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Rodger Desai

FintechTalks · 2026-03-02 · 15 min

0:00--:--

Key moments - from our scoring

Substance score

52 / 100

Five dimensions, 20 points each

Insight Density11 / 20
Originality10 / 20
Guest Caliber14 / 20
Specificity & Evidence9 / 20
Conversational Craft8 / 20

Roger Desai built Prove Identity on an unconventional insight: phones already solve the identity problem at scale through cryptographic authentication. Rather than starting from traditional banking compliance backgrounds, Desai's team recognized that mobile networks globally provide the rare combination of convenience, security, and privacy - something web-based systems struggle to achieve. Prove's core innovation is the identity token, which binds a national ID to a phone's cryptographic keys, enabling instant authentication during account opening, payments, and other transactions without manual data entry. This approach unifies verification (confirming data accuracy) with authentication (proving possession of the phone itself), raising the bar against fraud while improving user experience. The company now serves 19 of the top 20 US banks and 2,000 institutions overall, with non-banking revenue now exceeding banking revenue. Desai emphasizes that banks need explainable decisions for compliance, while other operators prioritize speed and accuracy. Looking ahead, Prove is building capabilities to distinguish humans from bots - both malicious and benign - in an era where fraud rings can cheaply provision millions of IoT SIMs to create fake accounts. The company's insight into phone tenure and behavioral patterns gives it advantages competitors lack.

Key takeaways

  • →Prove's identity token architecture binds a national ID to phone cryptographic keys, making fraud require physical phone possession during transaction, raising the attack bar while improving convenience.
  • →The company now serves 19 of the top 20 US banks and operates across 60-80 countries, with non-banking revenue exceeding banking revenue as identity authentication expands beyond account opening.
  • →AI and cheap IoT SIMs have dramatically lowered fraud costs - fraud rings can now provision 2 million SIMs at pennies monthly to create fake accounts and SMS pumping schemes at scale.
  • →Prove distinguishes itself through network-level visibility into phone tenure and behavioral activity that malicious agents lack, enabling detection of bad bots versus legitimate user-delegated bots.
  • →Identity infrastructure will become core to emerging use cases like tokenized assets and cross-border transactions that don't yet exist, requiring sub-millisecond latency and minimal cost per authentication.

Guests

Roger Desai

Topics in this episode

KYC (Know Your Customer)Tokenized assetsBot detectionProve IdentityIdentity tokensPhone-based authenticationMobile SIM cryptographic keysFraud rings and IoT SIMsAgent commerceAI-driven threats

Questions this episode answers

How does Prove Identity's phone-based authentication work compared to traditional KYC document scanning?

Prove binds a national ID to a phone's cryptographic SIM keys, allowing authentication by proving possession of the phone itself during transactions. This unifies verification and authentication in a single step, making it impossible to commit fraud without the physical phone, whereas traditional document scanning only verifies data accuracy without confirming who's actually performing the transaction.

What are the major differences between how Prove serves banks versus non-banking marketplaces?

Banks require detailed data and explainable decisions to satisfy fair lending laws and compliance; Prove provides comprehensive data to support these requirements. Non-bank operators prioritize speed and outcomes over explanations, so Prove owns the final decision, separating the world into 'builders' (banks) and 'operators' (marketplaces).

How is Prove detecting fraudulent bots and AI agents in identity transactions?

Prove uses network-level visibility into phone tenure and behavioral history that malicious agents cannot replicate across millions of SIMs; even fraud rings buying cheap IoT SIMs must use phones with genuine history for legitimate purposes, creating a behavioral signal that distinguishes bad bots from humans or legitimate user-delegated agents.

What are IoT SIM-based fraud schemes and how are they changing identity risk?

Fraud rings now buy millions of IoT SIMs at pennies per month, provision them over the air, and use them to create fake accounts and SMS pumping schemes at massive scale. This has dramatically lowered the cost of large-scale attacks, making bot proliferation a major emerging threat that identity infrastructure must address.

What does Prove mean by tokenized assets and borderless identity infrastructure?

As assets like real estate become fractionalized and tradeable globally (similar to how Uber and Airbnb exposed hidden supply), identity authentication will be needed for transactions that don't yet exist and between parties who cannot meet in person, requiring core infrastructure capable of sub-millisecond verification across borders.

What our scoring noted

Our reviewer’s read on each dimension, with quotes from the episode.

Insight Density

11 / 20

The episode contains some substantive technical insights about phone-based authentication, SIM card cryptography, and the distinction between verification and authentication in KYC processes. However, much of the content is conversational filler, personal anecdotes (engineer background, mother's ultimatum), and generic networking advice that doesn't advance practical operator knowledge. The fraud/bot discussion touches on real tactics (IoT SIMs, SMS pumping) but remains largely surface-level without specific data on impact or remediation.

we didn't come from kind of the traditional places that, um, try, uh, to do KYC and those type of compliance processes. Uh, instead, we came from a background of knowing how phones work.
there's still the phone I call my mother with, and that's going to have the rich tenure activity that we see in our system

Originality

10 / 20

The core insight - using phone cryptography and SIM authentication as a superior alternative to document scanning or OTP-based KYC - is differentiated but presented without novel angles or contrarian framing. The distinction between verification and authentication, while valid, is relatively straightforward. Discussion of good bots vs. bad bots lacks fresh frameworks or counterintuitive takes; it mostly restates obvious categorization. Most claims align with fintech industry consensus.

In our model, we think, we thought that verification and authentication should be unified.
everyone thought the future of identity was scanning a passport or a driver's license and getting an otp. Um, but our view that was neither convenient or secure

Guest Caliber

14 / 20

Roger Desai is CEO of Prove Identity, a legitimate identity infrastructure company used by 19 of the top 20 US banks and 2,000 banks overall, making him a credible operator at scale. However, the episode reads more like a friendly founder interview than a deep practitioner dive. His background building early telecom (Airtel Spain) is relevant but dated. He has built and scaled a real business but doesn't position himself as a category expert offering rare operational wisdom.

I'm Roger Desai, CEO of Prove Identity.
Today Peru has 19 of the top 20 US banks. We have about 2,000 banks overall.

Specificity & Evidence

9 / 20

The episode includes some specific numbers (19 of top 20 banks, 2,000 banks, 60-80 countries) but lacks concrete data on fraud impact, remediation rates, false positive/negative metrics, or customer outcomes. The fraud discussion mentions IoT SIMs costing 'pennies a month' and fraud rings buying '2 million' but provides no data on actual attack volume, success rates, or financial impact. Most claims remain abstract; Vietnam/Jersey house tokenization example is illustrative but hypothetical rather than evidenced.

Today Peru has 19 of the top 20 US banks. We have about 2,000 banks overall.
it's not unusual for a fraud ring to buy 2 million IOT ESIMs

Conversational Craft

8 / 20

The host asks reasonable setup questions but rarely pushes back, clarifies, or probe deeper on claims. Questions are largely softball and open-ended (e.g., 'can you talk about your background?', 'how have you grown?'). The host misnames the guest as 'Ranjit' at the end despite introducing him as Roger. There is no challenge to vague statements, no follow-up on specific contradictions (e.g., 'non-banking is bigger than banking now' is not explored), and no probing into risks or failure modes. The conversation feels more like a friendly catch-up than a rigorous interview.

Roger. uh, would you mind please, introducing yourself?
Thank you, Ranjit.

Conversation analysis

Computed from the transcript - who did the talking, and the words that came up most.

Share of words spoken

  • Speaker B81%
  • Speaker A19%

Most-used words

phone14bank10identity8account7banks7today6transactions6build6world6bots6trying5startup5market5million5point5gets5

Episode notes

In this episode of FintechTalks, Sanjib Kalita sits down with Rodger Desai, CEO of Prove , to explore how mobile phones became one of the most powerful tools in digital identity. Roger shares Prove’s founding insight: the phone network already solves the tradeoff between security, convenience, and privacy - and that same cryptographic foundation can transform how we verify and authenticate people online. From winning 19 of the top 20 U.S. banks to expanding globally across 80+ countries, Prove has evolved from startup challenger to core identity infrastructure. They also dive into AI-driven fraud, the rise of bots, and why the future of commerce - human and agentic - depends on stronger, tokenized identity.

Full transcript

15 min

Transcribed and scored by The B2B Podcast Index.

Speaker A: Welcome to another episode of FinTech Talks. I'm Sanjeev Khalida, and I'm so excited to have our guest today. Roger. Roger, uh, would you mind please, introducing yourself?

Speaker B: Yes, Sanjeev. I'm Roger Desai, CEO of Prove Identity.

Speaker A: Wonderful. And can you talk a little bit about your background?

Speaker B: Yeah, I've been, um, an entrepreneur for, uh, quite a long time, mostly trying to find new uses for the amazing things our pockets call cell phones. Uh, at pruv, we use the cell phone as a way to authenticate transactions.

Speaker A: Um, I think one commonality that we both have is that we're both, uh, former engineers. We used to, uh, build. Actually build things, uh, like physical things or technical things and, and made that transition. Can you talk a bit about your, you know, what you used to do as an engineer?

Speaker B: Yeah, well, you know, my mother said I had to be either an engineer or a doctor, and I still don't know where my heart is exactly, so I married a doctor instead. Um, you know, engineering was, uh, it does, does teach you a really great way to think about problems and, um, you know, just maybe give you some raw capabilities, um, that, um, in a world that's increasingly technology driven, it gives you kind of a solid foundation. I just didn't want to actually be an engineer. Um, and so as soon as I could find my path out of that, I did.

Speaker A: You know, when we first met, you know, I describe as sort of the early days of prov. And obviously now you've taken that company quite a ways. Talk a little bit about the company and how you started and where you're at now.

Speaker B: Yeah, original insight. Um, so, first of all, we didn't have any background in banking fraud risk. Uh, so we didn't come from kind of the traditional places that, um, try, uh, to do KYC and those type of compliance processes. Uh, instead, we came from a background of knowing how phones work. And I helped build some early phone companies. Uh, one, uh, was called Airtel in Spain, which is now voted for in Spain. And I was always amazed at how amazing phones, uh, are. It's, um, if you think about, like, the experience of using your phone, which we kind of take for granted, you can take your phone anywhere in the world and it immediately works. You don't have to, like, create an account where you go. And because you don't have to, like, assert who you are. Like, they don't ask you when you land in a new country, like, who are you? And how do you want to pay for your calls? Uh, you can't actually lie and pose to someone else. And so we were fascinated by the fact that this is kind of one service, uh, that consumers use where there is like no trade off between convenience, security and even privacy. And if you think about it, most of these transactions when you're traveling are real time cross border transactions because the visitor, you know, the phone company you connect with in the country you visit effectively is a merchant and accepts potentially not, you know, US dollars. So we're like, wow, it's amazing. There's already a system at scale that's uh, PKI based, that is convenient, secure, private, you know, and uh, does crossword transactions all at the same time. And the web isn't like that. Everything on the web is if you want things to be convenient, they may not be as secure as you'd want. And you're constantly fighting that trade off between those factors. The phone kind of does it all. It does that mainly because it's really not about the phone. It's about the fact that there's cryptographic keys like your SIM card. You know, that's really the magic of uh, know, authenticating keys versus verifying, you know, things that people say about themselves.

Speaker A: What did you specifically target?

Speaker B: Yeah. So um, the model we said is, uh, again we try to be inspired by regulators but try to go beyond what they ask for. So today, just with simple process of opening a bank account, that process doesn't involve any authentication. It's basically a verification. So I could say, I'm Sanjib, I live here, you know, here's my national id, my date of birth. And you just have to make sure that data goes together in uh, several authoritative places. Now ah, that was designed at a time when it was considered really, really costly, if not impossible to get Sanjeev's uh, name, address, social date of birth, like where would you get such things? But now because of all the breaches, it's pretty trivial and inexpensive to get those things. So it's very easy to pass KYC checks. In our model, we think, we thought that verification and authentication should be unified. So for example, in our model, if you want to open a bank account, I can authenticate your phone and it can actually just pre fill that data, um, on your behalf, your name, your address, et cetera, with your consent. But the way to think about that is the only way that I can pretend to be Sanjib and apply for the account in his name is if I have his phone in my hand during the transaction. So that makes the bar much higher. But at the Same time it's much more convenient because I'm not typing in anything. So our notion of uh, doing things was we created something called an identity token. An identity token is basically a bind between your national ID and your phone and it allows you to kind of just authenticate your phone and that asserts who you are. Now of course the ability to create these tokens is not trivial because it doesn't come from some source. Uh, and persisting that as people make changes, like people you know obviously get new phones and change phone numbers and um, you know change their name if they get married, like all those things you have to triage all that, all these kind of life cycle events to maintain the accuracy of the token. But effectively we think the world should be tokenized and that way you get some of the benefits. I mentioned earlier, can you talk to

Speaker A: me a little bit about how uh, you've grown proove, you know, from that startup, from the startup days to you know, being where you are now and how, how you might break that up?

Speaker B: Yeah, great question. So Today Peru has 19 of the top 20 US banks. We have about 2,000 banks overall. We do lots of sectors outside of banking. In fact our non banking business is bigger than our banking business now. But the early days was a lot of work kind of getting that product market fit. The approach we have is quite different. Uh back then everyone thought the future of identity was scanning a passport or a driver's license and getting an otp. Um, but our view that was neither convenient or secure and it's um, getting those first few wins especially with large banks was a calling card to the rest of the market.

Speaker A: You know the way you might need to support a large bank versus a marketplace. Are there like major differences or are the needs sort of similar?

Speaker B: You know at one level it's all the same. People want to know is it really sanjib behind the transaction, um, whether you're opening an account, sending a payment, um, or in social media like making a post, uh, there are vast differences though. Banks really need to make sure they can explain their decisions um, for fair lending laws and other compliance measures that they have to adhere to. Whereas folks that aren't under those same obligations, they just want an answer. So in some cases we have to give a lot of data to help them make not just an accurate decision but to explain their decision. Uh for non banks they're really know more about the outcome and we kind of separate the world between builders and operators. So banks to us are uh, are builders where we help them with the outcomes, uh, operators want us to own the outcome.

Speaker A: You know, one of the areas that uh, and this obviously a hot topic right now and probably where the industry is going. You know you're thinking about like agent commerce and you know, AI. Yeah obviously AI and bots and things like that, like uh, you know, working in identity, it seems like it is very much like, you know, you got to keep ahead of the fraudsters and you know, the bad actors and like. So how, how are you doing that

Speaker B: with prove now another great question. I think we're such at an interesting time in you know, in life and industry of just you know, the uh, future uh, that awaits us with AI. Um, and obviously it's kind of an opportunity at a threat. Of course, obviously the attack surface is ah, great, much more uh, exposed because of AI and the cost of doing large scale attacks has dropped so much that there's just going to be a lot more attack. In fact we're seeing the amount of bots that proliferate the web in the digital economy is growing at a phenomenal rate. And these days these bots aren't the traditional ones where they're in some AWS cluster somewhere. Now it's not unusual for a fraud ring to buy 2 million IOT ESIMs, uh, provision them over the air and um, create fake accounts, create SMS pumping schemes, um, and all the scams that uh, consumers are led into they uh, can do that at an amazing cost profile. Some of these IoT sims cost pennies a month. So imagine a million of them, 2 million, 10 million, creating fake accounts and creating the havoc they do at the same time. Bots are potentially good because maybe you uh, told in an LLM to go buy these golf clubs if they hit a certain price point and that essential bot is uh, doing that on your behalf and maybe it tries to execute the contract at three in the morning when you're sleeping when it hits a certain price point. So now you have a world of humans, but increasingly bots that some are very malicious and some are just acting on your behalf. So to delineate all those things is quite important and that's something Pruv has spent uh, several years developing capabilities for. One thing that um, is notable is that we have so much insight into the tenure of your relationship with your phone and your um, authentication keys that um, that most of these agents don't have that tenure and behavioral activity. So if I'm a bad guy with a million EIMs that do bad things, well there's still the phone I call my mother with, and that's going to have the rich tenure activity that we see in our system. So it's really kind of a network view. Uh, and that allows us to delineate, you know, human versus bot and then good bot versus bad bot.

Speaker A: Uh, that's, um. I, I'd imagine that, like, sort of being on the inside, if you will, of, of, you know, observing the bad bots, like, it must. Do you do, do you feel worried at all, like, when you personally shop or, or use, uh, use your bank, uh, apps and things like that?

Speaker B: Well, I think as Americans, we've grown accustomed to, um, that if something bad happens, our bank covers us. So I guess that makes us all sleep well at night. Uh, but there are some new threats. Um, I think Americans have never looked at data privacy more seriously, um, than, uh, than today, with a lot of concerns around surveillance. So I think that, um, I probably worry about that more than I worry about, you know, my bank account being siphoned out. Um, but I think, um, you know, these are the new challenges that await us.

Speaker A: Oh, that, that's a lot to think about. And, uh, I wanted to ask you about your FinTech meetup experience and, you know, what was that like and, you know, what did you get out of it?

Speaker B: Um, well, I remember, um, when fintech Meetup was conceived, I think, during COVID and the idea was so brilliant, um, that, you know, and the idea for, you know, a lot of the things that the founders have done and even in other conferences is it's really just about the people. Right, right. Ultimately, it's about. This is an industry full of people. People like to do business with people they know, that they like, that they can trust. And, uh, that's obviously very hard to do during COVID when we couldn't see each other physically. So it's an amazing event because you get to connect and reconnect, uh, and build bridges into new relationships based on existing ones. Uh, and that's what drives business. I think if you look at how businesses gets done, it gets done with people you trust. Um, and those. Sometimes those relationships are built over decades. So it's an amazing place for us to get together, reconnect m with those who we know and build bridges into new groups of people, um, to continue expanding our business and our partnerships and

Speaker A: any advice you might give to, let's say, either a startup founder trying to build their business and attending some tech meetup, or even a bank trying to, you know, understand what, what's, what's the Lay of the. The new lay of the land.

Speaker B: Um, probably one is, uh, um, you know, show, don't tell. Like if you, you know, if you're a startup founder and you want. Look, we all want to meet the latest and greatest things that are coming out. Um, I think openclaw showed us that things can happen in a matter of days and take over the world. Uh, but the, the demos are, are amazing and that really helped prove in the early days. I wouldn't, I wouldn't. I, uh, wouldn't show a PowerPoint presentation and I wouldn't talk. I would just show them a demo. And I think that really is important, uh, to articulate, you know, uh, your vision. And that can be whether it's a big bank trying to do new things or a startup trying to break into

Speaker A: a big bank, you know, looking ahead at it. And I'm, um, I'm actually glad that we're on video because if I ask this next question, you might like, try to hit me or slap me. But, you know, when we first met, you were an upstart, but you are. I describe it as you're. You're a, you're part of the, uh, you're part of the M mainstream at this point. Is that a fair statement or would you disagree with that?

Speaker B: Uh, for sure. I think that, um, we, you know, we get past product market fit and you get, you know, eventually want to get the point where, like, you're profitable, we're profitable, we've been profitable for quite some time. Then you want to be global. We're global. Some of the brands that, uh, we work with, that are well known, uh, we are working with them 60 countries, going on 80 countries, uh, then ultimately becomes. Can you have that kind of, uh, durability? Every industry, every company gets commoditized. Uh, if you don't continue to have a North Star of where you put your value to us, that North Star has always been around that Rubik's Cube of incredible accuracy, uh, incredible coverage and incredible price point. There's one, uh, mentor that his line was, you, uh, have to be able to do things in milliseconds for millisense. And as you look at the market opportunity for identity, it's not just, uh, the most important things we think of, which is like opening a bank account, making a payment, but it gets into things like signing transactions, um, it gets into, uh, things like tokenized assets. Um, where today Uber and Airbnb showed us that there's all this supply hidden, um, that just wasn't exposed to the market. You can imagine there's, like, someone in Vietnam may want to buy 1/100th of my mother's house in Jersey. And those types of things, as assets get tokenized even beyond payments, like, there's going to be a tremendous need for identity. Um, so I think that, like, um, like, in. In one sense, uh, we've come a long way, and I think we're quite well known among the banks and fintechs and gaming companies and digital marketplaces. But. But identity has to be something that's core infrastructure. Uh, that's what we intend to be. And that's for, you know, transactions we haven't even thought of yet. Companies that don't even exist yet, as the global marketplace becomes truly, um, borderless.

Speaker A: That's amazing. And once, uh, again, um, thank you for joining us today, and I'm glad that, uh, we've been friends for so many years and, uh, look forward to meeting up again soon in life, in person.

Speaker B: Yeah. All right. Sanjeev, this was great. Thank you so much.

Speaker A: Thank you, Ranjit.

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