Read about how the implementation and adoption of standards could help expand the use of digital twin technologies.

AI governance is not just about risk management—it’s about building resilience and ensuring AI systems remain ethical, secure ...

NIST RMF, ISO 27001, COBIT, and more—finding the best fit can be challenging. CSO breaks down six widely used frameworks to ...

CISOs lead AI strategy without clear guidance. The CLEAR framework helps security teams track AI, enforce policies, and drive ...

The framework is designed to facilitate the creation, exchange and use of security assessment-related information in ...

As the decade nears its halfway mark, ransomware attacks continue to dominate headlines across newspapers and website ...

APPFL, Advanced Privacy-Preserving Federated Learning, is an open-source and highly extensible software framework that allows research communities to implement, test ...

Adopting AI for this task can potentially help implement the Phish Scale Framework and provide more real-time insights into training performance. The NIST Phish Scale framework offers a structured and ...

To guide risk managers, NIST has developed a Risk Management Framework (NIST SP 800-37), which aims to improve organizations' abilities to manage information system-related security risks in today's ...

It establishes a common regulatory and legal framework for AI within the European Union (EU). It came into force on 1st August 2024. It covers all types of AI across various sectors, except for AI ...

In a new article, the former director of the National Institute of Justice (NIJ) within the U.S. Department of Justice's Office of Justice programs proposes a framework to situate both the role of ...