Trump is directing U.S. government departments to revise their artificial intelligence risk management frameworks.
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Today the U.S. Department of Commerce’s ...
The council released a new report, "Board meetings and the dreaded cyber risk update: a use case for exposure management," which captures highlights, anecdotes and insights from the inaugural meeting.
Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Is your AI trustworthy or not? As the ...
The National Institutes of Standards and Technology has issued the first version of its Artificial Intelligence Risk Management Framework that federal agency leaders and lawmakers hope will govern use ...
With the launch of the AI RMF 1.0, federal researchers focused on four core functions to structure how all organizations evaluate and introduce more trustworthy AI systems. Artificial Intelligence ...
Previous research has shown that stakeholders in the competitive alpine skiing communities consider risk management to be ...
Get the latest federal technology news delivered to your inbox. The need for effective cybersecurity in the federal government is more important now than ever before. Dr. Ron Ross, fellow at the ...
In December 2022, the National Institute of Standards and Technology (#NIST) released AI RMF 10, "Artificial Intelligence Risk Management Framework." I reviewed a draft copy a few months ago and ...
Exiger experts Clinton West and Brie Kelly shared frontline lessons from Ukraine in a GovCon Wire webinar on contested logistics.
The Committee of Sponsoring Organizations of the Treadway Commission (COSO) has published new guidance on how to apply the COSO enterprise risk management framework to effectively manage and mitigate ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results