As AI and its impacts continue to evolve, approaches to governance and risk management must evolve accordingly.

Mergers and acquisitions (M&A) increasingly rely on digital integrity. While cybersecurity due diligence (CSDD) is becoming ...

Modern malware challenges traditional ICS/OT cybersecurity with its ability to adapt and blend into normal operations, ...

Is your organization underestimating AI risk at senior levels? Discover five signs of critical AI oversight gaps and learn how to align leadership accountability with AI risk management.

Governance models must focus on how systems behave under stress, ensuring all trade-offs are visible and well-considered.

The cyberrisk agent (CRA) can accelerate risk discovery, enhance deal accuracy, and increase confidence.

Explore ISACA's updated CPE policy, offering flexibility with 30 non-domain CPEs and 90 domain-specific. Empower your career ...

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 ...

Author: Mary Carmichael, CRISC, CISA, CPA, Member of ISACA Emerging Trends Working Group ...

Abstract: Enterprises have long struggled to realize meaningful value from traditional cyberthreat intelligence programs. Common challenges include intelligence that is not actionable, overwhelming ...

Over the past few years, there has been a tremendous shift toward emerging technologies such as blockchain, robotics and artificial intelligence (AI). Global organizations and governments have come to ...

Artificial intelligence (AI) and machine learning (ML) have become essential tools for detecting threats and automating responses in cybersecurity. These advanced systems can analyze vast amounts of ...