Kyndryl has launched a new policy as code capability designed to help enterprises safely scale agentic AI workflows across complex and highly regulated environments by translating organizational rules, regulatory requirements and operational controls into machine-readable policies that govern how AI agents execute. The new capability addresses growing concerns around security, compliance and control that are preventing trusted deployment of agentic AI, with 31% of customers citing regulatory or compliance barriers as a key constraint on scaling technology investments. By embedding business and regulatory requirements directly into agent operations, Kyndryl enables explainable, reviewable and auditable AI workflows while defining clear operational boundaries that reduce errors, lower costs and accelerate decision-making. The capability forms a core enforcement layer within the Kyndryl Agentic AI Framework, dynamically governing how agents interact and operate across enterprise systems.
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“Kyndryl’s policy as code capability overcomes limitations of conventional AI agent controls and provides the structure customers need as they adopt agentic AI solutions,” said Ismail Amla, Senior Vice President, Kyndryl Consult. “By embedding and codifying business and regulatory requirements directly into AI agent operations, we can help customers execute AI workflow that is governed, transparent, explainable, and aligned with their organizational requirements.” Backed by decades of enterprise operations expertise and nearly 190 million monthly automations, the approach strengthens governance, improves agent explainability and reduces unexpected behaviors in production environments.