By adopting comprehensive governance frameworks and actively engaging in oversight, boards can successfully and safely navigate the complexities of AI risks.

How can enterprises secure and manage the expanding ecosystem of AI applications that touch sensitive business data? Start ...

Risk management in many organizations is mired in a framework that can't keep pace with the challenges that most enterprise ...

The EU AI Act has prompted fintech firms to reassess their credit scoring algorithms. For instance, major European banks now ...

New features for streamlined AI governance With this collaboration, Saidot introduces its new Model Catalogue feature with Azure model registry integrations to equip Microsoft Azure users with the ...

The challenge of IT visibility has evolved from a security and compliance issue to a fundamental business challenge.

Prime Minister Narendra Modi emphasized the shift from vote-bank politics to a governance model focused on national ...

Dive into this coauthored eBook by OneTrust and Protiviti to explore how organizations can establish a strong operating model for AI governance, addressing challenges around policies, development ...

RWA-powered marketplace lets investors stake capital and actively influence the performance of tokenized insurance pools ...

The 2.0 version, expected to launch next year, will provide more detailed responses based on more complex, humanlike thought ...

Uniqus Consulting has a scalable business model. The fledgling firm is focusing on growth in diverse markets such as the US, ...

Q Protocol merges onchain governance with legal enforcement for secure, decentralized decision-making through its unique Q Constitution.