The security of AI environments cannot be based on the measures of the perimeter alone; it must be verified on a regular basis.

Service leaders and veterans develop the critical thinking skills that will be increasingly important on the security landscape in this era of widespread artificial intelligence.

Click the video to learn how ISACA’s CMMI ® Cybermaturity Platform helps CISO’s, CIO’s, and large enterprise organizations build cyber maturity. Manage enterprise cybersecurity resilience, readiness ...

ISACA Now offers global perspectives and real-time insights on evolving challenges and opportunities facing our professional community—engage with leaders, experts and practitioners today. Explore our ...

AI adoption will accelerate. What is not inevitable is whether organizations build AI systems that they can defend under scrutiny, justify under regulation and trust under pressure.

ISACA’s community is strengthened by the many individuals who strive to make remarkable impacts in their industry, communities and organizations.

As the world becomes increasingly reliant on technology, the attack surface of cyberspace continues to expand. Cyberthreats have grown more sophisticated, posing significant risk to individuals, ...

With times of economic uncertainty on the horizon, ongoing talk of the ever-present skills gap and layoffs across many industries, cybersecurity professionals are wondering what to expect in the ...

In the 1980s, the US Air Force coined the term "cybersecurity" to describe the protection of computer networks. The term was first used in a public forum in 1985, when the Air Force published a paper ...

Introduction Generative artificial intelligence (GenAI), autonomous solutions, and AI-based business intelligence dashboards have become a fixture in many organizations due to their effectiveness and ...

Over half (51%) of European IT and cybersecurity professionals fear AI-driven cyber threats and deepfakes will keep them up at night next year, according to new ISACA research.

It is crucial to understand the inner workings of an AI system through these algorithmic audits that will provide us with insights into various aspects like training data, model development and ...