AI News Stories

What Banks Must Know About Governance

Written by Khemie Khan | Jul 27, 2025 5:04:32 AM

AI is changing everything, including the way fraud happens. For banks, credit unions, and fintech companies, the rise of AI-driven identity fraud is a growing threat. At the same time, expectations around security, privacy, and governance are getting tougher.

It’s no longer enough to protect logins and accounts. Financial institutions now need to protect identities in a world where deepfakes, synthetic profiles, and voice clones are being used to trick systems and people.

The New Face of Fraud

AI has made fraud smarter, faster, and harder to detect. Instead of basic scams, fraudsters are using:

  • Videos that look like real executives asking for money transfers

  • Voice recordings that sound exactly like a customer or manager

  • Fake identities created from stolen data and AI-generated photos

A Deloitte report from 2024 said synthetic identity fraud is now the fastest-growing financial crime in North America. It’s costing lenders over $6 billion a year.

Why This Matters

The financial losses are just the beginning. If fraud gets through your system, here’s what’s really at risk:

  • Regulators take notice. Failing to protect customer identities could mean investigations or fines.

  • Trust disappears. According to PwC, 81% of people would leave their bank if they felt their information wasn’t safe.

  • Operations slow down. Fraud impacts more than just security. It affects onboarding, lending, support, and even internal communication.

How Financial Services Can Stay Ahead

Fighting this kind of fraud takes more than just better tools. It takes a full plan — one that includes strong governance, smarter identity systems, and clear oversight.

1. Use Verified or Decentralized IDs

Instead of usernames and passwords, use systems where people control their own credentials. These are harder to fake and more secure.

2. Keep Verifying After Onboarding

Fraud doesn’t always happen at sign-up. Use biometrics and behavior tracking throughout the customer journey, not just at the start.

3. Build Internal AI Guidelines

Make sure you have policies for how your team uses AI, especially when it involves decisions about identity. Look at models from NIST or ISO to get started.

4. Use Tools That Detect AI

Look for identity tools that can spot deepfakes and AI-generated content. Make sure they work with your existing systems like your CRM or fraud detection platform.

5. Train Your People

Even the best systems need humans. Train your staff to recognize unusual behavior and AI red flags, especially in customer service or fraud review teams.

Don’t Wait to Close the Gaps

Identity protection used to be about passwords. Now it’s about staying ahead of AI. The organizations that lead on governance and fraud prevention will earn more than just revenue — they’ll earn lasting trust.