CFO Slice

Organizations are increasingly struggling to manage cybersecurity risk as shrinking teams are tasked with overseeing rapidly expanding digital environments shaped by AI, automation, and cloud technologies. While many companies maintain formal frameworks and compliance structures, the reality is that governance capacity is not keeping pace with the scale and complexity of modern systems, creating a growing disconnect between perceived and actual control. A key shift is the rise of machine-driven risk, with bots, APIs, and AI systems now outnumbering human users and operating with limited oversight. These systems often lack clear ownership and governance, meaning risks can go unnoticed and accumulate over time. At the same time, reliance on dashboards and automated tools can create a false sense of security, masking gaps in accountability and operational control. Aaron Nicodemus argues that this “risk gap” is driven not by negligence, but by structural pressures, as organizations are expected to innovate, reduce costs, and meet regulatory demands simultaneously. Addressing the issue requires more realistic expectations from leadership, clearer accountability for automated systems, and better alignment between resources, risk tolerance, and operational demands.