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FedRAMP And AI: Modernizing Best Practices To Accelerate AI Adoption In The Federal Government

Nov 22, 2024 - forbes.com
The article discusses the need for the Federal Risk and Authorization Management Program (FedRAMP) to modernize its practices to keep up with the rapid advancements in AI technology. The author, Vincent Danen, Vice President of Product Security at Red Hat, highlights the challenges faced by the FedRAMP program, such as its slow adoption of new practices and standards, and the rigorous certification process that slows down the deployment of major AI changes.

The author suggests that FedRAMP needs to provide more comprehensive and accessible guidance to enable companies and auditors to better understand how an offering should be developed and operated. By doing so, it can accelerate the government's ability to leverage AI effectively and efficiently. The author emphasizes the need for proactive action to lessen the growing pains of AI and realize its benefits sooner and more securely.

Key takeaways:

  • The Federal Risk and Authorization Management Program (FedRAMP) needs to modernize its best practices to accelerate the speed of AI adoption in the federal government.
  • FedRAMP certification process can slow down how quickly major AI changes can be deployed in the U.S. government.
  • FedRAMP has been slow to adopt new practices and standards, and often the last to finalize critical guidance, which could hinder the progress of AI.
  • A more agile regulatory framework is essential to prevent bottlenecks in the acquisition process and to leverage AI effectively and efficiently in the government.
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