Organizations are racing to deploy AI, but warning signs are accumulating. Earlier this year, an internal AI agent gave an engineer instructions that exposed sensitive user and company data for two hours. Around the same time, a large online retailer issued a 90-day safety reset after its AI assistant contributed to an incident that involved nearly 120,000 lost orders. And in the spring, an AI agent deleted a company’s production database and its volume-level backups in nine seconds. Over recent years, recurring events like these, among others, expose a widening gap between what AI can do and what organizations can safely control. “A year ago, most conversations were about accelerating AI adoption as fast as possible,” says Sandeep Johri, CEO at application security platform Checkmarx. “Today, boards ask tougher questions. Speed and governance have to move together now.”

Full report : CIOs are discovering that the biggest barrier to scaling AI isn’t the technology itself, but the organization’s ability to understand its own processes.