As AI becomes more deeply embedded in the processes that support employees and customers, it won’t fail quietly. It will fail at speed, at scale, and with consequences the business must own. And as autonomous systems begin making decisions that affect revenue, organizations can no longer settle for “secure enough.” They must prove that AI outcomes are correct, explainable, and protected from corruption. That proof must be engineered in from the start.