Fraud rarely announces itself. It blends into normalcy—hidden within transactions that appear legitimate, carried out by identities that pass every conventional check. As financial crime accelerates in both scale and sophistication, institutions are discovering that traditional defenses, while necessary, are no longer sufficient on their own. It is within this widening gap that DigsFact is redefining how fraud detection should work.

Rather than focusing solely on who is behind a transaction, DigsFact asks a more revealing question, does the transaction itself make sense? This shift lies at the center of the company’s approach. Most anti-money laundering (AML) and fraud prevention systems are built around identity verification—ensuring that a user is who they claim to be and checking whether they appear on any risk lists. DigsFact does not replace these systems. Instead, it complements them by examining the behavior and context of transactions in real time. According to Nishant Tomar, CEO, DigsFact, “We are not competing with existing fraud solutions. We complement them by answering a different question—whether a transaction itself is normal or potentially fraudulent.” This distinction may seem subtle, but it represents a fundamental rethinking of fraud detection in a world where criminals are constantly adapting their methods.

A defining feature of DigsFact’s platform is its decision to avoid reliance on personally identifiable information (PII). Traditional systems depend heavily on such data, building risk models based on identity, history, and demographic patterns. While effective to a degree, this approach can introduce bias and limit adaptability. “Over time, systems that rely on PII become biased toward historical patterns,” Tomar explains. “If fraud shifts to a new segment, those systems struggle to detect it.” By focusing instead on behavioral anomalies and transaction patterns, DigsFact eliminates this dependency. The result is a system designed to detect not only known fraud scenarios but also emerging ones—patterns that have never been seen before. This forward-looking capability is increasingly critical as fraudsters adopt advanced technologies, particularly artificial intelligence, to scale and refine their attacks. Unlike financial institutions, which must navigate regulatory frameworks and internal processes, fraudsters operate without constraints. “Fraudsters are moving at light speed with AI,” says Tomar. “Financial institutions, because of compliance and internal processes, often can’t move as fast. That’s where the gap exists.”

DigsFact positions itself as a bridge across that gap. While it cannot eliminate regulatory delays, it helps institutions accelerate innovation within existing frameworks, removing internal bottlenecks and enabling faster adoption of advanced detection capabilities.

The platform operates across two critical stages in the transaction lifecycle. The first is transaction monitoring, where DigsFact evaluates activity in real time after a transaction is initiated but before funds are transferred. This allows institutions to intervene at the most crucial moment—when fraudulent activity can still be stopped. The second stage extends even earlier, into the pre-transaction or back-office environment. Here, DigsFact identifies the subtle manipulations that often precede fraud. These may include changes to phone numbers to intercept one-time passwords, updates to beneficiary details, or alterations to payment methods. “Fraud doesn’t always begin with a transaction,” Tomar notes. “It often starts with small changes in the back office. If you can detect those early, you can prevent the fraud entirely.” This capability was introduced in response to customer feedback, reflecting the company’s collaborative approach to innovation. Rather than building solutions in isolation, DigsFact continuously engages with its clients to identify gaps and refine its offerings. “We started with transaction monitoring,” Tomar says. “But our customers showed us that the problem often begins earlier. So we expanded our solution to address that.” The company’s iterative, customer-driven model has become a cornerstone of the company’s strategy. Regular feedback loops and real-world insights ensure that the platform evolves in line with the challenges financial institutions actually face.

Beyond technology, DigsFact’s growth is shaped by strategic partnerships. Recognizing that fraud prevention requires a multi-layered approach, the company actively collaborates with organizations that serve similar markets. These partnerships—whether vertically or horizontally aligned—enhance the value delivered to shared customers. “Partnerships are key to how we expand and stay ahead,” Tomar explains. “When solutions complement each other, the customer benefits the most.” This collaborative mindset also underpins the company’s global expansion plans. DigsFact is preparing to extend its reach beyond the United States into Europe, Asia, and South America through new strategic alliances. Its platform is currency-agnostic, capable of operating across domestic and cross-border transactions, as well as emerging financial ecosystems involving digital assets.

As financial systems evolve to include cryptocurrencies and wallet-based transactions, DigsFact’s behavior-driven approach becomes even more relevant. By focusing on patterns rather than identity, the platform remains effective regardless of the underlying financial medium. Perhaps the most significant differentiator, however, lies in how the platform adapts to change. Traditional fraud detection systems often operate reactively—identifying new fraud methods only after they have occurred and updating rules accordingly. This reactive model leaves institutions perpetually one step behind.

DigsFact takes a different approach. “Our system evolves continuously,” says Tomar. “When a new fraud pattern emerges, we don’t wait to update rules manually. The system adapts in real time, enabling DigsFact to anticipate threats rather than chase them.” Each attempted fraud becomes an opportunity for the system to learn, refine, and strengthen its defenses.

DigsFact’s story is not about replacing existing systems, but about enhancing them. By addressing the blind spots that traditional approaches leave behind, the company is helping financial institutions build a more resilient defense against fraud. At its core, DigsFact represents a shift in perspective—from identity to behavior, from reaction to prediction, and from isolated solutions to integrated ecosystems. It is a shift that reflects the realities of modern financial crime and the need for smarter, more adaptive strategies.