StealthNet AI - 2026 Pricing, Features, Reviews & Alternatives

StealthNet AI is an AI-powered penetration testing platform that delivers automated security assessments and hybrid testing engagements for organizations that require compliance-ready vulnerability analysis. The platform supports SaaS providers, financial technology firms, healthcare organizations, e-commerce businesses, and government contractors. It combines autonomous AI agents with validation by senior United States-based penetration testers to address both continuous and point-in-time security requirements. It is designed for organizations with one hundred to five hundred employees as well as managed security service providers and penetration testing firms seeking to scale offensive security delivery.

The platform offers three delivery models tailored to distinct security needs and risk profiles. The autonomous AI-only option deploys AI agents for continuous exploitation and chained attack validation across web applications, application programming interfaces, and external network surfaces. The hybrid model integrates AI agents with senior ethical hackers who hold certifications such as Offensive Security Certified Professional, Offensive Security Certified Expert, Offensive Security Web Expert, Offensive Security Experienced Pentester, Certified Red Team Operator, Certified Red Team Professional, Certified Ethical Hacker, GIAC Penetration Tester, GIAC Web Application Penetration Tester, Certified Information Systems Security Professional, Certified Penetration Testing Specialist, and eLearnSecurity Web Pentester. AI agents handle reconnaissance, scanning, and initial exploitation while human testers focus on complex attack chains, business logic flaws, and finding validation. The fully manual model delivers human-led testing for highly sensitive environments or compliance frameworks that require strictly manual methodologies.

The testing lifecycle covers automated asset discovery, open-source intelligence gathering, threat modeling, autonomous exploitation with proof-of-concept validation, and automatically generated reporting with severity scoring and remediation guidance. Testing encompasses web application security following OWASP Top Ten guidelines, API security assessments, external network penetration, internal network evaluation including Active Directory exploits and privilege escalation paths, cloud infrastructure testing across major providers, AI and large language model security reviews, source code analysis, hardware and Internet of Things device assessments, Wi-Fi security testing, red team operations, phishing simulations, and voice-based social engineering tests.

Engagements begin with scope definition and objective setting, followed by team assembly with an assigned project manager and dedicated communication channels. AI agent testing precedes human-led validation and report generation. Reports are structured to meet auditor expectations for compliance frameworks including SOC Two, PCI DSS, HIPAA, ISO Twenty Seven Thousand One, ISO Forty Two Thousand One for AI management systems, Food and Drug Administration medical device cybersecurity requirements, and Cybersecurity Maturity Model Certification. Remediation retesting validates patch implementation and confirms vulnerability resolution. The platform staffs only senior-level penetration testers with a minimum of five years of offensive security experience based in the United States to ensure data residency and regulatory compliance. Partner programs enable managed security service providers and penetration testing firms to integrate AI-augmented testing into their offerings.