The AI RMF is intended for voluntary use to address risks in the design, development, use, and evaluation of AI products, services, and systems.
This publication provides a set of procedures for conducting assessments of security and privacy controls employed within systems and organizations.
This publication provides a catalog of security and privacy controls for information systems and organizations to protect organizational operations and assets, individuals, other organizations, and the Nation from a diverse set of threats and risks.
This work categorizes blockchain-based systems into a taxonomy based on differences in blockchain architectures, governance models, and other salient features. Context is provided for the taxonomy through the description of related terms, emerging standards, and use cases while highlighting relevant security and privacy considerations.
his report provides details about the recognition process, notes where demographic effects could occur, details specific performance metrics and analyses, gives empirical results, and recommends research into the mitigation of performance deficiencies.