TrueMark leverages NIST RMF to ensure trustworthy AI, aligning with South Africa’s regulatory and societal needs.

The NIST AI Risk Management Framework is accompanied by a companion playbook that suggests ways to navigate and use the framework to “incorporate trustworthiness considerations in the design ...

When AI usage increased across departments, Washington University in St. Louis needed a way to manage it responsibly without ...

The Risk Management Framework recognizes that training data for an AI system may be subject to copyright and that AI system designers should follow applicable intellectual property laws.

Coalfire, an industry-leading cybersecurity services and solutions company, has been successful in hacking 100% of generative and agentic AI applications tested to date. To combat the evolving risks ...

The U.S. Department of Commerce’s National Institute of Standards and Technology (NIST) has released its Artificial Intelligence Risk Management Framework (AI RMF 1.0), a guidance document for ...

ISO 42001, the world’s first international certification standard and AI risk management framework. is a toolkit for forward-leaning companies who want to govern their AI strategy with the same ...

This fragmentation leaves organizations and their stakeholders struggling to assess and communicate their cybersecurity ...

Adopt a risk-based approach — Not all data is created equal. Organizations must prioritize security efforts based on the risk and value of their data, rather than applying one-size-fits-all ...

Fable Security has emerged from stealth mode with a solution designed to detect risky behaviors and educate employees.