Data lifecycle management covers the processes, policies, and procedures to ensure data is effectively managed through its lifecycle. It describes how data flows through the enterprise and beyond.

Risk assessment is more than a box-checking exercise. The right framework is an essential part of proactive risk management designed to protect against data breaches or prevent non-compliance with ...

The lack of bank risk data is one of the major challenges in bank risk management. This paper proposes a general framework for bank risk data set construction, which provides an integrated process ...

Many banks have a typically top-down perspective on enterprise risk management (ERM). This approach underestimates the importance of data, the core bottom-up enabler for ERM, and compromises the ...

The DOD CIO's RFI for the Risk Management Framework revamp cited AI-driven cyber and continuous monitoring tools as key areas ...

1) A Framework for Risk Management Data security demands a hyper-security focus due to digital transformation. Fundamentally, being cautious involves finding weaknesses, evaluating vulnerabilities ...

ISO 31000 isn’t specifically a cybersecurity standard. Rather, it’s an overall business risk management framework that includes cyber risk management. Medium-sized and enterprise companies often apply ...

NEW YORK, May 13, 2025--Behavox, an AI insights company that transforms structured and unstructured corporate data into insights that safeguard and enhance businesses, today announced the launch ...

The final version of the NIST Risk Management Framework 2.0 is now available, providing government agencies and commercial enterprises alike with new guidance that aligns risk, privacy and cyber ...

Transform the inherent risks of human operations into an adaptive defense layer.

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 ...