Pillar Security has developed an AI security framework called the Secure AI Lifecycle Framework (SAIL), aimed at enhancing the industry’s approach to AI security through strategy and governance. The framework outlines over 70 risks and provides mitigations to support secure AI adoption across various sectors.
Tokio Marine Holdings has established a formal AI governance framework to guide its global operations in developing and using artificial intelligence. The policy emphasizes transparency, human oversight, and the elimination of bias while aligning with regulatory expectations in Japan, the U.S., and Europe.
Generative AI (GenAI) is rapidly becoming integral to business operations, often without proper oversight or approval, leading to what is termed as Shadow AI. Companies must establish clear governance policies to ensure safe and compliant usage of these powerful tools, preventing potential risks associated with unmonitored applications.
The article discusses the complexities of regulating artificial intelligence (AI) as various countries adopt different approaches to governance, resulting in a fragmented landscape. It explores how these regulatory strategies can influence global standards and the behavior of technology companies within this evolving environment.