating firewall rules or blocking malicious IPs after an administrator’s approval.
• Security Summarization: Translates technical vulnerability scan results into executive summaries for management.

Integration Path

This project leverages the existing security tools located in Python/08_Cybersecurity/Tools/:

• log_frequency_analyzer.py: Used for baseline behavior monitoring.
• subnet_scanner.py: Used for network discovery and asset management.
• file_search.py: Used for identifying sensitive files or unauthorized access patterns.

Roadmap

1. Phase 1: Integration of existing Python security scripts as AI Agent “Tools.”
2. Phase 2: Slack/Teams interface for real-time alerting and command execution.
3. Phase 3: Automated report generation based on incident history.