
Implementing NIST AI RMF: Governing (Part 1 of 4)
Transforming the NIST AI Risk Management Framework from compliance theater to strategic enablement. Part 1 focuses on governance structures that accelerate AI adoption while managing real risks.
Thoughts and insights on technology, leadership, and software engineering.
Transforming the NIST AI Risk Management Framework from compliance theater to strategic enablement. Part 1 focuses on governance structures that accelerate AI adoption while managing real risks.
Exploring how AI integration is reshaping software development team structures and the evolution from traditional PRD workflows to AI-augmented collaboration patterns.
McKinsey's latest research reveals a striking gap between GRC aspiration and implementation reality, further making the case for top-down approaches to risk management.
A multi-dimensional framework for maintaining disaster recovery and business continuity plans through incremental reviews, addressing the gap between documentation and actual recovery capabilities.
Examining how traditional risk frameworks apply to emerging AI technologies, with a focus on agent-to-agent communication systems and multi-context planning.