More alarms are sounding for enterprises as digital fraud makes a heavy impact on consumers, with attackers becoming increasingly faster and more sophisticated in their exploits. At the start of a customer journey, bad actors are latching onto the weak links in the authentication process. Still, many developers and IT teams continue to rely on basic identity signals that these attackers can easily steal or socially engineer, resulting in more frequent manual checks.

And it’s becoming clearer just how costly mobile fraud is for businesses and individuals, with the FBI’s Internet Crime Complaint Center reporting $262 million in losses due to fraudulent schemes. Most often, these attacks are driven by impersonation tactics that trick victims into handing over multifactor authentication codes or one-time passwords (OTPs) to facilitate account takeovers (ATO). A textbook example of these tactics is SIM swap, which, for an attacker, is a nearly effortless way to hijack a person’s phone number. They’re then able to intercept verification codes to take over accounts, and the actual user doesn't realize what happened until it’s too late.

Today’s developers are caught between two challenges: knowing “who’s on the other end?” during logins or password resets and avoiding adding more steps that might provoke a customer to abandon their journey altogether. The need for tighter, more accurate identity verification is leading developer teams to realize the benefits of incorporating standardized, carrier-backed network APIs that can expose identity signals that run quietly in the background while keeping user friction out of the equation.

What changes when identity signals come from carrier networks

Identity checks, specifically in apps, are usually based on what the user (or attacker) types in or claims, whether that's a device fingerprint or a text message OTP. And most app-layer checks are validating these signals, but on the flip side, carrier-backed network APIs add another layer of proof that’s tied to the user’s mobile network records. In turn, it becomes more difficult for cybercriminals to manipulate these signals because they are not solely coming from just the device and its user.

According to The Identity Theft Resource Center’s 2025 Data Breach Report, findings show that 80% of consumers reported receiving a breach notice in the past year, with half of them experiencing an attempted account takeover. This strange sign-in behavior is something that developers risk missing right off the bat at the login page without the proper identity verification protocols in place.

With network-powered solutions, developers have two valuable, practical signals at their disposal that can be used immediately: SIM swap checks and number verification. SIM swap checks can allow developers to detect whether a user’s phone number has had a SIM number change recently, which is often the first step to account takeover or OTP interception. On the other hand, number verification can help validate and gather information about the phone number to ensure that it matches with an existing customer or a valid user.

What is perhaps the most important tool for application developers is the confidence in their decision-making for identity checks. And with this confidence comes a much smoother customer journey, resulting in stronger trust and continued brand loyalty.

Where network identity signals fit in the user journey

Mobile network data is especially important and valuable when it’s used to inform “trust decisions” or high-risk moments. Signals like SIM swap or subscriber matches are run invisibly in the background, where brands can confirm the user’s information invisibly based on network-level data, which adds confidence before actually granting access to proceed.

Network-based identity checks can also make the onboarding process more straightforward for new user sign-ups by confirming details like name, address, and date of birth, based on the data a mobile carrier already has on record. With identity-backed signals, developers can catch suspicious activity early on, without forcing extra steps on real, new customers.

Applying network signals

In order to successfully deploy network APIs as identity signals, developers must build them into decision-making in a way that is resilient and measurable. There are a few steps to consider when integrating network APIs to power network-powered insights:

• Centralize network checks in one risk layer, using real-time calls for high-risk moments only.
• Set timeouts so unavailable signals don’t block legitimate users and solely track outcomes so you can fine-tune for fraud impact and user drop-off.
• Treat missing or low-confidence signals as “unknown,” guided by confidence scoring rather than a strict yes/no.
• Only log decisions, not raw data, to reduce customer exposure and support privacy guardrails

Once those fundamentals are in place, the next question is how easily teams can scale the same approach across mobile carriers.

Overall, it’s important to note that network APIs don’t “solve” all identity verification issues. But they’re changing the default ways for the better by steering developer teams away from delicate, easily intercepted checks, toward more carrier-backed, reliable signals that strengthen confident decisions invisible to the user. A practical starting point is to identify where risks might be the highest and focus on the highest-value actions. Then, track the impact of fraud losses and how many users ended up completing their journeys. The teams that prioritize an adaptive, layered approach with network-powered solutions will see the greatest payoff in decreased user friction and stronger protection against attackers who can no longer take advantage of the common gaps they’ve historically relied on.