Agentic AI Is Rewriting the Rules of Data Risk Management

BCG argues that agentic AI systems — which act on data at machine speed before humans can intervene — require a fundamental reframing of enterprise data risk, demanding a shared taxonomy that aligns privacy, cybersecurity, data governance, and business leaders around a common view of exposure. Scaling agentic AI responsibly requires a more connected operating model, with clear accountability, shared decision rights, and technology foundations that support controlled autonomy — all governance execution imperatives. For SEA mid-market CEOs deploying AI across operations, this piece provides a concrete accountability framework that bridges the gap between board-level AI strategy and on-the-ground execution risk.