HackGPT Enterprise is a brand new device made for safety groups focuses on being scalable and compliant, assembly the rising want for efficient vulnerability assessments.
The platform helps multi-model AI, together with OpenAI’s GPT-4 and native LLMs like Ollama, enabling sample recognition, anomaly detection, and zero-day vulnerability discovery.
Developed by Yashab Alam, this cloud-native platform integrates superior AI and machine studying to automate professional-grade penetration testing.
Its machine studying capabilities correlate threats, rating dangers utilizing CVSS requirements, and prioritize exploits, streamlining what was as soon as a labor-intensive course of.
CategoryKey FeaturesDescriptionAdvanced AI EngineMulti-Mannequin Assist, Machine Studying, Zero-Day Detection, Danger Intelligence, Automated ReportingSupports OpenAI GPT-4, native LLMs like Ollama, TensorFlow, and PyTorch for sample recognition, anomaly detection, behavioral evaluation, ML-powered vulnerability discovery, CVSS scoring, impression evaluation, exploit prioritization, and AI-generated govt summaries with compliance mapping.Enterprise Safety & ComplianceAuthentication, Authorization, Compliance, Audit Logging, Knowledge ProtectionIncludes RBAC with LDAP/Energetic Listing integration, role-based permissions for Admin, Lead, Senior, Pentester, and Analyst roles, assist for OWASP, NIST, ISO27001, SOC2, and PCI-DSS frameworks, complete exercise monitoring, and AES-256-GCM encryption with JWT tokens and safe periods.Cloud-Native ArchitectureMicroservices, Service Discovery, Load Balancing, Multi-Cloud, Excessive AvailabilityUtilizes Docker containers orchestrated by Kubernetes, Consul-based service registry, Nginx reverse proxy with auto-scaling, deployment assist for AWS, Azure, and GCP, and options like circuit breakers, well being checks, and failover for reliability.Efficiency & ScalabilityParallel Processing, Multi-Layer Caching, Database, Actual-Time, Auto-ScalingEmploys Celery for distributed duties, Redis with reminiscence caching and TTL administration, PostgreSQL with connection pooling and replication, WebSocket for dwell dashboard updates, and adaptive employee swimming pools to deal with workload calls for.Enterprise Reporting & AnalyticsDynamic Stories, Actual-Time Dashboards, Log Analytics, Govt Summaries, Compliance ReportsOffers exports in HTML, PDF, JSON, XML, and CSV codecs; Prometheus + Grafana for monitoring; ELK stack (Elasticsearch + Kibana) for logs; AI-generated enterprise impression assessments; and framework-specific compliance documentation.
At its core, HackGPT follows an enhanced six-phase penetration testing methodology. Part one automates OSINT reconnaissance with instruments like theHarvester and Shodan, aggregating knowledge from multi-cloud environments reminiscent of AWS and Azure.
Scanning in section two employs parallel processing with Nmap and Nuclei for service fingerprinting and vulnerability correlation.
Subsequent phases deal with evaluation, secure exploitation through Metasploit, reporting, and retesting, all with built-in compliance mapping to OWASP, NIST, and PCI-DSS frameworks.
Enterprise safety features embrace RBAC with LDAP integration, AES-256 encryption, and audit logging to make sure sturdy knowledge safety.
HackGPT’s microservices structure, constructed on Docker and Kubernetes, helps excessive availability and multi-cloud deployments throughout AWS, Azure, and GCP.
Efficiency is optimized with Celery for process distribution, Redis caching, and PostgreSQL databases, permitting real-time dashboards through WebSockets and analytics by way of Prometheus and Grafana.
Deployment is simple: clone the GitHub repo, run the installer, and select modes like standalone, API server, or full stack with docker-compose.
Interfaces vary from CLI for interactive assessments to an online dashboard for monitoring and voice instructions for fast operations.
For enterprises, HackGPT reduces handbook effort, enhances accuracy in risk detection, and generates dynamic experiences in HTML, PDF, or JSON codecs. It integrates with SIEM methods and helps customized AI fashions, making it adaptable for superior customers.
Current recognitions place it among the many high AI cybersecurity instruments of 2025, highlighting its function in proactive protection. HackGPT could be cloned from GitHub.
Trying forward, the roadmap contains model 2.1 in Q3 2025 with risk searching and SIEM integrations, progressing to completely autonomous assessments in model 3.0 by Q1 2026.
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