Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In an era of unprecedented advancements in AI, the National Institute of Standards and Technology (NIST) has released its "strategic vision for AI," focusing on three primary goals: advancing the science of AI safety, demonstrating and disseminating AI safety practices, and supporting institutions and communities in AI safety coordination.

A recent Gartner survey shared that, “61% of companies said their governance goals included optimizing data for business processes and productivity but only 42% of that group believed they were on track to achieve it.” Data governance is often viewed as a prohibitive, controlling, and time consuming process designed to slow down work. Traditional approaches to data governance can make it a complicated effort, detouring teams from implementing it, but it doesn’t have to be.