PhishFirewall LoRa is a hybrid penetration testing service that combines AI-driven automation with human expert analysis to assess security across networks, web applications, and APIs. The service operates on two pillars: - AI automation handles large-scale reconnaissance, endpoint scanning, fuzzing, and WAF evasion testing at speed. - Human analysts perform creative, context-driven attack simulations including deepfake voice cloning, vishing, pretexting, and multi-vulnerability chaining. Network penetration testing includes AI-driven OSINT and reconnaissance, automated lateral movement simulation, and password cracking optimization. Web application and API testing covers intelligent fuzzing for logic flaws, automated WAF evasion, and API schema validation and abuse testing. Specific vulnerability types addressed include BOLA (Broken Object Level Authorization), XSS chaining, and business logic manipulation. Social engineering capabilities include voice cloning for vishing attacks, AI-generated phishing payloads, real-time conversation simulation, MFA bypass testing, and psychological trigger reporting. The service is aligned with ISO 27001, NIST, and DORA compliance frameworks. PhishFirewall claims a 78% reduction in breach detection time and cites average breach costs of $9.48M as a financial justification for proactive testing.