Artificial Intelligence and Cybersecurity: Balancing Risks and Rewards

This report outlines best practices for securing and ensuring the resilience of AI systems. It urges organizations to adopt a risk-based approach, establish cross-disciplinary governance, and maintain an inventory of AI applications to reduce hidden risks. Emphasis is placed on disciplined transitions from experimentation to deployment, investing in cybersecurity, and applying a continuous “shift left, expand right, and repeat” lifecycle approach. Effective information governance, people- and process-based controls, and clear leadership oversight are essential. By prioritizing cybersecurity, organizations can manage risks, enhance resilience, and foster responsible, secure AI innovation.