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The Risk Management Framework (RMF) is a United States federal government guideline, standard, and process for managing risk to help secure information systems (computers and networks). The RMF was developed by the National Institute of Standards and Technology (NIST), and provides a structured process that integrates information security ...
Elham Tabassi, a NIST electronics engineer, is working to develop a statistical measure of uncertainty for fingerprint decisions. Elham Tabassi is an engineer and government leader. [ 1 ] She was listed on the inaugural TIME100 Most Influential People in AI.
NIST Special Publication 800-37 Rev. 1 was published in February 2010 under the title "Guide for Applying the Risk Management Framework to Federal Information Systems: A Security Life Cycle Approach". This version described six steps in the RMF lifecycle. Rev. 1 was withdrawn on December 20, 2019 and superseded by SP 800-37 Rev. 2. [1]
Download as PDF; Printable version ... (NIST) to develop a generative artificial intelligence-focused resource to supplement the existing AI Risk Management Framework
Version 1.1 retained compatibility with the original framework while introducing additional guidance on areas such as supply chain risk management. Version 2.0, released in 2024, further expanded the framework's scope and introduced new guidelines on self-assessment and cybersecurity governance.
DIACAP defined a DoD-wide formal and standard set of activities, general tasks and a management structure process for the certification and accreditation (C&A) of a DoD IS which maintained the information assurance (IA) posture throughout the system's life cycle.
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