Compliance Customization in Banking

How Computational Policies can be tailored to fit Banking, Financial Services, and Insurance

BFSI organizations face an ever-expanding challenge of complying with internal, industry, government, and even regional regulations.

The "reactive" approach to data governance is often due to a shortage of manpower to address the many data points that they keep. 

A recent study from IBM reveals that the average cost of a data breach in the financial industry was $5.90M in 2023.

Add on the regulatory penalties, which can range from $800,000-$200M+.

Then consider the resources required to fix the issue, and the total costs are eye-watering.

The answer for BFSI organizations lies within an automated data governance framework that can check for compliance and address issues proactively, before they can be exploited and/or fined.

What You're Getting

  • Today's regulatory landscape in Banking, Financial Services, and Insurance

  • Repercussions for non-compliance, including 3 case studies of financial players

  • Why compliance beyond a certain scaling point is a paradox for large enterprises

  • Why quality gates are the ultimate compliance customization solution

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