AI safety encompasses the practices, policies, and technical safeguards that ensure AI systems operate securely, ethically, and in alignment with human values. This involves minimizing risks such as bias, data misuse, adversarial attacks, or unintended consequences. For enterprises, AI safety includes implementing strong governance, maintaining transparency, and incorporating human oversight to ensure outputs remain reliable and trustworthy. It is especially critical as organizations move toward more autonomous and agentic AI deployments.