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NIST Enterprise Architecture Model (NIST EA Model) is a late-1980s reference model for enterprise architecture. It defines an enterprise architecture [ 1 ] by the interrelationship between an enterprise's business, information, and technology environments.
Enterprise architecture regards the enterprise as a large and complex system or system of systems. [3] To manage the scale and complexity of this system, an architectural framework provides tools and approaches that help architects abstract from the level of detail at which builders work, to bring enterprise design tasks into focus and produce valuable architecture description documentation.
Structure of the U.S. "Federal Enterprise Architecture Framework" (FEAF) Components, presented in 2001. [3]In September 1999, the Federal CIO Council published the "Federal Enterprise Architecture Framework" (FEAF) Version 1.1 for developing an Enterprise Architecture (EA) within any Federal Agency for a system that transcends multiple inter-agency boundaries.
With no arguments, {{NIST-PD}} produces: This article incorporates public domain material from the National Institute of Standards and Technology. There are four optional arguments: article, url, author, and accessdate.
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 ...
Published in September 2006, the NIST SP 800-92 Guide to Computer Security Log Management serves as a key document within the NIST Risk Management Framework to guide what should be auditable. As indicated by the absence of the term "SIEM", the document was released before the widespread adoption of SIEM technologies.
NIST Special Publication 800-53 is an information security standard that provides a catalog of privacy and security controls for information systems.Originally intended for U.S. federal agencies except those related to national security, since the 5th revision it is a standard for general usage.
Paul Christiano is an American researcher in the field of artificial intelligence (AI), with a specific focus on AI alignment, which is the subfield of AI safety research that aims to steer AI systems toward human interests. [1] He serves as the Head of Safety for the U.S. Artificial Intelligence Safety Institute inside NIST. [2]