Jim Greenwell on the Future of Fraud Prevention

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Where is fraud prevention heading? How has the industry evolved over the past decade? And what will it take to stop the next generation of AI-powered fraud?

These were some of the questions we put to Jim Greenwell, Executive Advisor at Trustfull and Chief Executive Officer at Athenium.

With nearly a decade of experience in identity and fraud prevention, Jim has watched the threat landscape evolve from the inside. He helped build one of the earliest mobile payments platforms, identified the fraud risks emerging around it before much of the market did, and has since advised companies across identity, fraud, data, and verification, serving on multiple advisory boards along the way.

From verification to behavior

A decade ago, digital identity was largely a verification problem. The toolkit was familiar: passwords, knowledge-based authentication, and the gradual adoption of two-factor and multifactor authentication.

Today, the industry relies on a far broader and more sophisticated range of signals. Identity is no longer defined only by what a person knows or possesses, but increasingly by how they behave and interact online. The way someone types, moves a cursor, navigates a digital journey, or uses a device can all contribute to understanding whether an interaction is legitimate.

The challenge, however, remains the same: how do businesses assess identity and risk at scale without creating unnecessary friction for genuine customers?

This is where Jim sees Trustfull making a difference. Through passive digital footprint analysis and non-invasive background checks, Trustfull helps businesses identify risk without adding extra steps to the customer journey. This allows companies to strengthen fraud prevention while continuing to build fast and seamless digital experiences.

The age of synthetic fraud

Fraud has evolved just as quickly. What was once dominated by stolen credentials and account takeovers has expanded into increasingly complex forms, including the persistent challenge of first-party fraud.

The emerging threat Jim is watching most closely is synthetic identity fraud.

With generative AI, fraudsters can create entirely fabricated identities, build credible digital histories around them, and allow those identities to mature over time until they appear genuine. In this environment, successfully verifying or re-authenticating an identity through traditional methods may no longer be enough to prove that the person behind it is legitimate.

Trustfull takes a different approach. Rather than asking customers for more information or introducing additional friction at critical moments, it analyzes digital signals associated with an interaction to answer a more fundamental question:

Does this customer make sense?

Before a customer reaches traditional KYC, Trustfull can assess signals linked to their phone number, email address, IP address, device, and digital footprint. These pre-KYC insights help businesses identify suspicious or inconsistent profiles earlier, focus additional checks where they are needed, and create a smoother experience for legitimate customers.

This reflects a broader shift across the fraud prevention industry. After years of fragmented point solutions and the rise of orchestration platforms designed to connect them, the companies best positioned for the future will be those that combine proprietary data, deep domain expertise, and a unified platform capable of turning complex signals into actionable intelligence.

The next frontier: agentic fraud

The next frontier is the agentic economy: a world in which AI agents increasingly interact and transact with other agents on behalf of people and businesses.

This creates an entirely new set of trust questions:

Is the agent legitimate? Does it genuinely represent the customer? Is its behavior consistent with the task it has been authorized to perform? And can those decisions be made at machine speed?

As digital interactions become faster and more autonomous, traditional verification methods alone may struggle to provide sufficient context. Fraud prevention will increasingly depend on the ability to assess identity, intent, behavior, and risk in real time.

Trustfull is already extending its digital intelligence approach into agentic environments, helping businesses evaluate the signals behind automated interactions and make risk decisions at the speed these new ecosystems require.

Identity has evolved from verifying credentials to understanding whether a person - and increasingly an AI agent - makes sense in context.

As fraud becomes more synthetic, automated, and scalable, the advantage will belong to platforms that can answer that question instantly, globally, and without adding friction for legitimate users.

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See how Trustfull helps fraud teams stop fraud without sacrificing approval rates. Book a free consultation.