HexStrike AI, the leading autonomous cybersecurity framework, today revealed smooth integration with ChatGPT, Claude, and GitHub Copilot, enabling these AI agents to coordinate over 150 professional safety and security tools for detailed penetration screening and vulnerability knowledge.
This landmark equips developers, red groups, and pest fugitive hunter to harness conversational AI user interfaces for advanced, totally automated security evaluations.
Improved a modular Multi-Agent Control Method (MCP), HexStrike AI v 6.0 sustains indigenous ports for three of one of the most popular large language versions.
By linking ChatGPT, Claude, and Copilot with its comprehensive toolset, HexStrike AI changes easy text motivates right into multi-stage strike chains, total with context-aware device choice, real-time progression visualization, and AI-driven exploit advancement.
According to HexStrike AI’s paperwork , the system provides:
- 12 + specialized AI representatives, consisting of an IntelligentDecisionEngine for strategic preparation, CVEIntelligenceManager for real-time vulnerability feeds, and AIExploitGenerator for automated manipulate crafting.
- 150 + incorporated security tools spanning network reconnaissance, internet application scanning, cloud protection bookkeeping, binary evaluation, CTF challenge addressing, forensics, and OSINT process.
- An effective visual engine with animated development bars, color-coded vulnerability cards, and live dashboards for executive and technical coverage.
“The assimilation of ChatGPT, Claude, and Copilot with HexStrike AI streamlines complex protection procedures,” said m0x 4 m 4, lead programmer of HexStrike AI.
“Security experts can currently issue natural-language commands– such as ‘Audit our GraphQL API for security problems’– and obtain thorough, step-by-step assessments powered by over 150 enterprise-grade devices.”
In method, a basic punctual triggers an AI agent to perform jobs like subdomain enumeration with Amass, service exploration with Nmap, internet scanning with Centers and HTTPx, 0-day research using CVEIntelligenceManager, and exploit generation via AIExploitGenerator, all coordinated by the IntelligentDecisionEngine.
Results are streamed to interactive control panels, highlighting critical searchings for with CVSS scores, proof-of-concept exploits, and removal suggestions.
HexStrike AI’s efficiency standards show dramatic efficiency gains over hands-on processes:
| Evaluation Kind | Guidebook Testing Time | HexStrike v 6.0 AI Time | Speed-Up Factor |
| Subdomain List | 2– 4 hours | 5– 10 minutes | 24 × |
| Vulnerability Scanning | 4– 8 hours | 15– 30 mins | 16 × |
| Internet Application Security Checking | 6– 12 hours | 20– 45 mins | 18 × |
| CTF Difficulty Solving | 1– 6 hours | 2– 15 minutes | 24 × |
| Automated Exploit Growth | 2– 10 days | 30– 120 mins | 96 × |
The system layer also implements stringent security and conformity controls. Safe Mode protects against devastating testing in manufacturing, range recognition makes certain accredited borders, and audit logging captures every representative action.
Integration overviews provide detailed instructions to link ChatGPT, Claude, or Copilot using HTTP REST API for smooth adoption in existing advancement process.
HexStrike AI’s special mix of AI representative orchestration, tool variety, and conversational user interfaces establishes a new requirement for automated cybersecurity. By linking generative AI versions to an ever-expanding toolbox of safety devices,
HexStrike AI is positioned to equalize advanced infiltration screening, making elite-level defenses accessible to groups of all sizes.
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