Approved to Ship: What RBI's Data Governance Draft Asks of Your AI Stack
Four requirements, and the architecture that satisfies the regulator and the roadmap together.
Most banks and NBFCs have a promising AI pilot waiting on data access approval.
Protecting customer data used to mean controlling where it lived, but an agent now decides in real time which records to pull and what to put in front of a model. RBI's draft data governance guidance is written for that reality, and asks institutions to prove four things at the moment data is used.
In 30 minutes, Deepak Annamalai covers what the draft requires, where current architectures come up short, and the architecture that satisfies the regulator and unblocks the roadmap together.
What you will learn:
- The four things RBI's draft asks you to prove, and which AI projects each one blocks
- Why masking, tagging, and catalogues were never built for a real-time requirement
- One pipeline, diagrammed two ways: the version that falls short of the draft, and the version that satisfies it
Complete the form below to register
.png)
What will you learn?
"Delivering seamless digital workflows while meeting evolving compliance requirements is core to our mission. Skyflow's solutions support our customers as they grow into new markets"
TRUSTED BY
.svg)
.svg)
.svg)
Learn More About Skyflow
Ready to Get Started?
Let us show you why Skyflow is the better way — sign up to talk to an expert today.