The accelerating adoption of AI in robotics introduces new legal risks, and as AI integration and scaling in robotics operations increases, so too does the scope and complexity of risks and liabilities. AI governance is the management of rules, practices and risks to ensure AI usage or development is tracked, managed and secure, and is distinct from cybersecurity, which focuses on protecting systems from unauthorized access. Organizations continue to deploy AI faster than they are implementing oversight frameworks, creating a ‘governance gap’ in areas such as data ownership, cybersecurity, and reputational harm. Anthropic’s decision in 2026 to withhold public release of its most advanced model, Claude “Mythos,” provides a case study in how AI governance, safety and legal risk are beginning to shape deployment.