Can organizations balance harnessing the value of data with protecting consumer privacy? What is the balance between the ...

AI is reshaping the future. ISACA can help you stay ahead of the curve. Artificial Intelligence. What was once an ambitious concept is now a growing reality in the way we live and work. At ISACA, our ...

AI auditing needs leaders. Become one. ISACA ®, the leader in IT audit, introduces the first advanced audit-specific artificial intelligence certification designed for experienced auditors: the ISACA ...

The removal of end-to-end encryption in the United Kingdom is problematic. Additionally, governments appear to have conflicting attitudes toward privacy, which ultimately can lead to the erosion of ...

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

Organizations outsource processes and services for a variety of reasons: to cut costs, preserve resources, make room for growth and remain competitive in their industries.

COVID-19 imposed change on every aspect of life and business in 2020, but 2020 was also a significant year in the world of privacy protection for reasons beyond the pandemic. In 2020, enforcement of ...

Too often, well-meaning technology professionals attempt to explain risk to their enterprises and fail to achieve their objective. These professionals fully understand the state of the computing ...

Introduction. The adoption of AI technologies has skyrocketed in the last few years. In 2019, 58% of organizations used AI for at least one business function; by 2024, that number jumped to 72%. 1 The ...

With sensitive data residing everywhere and the breach epidemic growing, the need for advanced data security solutions has become even more critical. Compliance with regulations such as the EU General ...

When confidentiality, integrity and availability (CIA) were established as the main information security attributes in the 1990s, employees around the world were not working from home due to a global ...

Data-driven decision-making (DDDM) can never entirely be about “[m]aking decisions based on hard data as opposed to intuition, observation or guesswork” 1 because most data are never in a perfect ...