As we previously discussed, earlier this year the National Institute of Standards and Technology (NIST) launched the Trustworthy and Responsible AI Resource Center. Included in the AI Resource Center ...
Emerging NIST guidance suggests that the long-standing practice of treating AI as “just software” for cybersecurity purposes is giving way to more novel approaches to managing AI risks.
Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...
On March 29-31, 2022, the National Institute for Science and Technology (NIST) held its second broad stakeholder workshop on its draft Artificial Intelligence Risk Management Framework, titled ...
The Risk Management Framework (RMF) was created by the National Institute of Standards of Technology (NIST) to standardize the best practices for managing cyber security risks. Familiarizing yourself ...
The National Institute of Standards and Technology has issued an expanded draft of its core cybersecurity framework document, which provides guidance for public and private sector organizations ...
Working in cybersecurity requires more than just technical talent; it demands a deep understanding of the frameworks that govern IT security. The NIST Cybersecurity & Risk Management Frameworks course ...
The National Institutes of Standards and Technology intends to release version 2.0 of its Cybersecurity Framework in the coming years, and this week, the agency teased some of the “potential ...
Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Is your AI trustworthy or not? As the ...
As it begins planning to revise its widely praised Cybersecurity Framework (CSF), the National Institute of Standards and Technology (NIST) has requested that interested parties supply comments on how ...
A phased guide to AI governance in cloud-native systems, aligning ISO 42001:2023 and NIST AI-RMF with lifecycle controls, ...
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