Summary

HackGPT Enterprise is a production-ready, cloud-native AI penetration testing platform for enterprise security teams. It automates and enhances cybersecurity assessments using advanced AI, ML, and a microservices architecture, delivering professional-grade reports and compliance mapping.

How It Works

Built on a cloud-native microservices architecture orchestrated by Kubernetes, it offers multi-cloud deployment (AWS, Azure, GCP) and high availability. An advanced AI engine integrates multiple LLMs (OpenAI GPT-4, local Ollama) and ML models for vulnerability discovery, risk intelligence, and automated reporting. Distributed task execution via Celery, Redis caching, and PostgreSQL persistence form its backend.

Quick Start & Requirements

• OS: Linux, macOS, or Windows WSL2.
• Python: 3.8+ with pip.
• Docker: Recommended for containerized deployment.
• Resources: Min 4GB RAM, 20GB disk.
• Install: Clone repo, run ./install.sh, configure .env with API keys.
• Docs: README serves as primary documentation.

Highlighted Details

• AI Engine: Supports OpenAI GPT-4, local LLMs (Ollama), TensorFlow, PyTorch; ML for zero-day detection and anomaly analysis.
• Enterprise Security: RBAC, LDAP/AD integration, AES-256-GCM encryption, JWT, comprehensive audit logging.
• Cloud-Native: Microservices, Kubernetes, Consul, Nginx, multi-cloud support.
• Reporting: Dynamic exports (HTML, PDF, JSON, XML, CSV), real-time Prometheus/Grafana dashboards, ELK stack for logs.
• Methodology: Enhanced 6-phase penetration testing workflow.

Maintenance & Community

Led by Yashab Alam (ZehraSec), the project has a public roadmap through Q4 2025. Support is available via email, GitHub issues/discussions. Links to contributor and company social media are provided.

Licensing & Compatibility

Licensed under MIT with enterprise terms. Commercial use is permitted with attribution. Usage must comply with laws, and unauthorized/malicious use is strictly prohibited. Liability is limited for enterprise deployments.

Limitations & Caveats

The platform requires significant resources and has a complex setup involving multiple services. Compliance frameworks like PCI DSS, SOC2, and ISO27001 have partial coverage. Ongoing development indicated by the roadmap suggests features may still be maturing.