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NIST 800-171 R2

NIST 800-171 provides recommended requirements for protecting the confidentiality of controlled unclassified information (CUI) for those working with the US government.

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NIST 800-53 R5

‍NIST 800-53 is a catalog of security and privacy controls for all U.S. federal information systems except those related to national security.

The NIST Risk Management Framework (RMF), also known as special publication (SP) 800-53, provides a list of controls that support the development of secure and resilient federal information systems. NIST SP 800-53 rev. 5.1/800-53B is the latest version, containing 20 control families, each with multiple controls divided into low, medium and high priority.

The CyCognito platform aligns partially or substantially to 10 of the 20 control families as applied to externally facing assets. To learn more about how CyCognito aligns with NIST 800-53, download the datasheet here.

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NIST Cybersecurity Framework

The NIST Framework for Improving Critical Infrastructure Cybersecurity (or “The Framework” for short) consists of standards, guidelines, and practices to promote the protection of critical infrastructure. It was created through collaboration between industry and government, and is published by Part of the National Institute of Standards and Technology (NIST). The Framework was originally designed to foster risk and cybersecurity management communications among both internal and external organizational stakeholders.

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Natural Language Processing (NLP)

NLP is a branch of artificial intelligence describing the study of how computers can understand, interpret, and manipulate human language. This process is commonly used for analyzing large volumes of textual data and structuring data sources to resolve ambiguous language.

NLP resolves the need for syntactic and semantic understanding in the hundreds of complex and diverse ways people express themselves verbally and in writing to each other. NLP is important because it works out ambiguity in language and adds useful numeric structures to the data that is usable by a computer. These are useful for many applications, such as speech recognition or text analytics.

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