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 ...

To secure valuable data, organizations need to implement digital trust in software supply chains; however, several key ...

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

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

There is no crystal ball to forecast the future; however, organizations can make informed predictions about cybersecurity in the coming year.

Artificial intelligence can play a significant role in enhancing the security and privacy disciplines, but governance and ethical implications must remain top-of-mind considerations.

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 ...

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 ...

To keep pace, organizations must familiarize themselves with crucial global privacy regulations and critical trends shaping the future of data protection.