DSCI: Agentic AI doesn’t need new laws; It needs controls you can prove
Picture a customer-service agent that can issue refunds on its own. The company’s policy is clear: refunds above Rs 25,000 need a manager’s approval. On paper, the risk is handled.
Now ask the question a regulator, a court or an investigator would ask after something goes wrong. Was that limit set on the refund tool itself, or only written into the agent’s instructions? In the words of the Data Security Council of India (DSCI): “Does the system block the payment, or only flag it afterwards?”
That single distinction sits at the heart of the AI Liability Industry Guidance for Agentic AI, a discussion paper DSCI released on 30 October. It is an India-focused attempt to answer the question that has quietly stalled many enterprise AI programs: when an AI agent acts and something goes wrong, who bears the consequences?
The question holding back adoption
The paper opens by naming the...
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