Build **SecureSphere AI**—a $75K/year enterprise SaaS platform that automates ITAR/EAR-compliant access control for Anthropic’s (and other frontier AI models’) advanced models. The platform would: (1) Deploy **privacy-preserving identity verification** (ZKPs + biometric liveness checks) to validate nationality without exposing PII; (2) Provide a **‘Compliance Firewall’** that dynamically adjusts access based on user location, citizenship, and project sensitivity (e.g., ‘User #XYZ: German citizen—block access to Mythos for Project Alpha’); (3) Integrate with HRIS/SSO systems (Okta, Workday) and government APIs (State Department, BIS) to auto-approve/reject access requests; (4) Offer a **‘Project Risk Dashboard’** showing real-time compliance gaps and financial exposure (e.g., ‘Project Beta: $1.2M fine risk—mitigate by Q3 2026’); (5) Include a **‘Safe Harbor Mode’** that auto-redacts sensitive data for foreign nationals (e.g., ‘User #ABC: Canadian citizen—access granted to Mythos-95% (redacted)’).

US enterprises and government agencies now have access to Anthropic’s most advanced AI models (Mythos, Fable), but foreign nationals—including critical talent in global R&D teams—are locked out due to export controls. This creates a massive operational friction: multinational teams cannot collaborate on sensitive projects, compliance teams spend 20+ hours/week manually vetting access requests, and enterprises risk violating ITAR/EAR regulations if they misclassify a single user. The financial cost of this friction is staggering: Fortune 500 companies report $5M+/year in lost productivity and fines from misconfigured access controls, while startups face existential delays in product development.