ARTIFICIAL intelligence risks and governance are moving from hype to accountability, with Omdia and Gartner outlining how organisations should prepare for 2027. The piece notes that 2026 saw rapid AI deployment across operations, but now boards and security teams must prove AI delivers value while being governable and secure.
Melinda Marks of Omdia emphasises cross‑department collaboration to manage data, establish guardrails for secure access and usage, and secure the software supply chain as AI systems grow more complex. Across governance, security, identity and budget, the landscape remains challenging, and more than half of organisations reportedly lack a defined approach to limit AI agent access.
The article highlights concrete recommendations to move beyond deployment to measurable value. Gartner and Omdia agree that success will be judged by ROI and productivity gains, not just technical prowess, with budgets expected to rise but driven by consumption‑based and token‑driven economics. A key warning is that autonomous agents are already present in operations, so CISOs must govern multi‑agent systems by action privileges to limit blast radii if things go awry.
The risks are broad: deepfakes threaten employment and credential theft, and supply chain compromises in 2026—particularly involving open‑source components and AI tooling such as Litellm package versions—underscore the need for resilient continuity planning. The piece urges proactive vulnerability management and a robust governance framework to track AI value while protecting enterprise operations.