HackGPT Enterprise has officially launched as a production-ready, cloud-native AI-powered penetration testing platform designed specifically for enterprise security teams.
Created by Yashab Alam, Founder and CEO of ZehraSec, the platform represents a significant advancement in automated security assessments by integrating artificial intelligence with traditional penetration testing methodologies.
The platform combines OpenAI’s GPT-4 with local language models from Ollama, TensorFlow, and PyTorch to deliver sophisticated capabilities for vulnerability detection and assessment.
HackGPT’s advanced AI engine leverages machine learning for pattern recognition, anomaly detection, and behavioral analysis, enabling organizations to identify security weaknesses with greater accuracy and speed than conventional tools alone.
Key Enterprise Features
HackGPT Enterprise differentiates itself through its multi-model AI support, zero-day detection capabilities, and ML-powered vulnerability discovery.
| Main Feature | Description |
|---|---|
| AI-Powered Vulnerability Detection | Uses GPT-4, TensorFlow, and PyTorch for zero-day detection and ML-based pattern recognition |
| Enterprise Security & Compliance | Supports OWASP, NIST, ISO27001, SOC2, PCI-DSS with automated compliance reporting |
| Cloud-Native Architecture | Docker, Kubernetes, and multi-cloud deployment (AWS, Azure, GCP) with auto-scaling |
| Automated CVSS Scoring & Reporting | Generates reports in multiple formats (HTML, PDF, JSON, XML, CSV) with executive summaries |
| Six-Phase Penetration Testing | Intelligence gathering, scanning, assessment, exploitation, reporting, and remediation verification |
| Role-Based Access Control | LDAP/AD integration, AES-256-GCM encryption, and comprehensive audit logging |
| Parallel Processing & Performance | Celery-based distributed tasks with Redis caching for high-speed assessments |
| Multiple Interface Options | CLI, REST API, Web Dashboard, and Voice Commands for team flexibility |
The platform performs automated CVSS scoring, impact assessment, and exploit prioritization, streamlining the vulnerability management process.
Its machine learning engine reduces false positives while correlating vulnerabilities across complex infrastructure environments.
The platform enforces enterprise-grade security through role-based access control (RBAC), LDAP/Active Directory integration, and comprehensive audit logging.
It supports major compliance frameworks, including OWASP, NIST, ISO 27001, SOC 2, and PCI DSS, with automated compliance reporting and framework mapping.
Built on a microservices architecture, HackGPT leverages Docker containers and Kubernetes orchestration for scalability.
The platform includes 12 integrated services from PostgreSQL databases and Redis caching to Prometheus monitoring and Elasticsearch log aggregation.
Organizations can deploy HackGPT across AWS, Azure, and Google Cloud Platform environments.
The system supports parallel processing through Celery-based distributed task execution, enabling high-performance scanning of large network infrastructures.
Real-time dashboards powered by Grafana provide security teams with live assessment monitoring and KPI tracking.
HackGPT implements an enhanced six-phase testing framework: intelligence gathering with AI-powered OSINT, advanced scanning with vulnerability correlation, comprehensive assessment, exploitation with approval workflows, enterprise reporting, and automated remediation verification.
The platform offers multiple interfaces, including a command-line interface, REST API server, web dashboard, and voice command support, accommodating diverse team workflows and preferences.
HackGPT Enterprise is available on GitHub under an MIT License with additional enterprise terms.
The project includes over 15,000 lines of code, 90+ dependencies, and integrations with 50+ penetration testing tools.
Professional services, including custom deployment, training, and 24/7 enterprise support, are available through ZehraSec.
Yashab Alam indicated that version 2.1 (Q3 2025) will introduce advanced threat-hunting capabilities and ML-based false-positive reduction, with version 3.0 (Q1 2026) planned to feature fully autonomous security assessments and quantum-safe cryptography.
For organizations seeking to enhance their security testing capabilities with artificial intelligence, HackGPT Enterprise represents a comprehensive solution that bridges traditional penetration testing with cutting-edge AI-driven threat detection and remediation.
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