The real danger with AI is quieter and wider than protecting an LLM. And it’s happening faster than security teams realize. These risks of AI in business: the silently expanding attack surface. When growing data pipelines, APIs, identity systems, and unauthorized shadow AI tools are left ungoverned, each becomes an entry point for attackers. Not to mention a risk to the enterprise. Here’s what security leaders need to know, and how to start closing the gaps before attackers

An employee can subscribe to and use a new AI tool in minutes . But developing the policy governing its use? Months . That’s an uncomfortable gap for technology and security leaders. Because many are used to the point-in-time Governance, Risk, and Compliance (GRC) assessment. Teams would run a quarterly evaluation, check the boxes, then revisit three months later. Now there's (rapidly-growing) shadow AI, data leaking into unsanctioned tools, and new AI pilot programs appear

Artificial intelligence is no longer optional—it’s a defining force behind competitive advantage. Yet as organizations adopt AI, many are left navigating a fragmented landscape of disconnected initiatives, unclear ownership, rising costs, and growing risk. The OakTruss Group AI Cube™ changes that. Our proprietary framework brings structure and clarity to enterprise AI adoption by combining a three-axis model—cognitive architecture, agent authority, and strategic scope—with a