During November 2025 closed-beta operations, security-focused participants identified a critical prompt-injection vulnerability in our fraud detection architecture that could allow sophisticated attackers to manipulate royalty flows. Concurrent failures across Google Antigravity, Anthropic Claude, and OpenAI Atlas validated this as a systemic industry challenge that requires an immediate architectural response.
We have completed a comprehensive redesign that implements defense-in-depth zero-trust principles, eliminating text-based injection vectors, enforcing strict input sanitization, isolating AI processing in network-segmented sandboxes, and maintaining immutable blockchain audit trails for all fraud decisions.
This briefing details the $2 billion annual streaming-fraud ecosystem we are defending against, the specific attack vectors that compromise AI-powered detection systems, and the hardened architecture now protecting the revenue integrity of NIM Ecosystem. The briefing details what we found, including secrets we do not want to become public.
Document classification: Technical and Confidential - Stakeholder access only through SempreID. Distribution: Board, investors, senior technical leadership, security advisors Date: December 9, 2025 Version: 1.3
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