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.

Recent advancements in artificial intelligence (AI) and machine learning (ML) have paved the way for the transformation of ...

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

Explore global results of ISACA’s 2025 AI Pulse Poll to see how AI is reshaping training needs, careers, risk management and workforce readiness.

While the world has been laser-focused on artificial intelligence (AI), major advancements are occurring in quantum computing.

ISACA’s 2025 Quantum Pulse Poll explores the insights of 2,600 digital trust professionals on quantum computing preparedness, risks, impact and more.

ISACA's Artificial Intelligence Governance Brief explores how AI governance must be in place throughout the AI lifecycle to achieve its benefits within the enterprise business strategy and to minimize ...

Multinational organizations must navigate complex legal and regulatory challenges when adopting cross-border cloud services, which requires strategic planning and compliance measures to ensure ...

A cybersecurity risk practitioner often remembers the following formula: Risk = Likelihood × Impact If risk were a static computation of likelihood and impact, there would be no need for CERT reports ...

In the realm of information systems, ensuring data integrity, security, and transparency are paramount. Traditional audit and control mechanisms have often faced challenges in keeping pace with the ...

White Paper | 18 October 2024 Understanding the EU AI Act: Requirements and Next Steps The rapid growth in the use of artificial intelligence (AI) technologies, especially generative AI (genAI), is ...