Why traditional enterprise governance falls short in the age of Agentic AI
By Shubhradeep Nandi – CoFounder – ResponCibleAI
An enterprise completes its annual technology audit. The AI systems in production are reviewed, certified compliant, and signed off; a clean report filed and forgotten until next year. Within weeks, those same systems have changed. New prompts have reshaped their behaviour, fresh data has entered their memory, a model update has altered how they reason, and expanded tool access has widened what they can do.
The audited system no longer exists; a different one runs in its place. This is the quiet failure at the heart of enterprise governance in the age of agentic AI. For decades, governance rested on the premise that software follows fixed code, behaves predictably, and can be tested once and trusted thereafter. Autonomous agents pursue objectives, adapt to context, and evolve continuously. Applying controls built for static software to systems that never stop changing is thus a structural...
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