Risk data is growing at a rate that surpasses teams' ability to manually process it. Traditional risk management methods are becoming unsustainable as organizations expand.

Artificial intelligence is being used to address these challenges by creating a more continuous and data-driven risk management program. AI has the potential to improve efficiency and reduce risks associated with human error.

A guide from Vanta explores the use of AI in risk management, including how to close gaps in visibility and decision-making. The guide provides further information on implementing AI in risk management programs.