Customer trust is the foundation of the banking industry, and as banks and credit unions become increasingly digital and AI-focused in their services, it's become even more crucial.
But building trust is no longer just about brand and reputation. As the digital offering to customers has evolved, so have the ways fraud can happen.
For banks and credit unions to successfully implement AI while maintaining customer trust, a focus on cybersecurity, data privacy and responsible AI adoption is key to building confidence. And customers aren't the only ones who need to believe in the process. Regulators and partners must have confidence in what banks are doing too.
Banking has been in one of its biggest transformation periods for a decade, and with this comes more complex systems than ever before. Cloud infrastructure, open banking, embedded finance, APIs, real-time payments and AI are creating new opportunities but also new dependencies and vulnerabilities.
For banking leaders, trust is no longer just a compliance or risk department challenge. It now involves technology, data, operations, product and customer experience in ways it rarely did before. Because of this, it's increasingly difficult to understand where to build trust and security into the process, while staying transparent with customers.
Banks and credit unions have moved on from simply piloting AI to more sophisticated agentic AI that is used for customer service, fraud detection, product development and operations. But with this greater involvement comes a bigger challenge: how much autonomy should an AI agent have?
When deciding what trust looks like for your bank or credit union, these are the questions that must be answered ahead of time:
With improved digital banking, customers have come to expect instantaneous banking and customer service, but with this comes evolving fraud and financial crime. Banking systems are getting smarter, but so are the tactics used to attack them. Building robust, sophisticated fraud detection and prevention into the AI model is a necessity for customer trust, and having a human in the loop to verify is just as critical. In the State of Banking Transformation Report, almost a quarter of people specifically want a human involved when fraud or a problem with their money is on the line.
Traditional cybersecurity is no longer enough, especially when banks are eliminating as much friction from the customer experience as possible. From authentication to data protection, banks must now be prepared to fight fraud every step of the way.
when fraud or a problem with their money is on the line.
Navigating complex AI regulation is an ongoing challenge for banks and credit unions, as the need to move fast while maintaining compliance is a balancing act. Building resilient models alongside emerging regulatory expectations is key to ensuring innovation can move at speed, without compromising on safety.
Trust no longer sits solely with the bank. Instead, there's an ecosystem of fintechs, technology providers, and other partners across which trust is spread far and wide. So how do financial institutions ensure that risk is kept to a minimum while managing these dependencies? How can partners collaborate securely, and where does risk ultimately sit? Banks must answer these questions before extending AI deeper into these partnerships.
At Banking Transformation Summit USA, Trust in the System brings together banking, technology, risk, security and transformation leaders to explore how financial institutions can build confidence while continuing to innovate.