The Global AI Race: Balancing Innovation and Security

**Executive summary:** The piece argues that the rapid global race to develop and deploy advanced AI creates significant security and governance risks—such as model reverse-engineering, API vulnerabilities, and incentives to 'move fast' at the expense of security—and recommends immediate defensive measures including rigorous pre-deployment testing (STRIDE/ATT&CK/ATLAS), expanded bug bounties and vulnerability management, continuous API security, transparent governance (e.g., EU AI Act), and regular red-team exercises to mitigate emerging threats.