The massive convergence of cyber and physical systems has prompted the need for a framework based on engineering principles, the NIST fellow says.

How can enterprises secure and manage the expanding ecosystem of AI applications that touch sensitive business data? Start ...

As businesses increasingly turn to artificial intelligence (AI) to enhance innovation and operational efficiency, the need for ethical and safe implementation becomes more crucial than ever. While AI ...

Created in collaboration with experts from both the public and private sectors, the NIST AI Risk Management Framework is ...

Prioritizing identity hygiene simplifies the implementation of cybersecurity frameworks and creates a domino effect of ...

It is quite easy to spot a connection between the ISO/IEC 27001:2022 security standard, the NIST CSF 2.0 cybersecurity ...

Develop strategies to better prepare your organisation for the future, with an interdisciplinary perspective on risk and crisis management. The COVID-19 pandemic's unprecedented impact on business and ...

Manufacturers face mounting pressure to safeguard sensitive data, comply with stringent regulations, and protect their ...

The proposed rule leverages the cybersecurity framework developed by NIST and ... Proposed Rulemaking that proposes to mandate cyber risk management and reporting requirements for certain surface ...

The security and privacy of Protected Data will be a primary focus of risk assessments. It specifies the details ... or local processes to address risk Redundant contingency and management plans ...

He is a Chartered Market Technician (CMT). Risk management is the work of balancing opportunities for gains with the potential of making losses from your investing choices. This work is can help ...

Submit comments by December 30, 2024. Comments received after this date will be considered if it is practical to do so, but the NRC is able to ensure consideration only for comments received before ...