Agentic AI Is Breaking Traditional Governance Models - Here's What Comes Next

This story was originally published on HackerNoon at: https://hackernoon.com/agentic-ai-is-breaking-traditional-governance-models-heres-what-comes-next. Traditional AI governance was built for prediction. Agentic AI changes the rules. Explore the Agent Governance Gap and Continuous Agent Governance. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai-governance, #agentic-ai, #artificial-intelligence, #responsible-ai, #governance-as-code-ai, #ai-safety, #enterprise-ai, #agent-governance-gap, and more. This story was written by: @tosin1. Learn more about this writer by checking @tosin1's about page, and for more stories, please visit hackernoon.com. Traditional AI governance frameworks were designed for predictive models, not autonomous agents. As organisations deploy systems capable of planning, reasoning, and acting independently, existing governance approaches are becoming inadequate. This article introduces the Agent Governance Gap and proposes the Continuous Agent Governance Model, a practical framework for governing AI systems that act rather than merely predict.