Rodger Desai, CEO of Prove
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Rodger Desai is the CEO & Founder of Prove, one of the leading global companies in identity verification and fraud reduction.
Founded in 2008, Prove serves over one thousand corporations, including 9 of the top 10 US banks, and has raised around $200 million from Wellington, Oak HC/FT, Apax Digital, Mass Mutual, AmEx, Capital One, Verizon, and a long list of funds and impressive angels.
“Our view is that KYC, while super important, there will come a day, I don't think very far from now, where it will be table stakes and essentially free.”
According to Rodger, the current industry focus on mitigating fraud and security concerns is consuming substantial resources, yet money laundering and financial suspicious activities are still on the rise. The industry has historically operated on a fear-based model, heavily scrutinizing every transaction to catch fraudsters and driving up costs. This approach is inefficient, especially in a world where the vast majority of transactions are legitimate. In a more ideal scenario, technology should be able to handle identity verification seamlessly and accurately, much like how we make phone calls without needing to identify ourselves every time. And as the KYC industry gets further automated, we’ll see a dramatic reduction in manual intervention which could drive down costs significantly. In theory, by reducing the burden and resource-suck associated with fraud prevention and compliance, companies should be able to reallocate resources to their core customer functions.
Prove places a strong emphasis on accuracy in identity verification, focusing on deterministic methods rather than probabilistic ones. By leveraging phone numbers and their associated metadata as a primary means of verification, Prove eliminates the guesswork and ensures that the identity claimed by an individual is indisputably linked to their phone number, making it virtually impossible for fraudsters to impersonate someone else. This method has proven so effective that Prove now has an enviable record in identity verification accuracy.
One of Rodger’s most critical concerns around AI-driven fraud is AI's ability to convincingly replicate human interactions and personal details, which can easily deceive traditional security measures. For instance, an AI-powered attacker could use publicly available information to impersonate a trusted employee, mimicking conversations about personal topics like favorite sports teams or family members to gain trust. This model of verification worked in the past, but with current levels of fraud sophistication, it means that probabilistic methods, which rely on likelihoods and patterns, are no longer sufficient. Instead, deterministic approaches, such as cryptographic keys and direct authentication linked to immutable data points (like phone numbers), are more essential than ever to counteract these advanced threats.
Critical security functions should be separated from everyday communications. To protect his data, Rodger uses a dedicated phone number solely for two-factor authentication (2FA). This number is not associated with his primary phone, thus reducing the risk of SIM swapping and other forms of identity theft. Additionally, by using a carrier without a call center, he further minimizes the avenues through which attackers can manipulate or hijack his phone number. The fact that he even needs to do this, only highlights the need for better security measures systemwide, as the reliance on SMS-based 2FA is vulnerable to exploitation.
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