The provided documents explore the critical intersection of artificial intelligence security, formal theoretical frameworks, and emerging global regulations. Researchers propose adopting rigorous cryptographic foundations to define AI safety through modular games that measure system robustness and data confidentiality. Industry reports and policy papers highlight the shift toward AI red teaming and the necessity of "Know-Your-Customer" (KYC) schemes for compute providers to track the development of powerful frontier models. Legal summaries detail how landmark acts, such as California’s SB 53 and the EU AI Act, now mandate incident reporting, whistleblower protections, and mandatory safety evaluations for high-capacity systems. Collectively, these sources emphasize that as AI gains autonomy, the industry must transition from voluntary ethical pledges to enforceable oversight and standardized technical benchmarks. Together, they advocate for a system-level security approach to mitigate catastrophic risks like autonomous cyberattacks and the proliferation of biological weapons.