🚀 Autonomous Red Teaming
AI-Powered Pentesting Agent
RedOpsAI combines SLMs with Multi-Agent Orchestration to automate reconnaissance, exploitation, and privilege escalation — simulating real adversaries at scale with ethical boundaries.
$ python redteam_agent.py --target example.com
[🔍] Starting reconnaissance phase...
[🎯] SQL injection detected on /login
[⚡] Privilege escalation successful
[📊] Generating report...
Advanced Capabilities
Cutting-edge AI technology meets ethical penetration testing
Web App Pentesting
Automated detection and exploitation of SQLi, XSS, CSRF, SSRF, and RCE vulnerabilities with intelligent payload generation.
Network Reconnaissance
Advanced port scanning, service enumeration, and vulnerability exploitation using AI-driven attack path discovery.
Active Directory
Automated privilege escalation and lateral movement techniques with BloodHound integration for domain analysis.
AI Orchestration
Multi-agent system with Planner and Operator agents using LangChain and CrewAI for intelligent decision making.
Reinforcement Learning
Dynamic attack path learning that adapts to target environments and improves over time through ML optimization.
Automated Reporting
Comprehensive PDF and Markdown reports with detailed attack chains, evidence, and mitigation strategies.
Built With Modern Tech
Core Framework
Python & C++ for high-performance operations
AI/ML Stack
PyTorch, TensorFlow, HuggingFace models
Agent System
LangChain, CrewAI, RAG Knowledge Base
Security Tools
Nmap, Metasploit, Impacket, BloodHound
Infrastructure
Docker, Kubernetes, CI/CD pipelines
Reporting
Markdown to PDF generation system
Ready to Test Your Defenses?
Experience the future of automated penetration testing. Let RedOpsAI discover vulnerabilities before malicious actors do.