How can banks truly understand the changing regulatory landscape?

A graphic showing fleet tracking locations over a city.
(Image credit: Shutterstock / Ekaphon maneechot)

The EU AI Act came into force earlier this year, marking a major milestone as the first regulation of its kind for this emerging technology. While the Act has raised concerns about compliance costs and potential impacts on innovation, its overarching goal is to position the EU as the “global hub for trustworthy AI” and reduce risks associated with the new technology.

Although the Act will affect many industries, its immediate impact on financial services (FS) may seem less significant at first. The FS sector is already heavily regulated to ensure the safety and soundness of the financial system and protect consumers. However, there’s room for improvement in the eyes of the banks. Mitek’s 2024 Identity Intelligence Index found over a third (36%) of banks want better clarity on new regulations to enhance customer protection.

So, while the EU AI Act’s impact on banks may be limited for now the industry faces a fast-evolving regulatory landscape that will increasingly shape its future. Adapting to these changes will demand greater flexibility in managing emerging technologies and compliance complexities.

Now is the time for banks to refine their strategies, leveraging innovative processes and technology to combat identity theft and safeguard their customers. Let’s explore how they can adapt to meet these challenges effectively.

Chris Briggs

Senior Vice President of Identity at Mitek Systems.

Putting safety first

The Mitek Index found on average, 76% of banks surveyed believe fraud cases and scams have become more sophisticated. Of the challenges and concerns leaders have in their roles today, AI-generated fraud and deepfakes on the rise (37%) took the top spot. We see billions lost to fraud last year, with more than half a billion pounds in the UK, $8.8 billion in the US, and €1.8 billion in Europe.

Some banks may not even realize they are falling victim to these advanced tactics. Current anti-fraud systems and processes often lack the capability to detect deepfakes and other AI-driven threats, leaving institutions fighting an invisible enemy. Dealing with unknowns creates a rising tension within banks that could make these organizations fear that every transaction could be fraudulent.

Despite acknowledging the need to address these threats, many banks struggle to act quickly due to limited expertise and reliance on siloed, outdated systems that cannot keep up with the fluidity of modern AI-driven fraud tactics. Compounding this issue is the rise of increasingly sophisticated fraud tactics, including the creation of "fake" customers using synthetic identities or AI-generated personas. Banks often fail to fully grasp the scope of fake profiles, leaving critical gaps in their defenses.

To combat this, banks are investing in technology to analyze customer interactions and detect fraud. Success requires a balanced approach that prioritizes customer experience, compliance, and fraud prevention equally. By leveraging data and weighing customer lifetime value against fraud risks, banks can adopt a more nuanced strategy.

The stakes are high: once a fraudulent or synthetic identity successfully opens an account, it could persist indefinitely, posing long-term risks to both customer security and operational costs. By adopting this nuanced approach, banks will be able to make the necessary changes required to keep customers safe, and on their side, amid an increasingly complex fraud landscape.

The build or buy conundrum facing banks

Compliance is more than a tick-box exercise – regulations are needed as they solve real world problems. Financial institutions should start viewing fraud prevention and regulatory compliance as long-term, strategic opportunities to differentiate and bolster their cybersecurity.

To satisfy regulators, safeguard the customer experience, and stand toe-to-toe with fraudsters, financial services organizations should have a clear picture of the scale and nature of fraud within their systems. This can be achieved through specific techniques such as advanced anomaly detection using AI tools and machine learning, analysing transaction patterns for irregularities, and implementing tools like identity verification systems to spot synthetic or stolen identities.

Banks must constantly test the edge to balance both, giving the customer a frictionless ‘phy-gital' experience, while also identifying fraudulent activity. However, we have reached a tipping point where it’s no longer feasible for internal IT teams in banks to keep up with this increasing volume of regulations through manual, inefficient, and expensive processes that don’t meet expectations for seamless user journeys.

Align with regulatory standards, today and tomorrow

Banks should work with technology vendors to ensure product roadmaps align with regulatory standards, today and tomorrow. The FS industry has an opportunity to collaborate leveraging technology to develop better identity lifecycle strategies.

Multi-layered fraud detection allows banks to anticipate the constantly changing identity landscape, helping to protect vulnerable customers from increasingly sophisticated fraudulent attacks. In this way, fraud prevention must focus on converting raw data - such as login attempts, transaction anomalies, and device usage patterns - into actionable intelligence.

While banks can all individually work on protecting their own customers, it’s work that is not as efficient if done alone. To be more effective, the financial services industry needs to establish an identity intelligence ecosystem where banks and other financial institutions can collaborate and share fraud threats in real time. By working together and exchanging data on emerging fraud patterns, suspicious activities, and known threats, banks can enhance their ability to detect and prevent fraud more quickly, improving security for all customers.

Viewing regulation as a commercial opportunity

With regulatory requirements emerging and tightening across various sectors, banks and other financial institutions find themselves between a rock and a hard place. The good news is that banks have the hard-earned experience and many tools at their disposal to develop robust compliance programs and effectively navigate these regulatory challenges.

With the right combination of resources, institutions can develop scalable programs that adapt to future regulatory changes. While delivering compliance and risk programs is challenging, firms that build a cohesive strategy today will have a much easier time tomorrow. From there, establishing a fraud intelligence ecosystem between organizations and law enforcement could be essential to help all banks stay on top of regulations and keep their customers safe.

We've compiled a list of the best identity management software tools currently available.

This article was produced as part of TechRadarPro's Expert Insights channel where we feature the best and brightest minds in the technology industry today. The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/news/submit-your-story-to-techradar-pro

Senior Vice President of Identity at Mitek Systems.

You must confirm your public display name before commenting

Please logout and then login again, you will then be prompted to enter your display name.

Read more
An AI face in profile against a digital background.
How to harmonize the complexities of global AI regulation
Hands typing on a keyboard surrounded by security icons
Outdated ID verification myths put businesses at risk
An abstract image of a lock against a digital background, denoting cybersecurity.
Cyber resilience under DORA – are you prepared for the challenge?
A hand reaching out to touch a futuristic rendering of an AI processor.
Balancing innovation and security in an era of intensifying global competition
EU
I read the EU’s AI Act so you don’t have to - here are 5 things you need to know
A hand reaching out to touch a futuristic rendering of an AI processor.
Driving innovation and reshaping the insurance landscape with AI
Latest in Pro
Code Skull
Interpol operation arrests 300 suspects linked to African cybercrime rings
Insecure network with several red platforms connected through glowing data lines and a black hat hacker symbol
Multiple H3C Magic routers hit by critical severity remote command injection, with no fix in sight
ai quantization
Shadow AI: the hidden risk of operational chaos
An abstract image of a lock against a digital background, denoting cybersecurity.
Critical security flaw in Next.js could spell big trouble for JavaScript users
Digital clouds against a blue background.
Navigating the growing complexities of the cloud
Zendesk Relate 2025
Zendesk Relate 2025 - everything you need to know as the event unfolds
Latest in News
FiiO FX17 IEMs
Our favorite budget audiophile brand unveils wired earbuds with 26(!) drivers, electrostatic units, USB-C ultra-Hi-Res Audio, and a not-so-budget price
girl using laptop hoping for good luck with her fingers crossed
Windows 11 24H2 seems to be a massive fail – so Microsoft apparently working on 25H2 fills me with hope... and fear
Code Skull
Interpol operation arrests 300 suspects linked to African cybercrime rings
ChatGPT Advanced Voice mode on a smartphone.
Talking to ChatGPT just got better, and you don’t need to pay to access the new functionality
Insecure network with several red platforms connected through glowing data lines and a black hat hacker symbol
Multiple H3C Magic routers hit by critical severity remote command injection, with no fix in sight
Google Pixel 9a being held, from the back
The Google Pixel 9a’s mysterious delay may have just been explained