Artificial intelligence (AI) risks have evolved significantly over the past year. Reports of OpenAI and Anthropic agents acting autonomously continue to unfold, igniting a development slowdown debate amid heightened security concerns. Organizations will need to address the state of their own AI security for 2027, but preparations begin now.
Organizations spent 2026 deploying AI at record speeds across operations. Top executives pushed for new innovations and urged employees to use them. Now organizations must prove they can govern, secure, and benefit from AI – a task that may be more difficult than simply implementing it.
As organizations enter an era of AI, security teams will need to proactively work across departments to be enablers of secure AI adoption, explains Melinda Marks, practice director of cybersecurity at Omdia. That includes “steps to best manage and protect data, set policies and guardrails for secure access and usage, and secure the software supply chain as it complexity increases," Marks tells Dark Reading.
Between governance, security, identity, budget constraints, and supply chain risks, enterprises are facing challenges from all angles. With three months of 2026 left to go, Gartner and Omdia released predictions and recommendations based on an evolving landscape that's heavily influenced by AI advancements.