A single AI failure can now impact thousands of organizations simultaneously. That is the warning highlighted by Mythos, which argues that AI cyber risk is evolving beyond isolated incidents into a systemic threat. The concern is not theoretical. According to IBM’s 2024 Cost of a Data Breach Report, the average breach involving AI-related attack vectors cost organizations more than $4.8 million globally. As businesses integrate AI into operations, security gaps become deeply interconnected. Traditional security models were built for predictable systems. AI changes that equation by introducing autonomous decision-making, dynamic learning, and large-scale dependencies across vendors and cloud providers. The result is a new cybersecurity challenge that existing governance frameworks were never designed to handle. What Is Systemic AI Cyber Risk? Systemic cyber risk refers to threats capable of spreading across multiple organizations, industries, or critical systems at once.…