The transformation of industrial manufacturing into a digital-first, AI-driven ecosystem has introduced an era of ...

As software continues to play a greater role in everyday life, it is crucial to be able to understand and control it.

Despite AI's potential, it also involves new risk. Any failure of implementation or data quality variance may worsen the environmental landscape rather than protect it.

This guide brings together thought leadership from seasoned professionals who are navigating the intersection of AI and IT ...

White Paper | 15 July 2025 Threat Modeling Revisited Abstract: This white paper looks at threat modeling as a practical way for businesses to identify cyberrisk in an increasingly complex environment.

To secure valuable data, organizations need to implement digital trust in software supply chains; however, several key challenges, vulnerabilities, and risk factors must be addressed to establish ...

A leading provider of crypto asset services strengthened its data governance framework to enhance customer experiences, drive innovation, and maintain a competitive edge.

The recognition of digital identity is not a purely technological issue; it has significant social repercussions, both on economic transactions and on individual lives. It is not necessary to identify ...

In today’s evolving landscape of organizational governance, the role of the risk manager is more crucial than ever.

Insights can be gained by observing the similarities between the structure of the human brain and the learning function of AI.

Quantum computing progress will alter the dependence on current classical cryptography to safeguard data and network transmissions.