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Podcast: How an anti-fraud startup fights deepfake fraud


Monetary establishments wish to deepfake detection options of their combat in opposition to the rising risk of generative AI-driven fraud. 

The rising deepfake detection market is anticipated to be a $15.7 billion business by 2026, in accordance with consultancy agency Deloitte. 

AI voice fraud detection startup Herd Safety is one tech supplier that banks are channeling to scale back focused assaults in opposition to their organizations and purchasers, Brandon Min, co-founder and chief government of Herd Safety, tells Financial institution Automation Information on this episode of the “The Buzz” podcast.  

Herd Safety, launched in 2023 by Min and his co-founder and chief know-how officer Greg Bates, “can detect the presence of AI on any stay name or earlier audio-based recording with lower than 10 seconds of audio,” Min says.  

Herd Safety will display its know-how at Financial institution Automation Summit 2025 in Nashville, Tenn., on March 3. 

Take heed to this episode of “The Buzz” podcast as Min discusses how banks can layer in deepfake detection instruments to scale back fraud.  

Register right here for Financial institution Automation Summit 2025, going down March 3-4 in Nashville, Tenn. View the total occasion agenda right here.  

The next is a transcript generated by AI know-how that has been frivolously edited however nonetheless incorporates errors.

Whitney McDonald 12:42:15
Whitney, howdy and welcome to The Buzz a financial institution automation information podcast. My title is Whitney McDonald and I’m the editor of financial institution automation Information. At present is February 6, 2025 Becoming a member of me is Brandon min, co founder and CEO of startup herd safety. He’s right here to debate how herd securities know-how is utilizing AI to determine and combat voice primarily based fraud at monetary establishments heard safety will demo their know-how in March in Nashville at Financial institution automation summit 2025 go to financial institution automation summit.com for extra details about the summit and the demo problem. Thanks for becoming a member of us. Brandon,Brandon Min 12:42:52
yeah, in fact. And thanks once more for having us. Whitney, yeah. My title is Brandon min. I’m the co founder and CEO of herd safety. My background begins about eight years in the past I jumped into the cybersecurity world. I’d say the most important firm I used to be part of that was a startup. Was an organization referred to as Duo Safety that specialised in multi issue authentication. Was a part of the journey of that firm into getting acquired as a part of Cisco now right now, and from there, I had actually gotten a way of how organizations deal with their customers by way of their person primarily based safety. And what I imply by that’s, how effectively do customers perceive cyber safety and greatest practices in addition to what their function is by way of defending the group as a complete? And that all the time caught with me. In fact, multi issue authentication is a really in a way, a private factor, as a result of it’s on everyone’s cellphone, and from there, it my time at duo sort of formed the concepts of constructing cyber safety primarily based instruments which might be centered on person both consciousness or safety general from that standpoint, so quick ahead a couple of years, as a result of it’s All blur previous the pandemic and all the things actually and I we began heard safety in late 2023 being closely centered on entering into person particular safety. That led us into this portion of AI generated content material and deep pretend primarily based safety. Nice.Whitney McDonald 12:44:33
Properly, thanks once more for being right here, and let’s take {that a} step additional. Why don’t you inform us a bit bit extra about herd safety? Um, sort of give me a bit little bit of perception into what precisely you’re fixing for.Brandon Min 12:44:45
Yeah, yeah. And, however earlier than I bounce into it, I’ll, I’ll set the bottom later context of I’ll be speaking and utilizing the phrase social engineering lots, so I feel it’s a standard phrase, however simply so everybody’s on that very same web page. Social engineering is any kind of assault in opposition to a group that targets customers. So the most typical is a a pretend phishing e-mail, one thing to get any person to surrender, one thing with a purpose to for an attacker to achieve entry into a corporation. Sometimes, that’s a account phrase, password these days, multi issue authentication credentials, and so on. So I’ll be utilizing that phrase fairly a bit, however particularly heard safety helps banks fight voice primarily based social engineering assaults to primarily forestall wire fraud and account takeover, and this concept and drawback has been shaping, in fact, as generative. AI has develop into such an enormous, highly effective software and problem. Don’t wish to fully knock it by saying it’s a problem, but it surely’s a it’s introduced points to many alternative organizations that we that we work with, throughout the board and historically, as I stated, social engineering has been centered on, very generally round e-mail primarily based safety and phishing emails. I’m positive virtually everybody has both seen a extremely poorly written phishing e-mail or has been tricked by a possibly and even an inner phishing consciousness marketing campaign and clicked on it and gotten enrolled into some additional safety consciousness coaching I’ve as effectively. It’s has occurred to me as soon as in my life. I’m not proud to say that, however that’s true. However with particularly with the brand new know-how and generative AI, we’re seeing the power to create a subsequent degree base of content material throughout the board for social engineering, and that features extra in depth emails in generative AI textual content and producing artificial Voice, constructing AI brokers that may mass produce wider assaults and replicate assaults at a sooner charge, in order that one hacker in a in a basement, someplace in the midst of nowhere, is definitely capable of go after very massive enterprises throughout the board now, due to the repeatability that AI presents to itself, however. So in fact, there’s a myriad of various instruments, each paid and open supply, now available on the market, and that permits for fraud to actually be all over the place and generated from anyone. And I consider it’s as a lot as AI has leveled the taking part in subject for on a regular basis staff or on a regular basis staff, simply by way of getting sure duties executed, and so on. It additionally has leveled the taking part in subject for hackers to have the ability to produce very subtle assaults throughout the board. In order that received us into actually specializing in this subsequent degree of voice primarily based particular social engineering assaults. And the most typical instance is getting a cellphone name that’s somebody impersonating a both an individual or an account or a buyer, and making an attempt to take financial institution info so as or provoke a wire fraud or beat voice verification primarily based platforms, these are usually among the most typical that we see.

Whitney McDonald 12:48:20
Yeah, a few issues to interrupt down there, in fact, with generative AI, one of many issues that you just talked about is, is the size. , you’re not only one hacker such as you talked about in a basement that may, , do one scheme and transfer alongside, however you may actually go after these bigger enterprises with this subtle know-how that’s, , proper at everyone’s fingertips. So possibly you would speak by means of a bit bit about what the conversations appear like when banks method heard, what are they making an attempt to resolve for? What are they seeing? What are the issues that they’re coming to you with that? Hey, I’ve this problem time and again. How will we eradicate that, or look ahead to that, or monitor that? , extra of a proactive than reactive take at fraud? Perhaps you may speak us by means of what these conversations with financial institution purchasers appear like. Yeah,

Brandon Min 12:49:09
completely. I feel it’s it’s primarily been centered on two units of several types of banks, and I’d say, we’ve come throughout groups which might be very proactive about this drawback, have examine within the information and perceive that it will develop into an enormous drawback, I’ll say, not simply in banking, in each business. Sadly, any sort of cybersecurity risk is usually a reactive method for many organizations, not proactive. However I within the proactive primarily based conversations, many banks that come to us have primarily stated that they’ve gotten complaints from their buyer base that individuals have referred to as them, impersonating the financial institution, or they’ve truly had small companies get taken over and attempt to provoke particular these hackers try to provoke particular wire primarily based fraud in opposition to the financial institution, impersonating a selected hacker. And I’d prefer to take {that a} step additional and say the how these assaults look are actually in two totally different fashions. Is one is the utilization of artificial voice with AI to primarily impersonate a selected particular person’s voice. So I may take your voice, or any person may take my voice from this podcast now and primarily use that with about actually you’ll have to pattern about 5 to 10 seconds and be capable of instantly impersonate somebody’s voice and stay transpose that onto a name. So let’s put ourselves in a, , from an inner standpoint, I’m the CEO of a, , Financial institution A, and CFO of financial institution, a calls me, and it sounds identical to him. They had been having a dialog. It sounds very a lot about, , hey, we have to wire some cash to a selected vendor, , whether or not, no matter kind of dialog that’s, and it sounds identical to the person who we’re speaking to. And so among the unique banks that got here in touch with us, we’re truly listening to that we’re truly group sized banks the place tellers had been getting impersonated and speaking to enterprise primarily based clients of their of their buyer base, and so they had been recognizing the voice of the teller, regardless that they didn’t know essentially that particular person by title, and so on, that they had an understanding of, I’ve heard this voice earlier than. I belief this voice, and so they had been gifting away very essential account info. And what these hackers had been doing was then turning that again to the group financial institution and impersonating the client again and making an attempt to provoke a wire fraud, and so on. , in fact, some have fallen for it. Some haven’t. And it’s it may be very highly effective by way of how that appears and the numbers. In fact, on the rising aspect, I consider it’s over 700% of deep pretend primarily based assaults have gone up in 2023 2024 numbers are nonetheless popping out, and that’s. Sense. However we estimate these to be even larger, and particularly in opposition to monetary establishments, as a result of it’s so usually two areas. Is one which they’ve quite simple to contact contact facilities or some kind of approach to get entry to voice communication. And two, it is extremely easy to maneuver cash in these organizations, as a result of they’re transferring cash probably the most in that sense. So general, that’s sort of the primary space on this AI generated artificial aspect, and the second aspect is simply common voice fraud. So there are some banks which might be so massive that we’ve talked to the place you wouldn’t know your Teller’s voice or title, essentially, they may very well be utilizing AI to hackers. May very well be utilizing AI to really copy particular tone or match sure accents in sure components of the US. So we had a selected financial institution that was getting attacked from someplace within the Center East, and people customers, or I’m sorry, these hackers, had been impersonating southern primarily based accents, as a result of this was someplace within the deep south, et cetera. And naturally, that’s very accessible now, but it surely’s nonetheless a special type of AI primarily based assault. However we’re additionally ready for the forms of assaults that don’t use AI both. So that they have had been pushing for bank card primarily based info, pushing for account primarily based info, and so on, and we’re capable of truly assist organizations nonetheless construct danger profiles round how we’ll say pushy a hacker may very well be versus a buyer in that sense.

Whitney McDonald 12:53:56
Now possibly we may, then again, speak a bit bit about, , the how do you, ? How does heard combat this? How do you monitor for this? Clearly, the examples that you just’ve been giving are, I imply, it’s a classy method. Such as you stated, you don’t want that a lot of an audio chew to get that , trusted voice that , or , have one thing that’s recognizable and on each side, such as you talked about, it may very well be a CFO, or it may very well be the consumer aspect as effectively. How does the know-how behind heard work? What are you monitoring for? Speak us by means of the tech. How does a financial institution leverage the tech? Get us by means of the how? Yeah, completely.

Brandon Min 12:54:36
Properly, I’ll cease. I’ll begin by the core of the tech, which is absolutely our detection primarily based engine. And so in that sense, at a face worth, we’re capable of detect the presence of AI on any stay name or earlier audio primarily based recording with lower than about 10 seconds of audio. And the important thing right here is that we will do that with none baseline coaching. So there’s a variety of instruments on the market that will come to a financial institution and say, Hey, we now have to work with you for about possibly a month or two to ascertain some kind of voice coaching for our AI to ensure that it to start working. That goes out the window with our product, we truly can implement inside half-hour and be capable of start working instantly, in that sense. And in order that’s one of many proprietary and actually benefits, parts, advantageous parts of our product, excuse me, which might be you’re not likely getting a lot downtime there integrations with our and usually, what we’ve executed is as a part of that core tech, we needed to have the ability to permit banks to combine this with any kind of voice communication that they do, or any sort of voice communication that they’re apprehensive about sooner or later as effectively. So mostly, we’re seeing it with Void primarily based techniques, Cisco finesse, AWS join, and so on, the place we will instantly combine our know-how into inbound primarily based name facilities or contact facilities, buyer help traces, no matter you’d prefer to name it, and be capable of produce a rating of AI primarily based danger throughout the first 10 seconds of any name. And the great thing about that is we don’t want to a few various things. Is one, we don’t want to vary the contact Middle’s stream. We simply added into a part of the dialog, they will proceed to undergo the identical verification primarily based processes that they already do, however they’re including this additional fast layer of is there AI presence on this name or not instantly? And say that rating is comparatively excessive, let’s say 98% 95% and so on. The financial institution can select what they wish to do after that. I don’t we now have a financial institution we work with particularly the place they I’m not going to offer away their actual course of, however let’s say they’ve a 5 step course of with a purpose to do verification. So what they had been capable of do is add the. Portion in to check for AI presence with out truly having to vary that 5 step course of. So on the client aspect, they don’t see any distinction, and on the caller aspect, the timing remains to be the identical, since you don’t want to attend for any kind of verification. You simply undergo your stream, get the particular person speaking, and we’ll give that response. After which what they’ve instructed individuals to do is, what if it’s over 80 90% on the decision, particularly, they really undergo one other set of verification steps. And if it’s 100% they are saying it is advisable to both name again or go to certainly one of our branches, and so on. So we’re very Our motto is we don’t wish to mess with the stream of a contact middle. We wish to give simply be part of it with a purpose to defend the general security with out ruining anybody’s each day, or inflicting a variety of change administration in that sense. In order that’s the primary approach. After which the second approach is, which is one thing very distinctive to us is we now have constructed methods to guard cell primarily based units as effectively, so iOS and Android throughout the board. And with that, that’s what helps with the interior primarily based conversations a bit extra the CEO CFO and executives that want safety from one of these from one of these fraud. And never solely will we develop detection primarily based know-how for them to guard themselves, in order that CEO can detect if CFO is any person’s utilizing CFOs voice as AI, we are also constructing instruments to permit for CEO CFOs, and so on, to guard their very own voice. If they are saying, don’t acknowledge a quantity, they will truly activate an artificial voice for themselves with a purpose to vet the decision as they’re beginning it earlier than they so their voice can’t be stolen in that sense as effectively. So we’re making an attempt to construct as many preventative measures there as potential. However usually, most accounts that we work with are VoIP primarily based techniques, cell units for these two use circumstances. After which we’re ultimately transferring into video conferencing, like right here, like we’ve, like, talked about from the audio primarily based aspect as effectively.

Whitney McDonald 12:59:27
Yeah. So appears like there’s undoubtedly, , developments being made as effectively. , totally different iterations rising as because the fraudsters sustain, , making an attempt to maintain up with the fraudsters simply as a lot as you may sustain with already. What’s in motion right now. Now, actually shortly. I additionally needed to say that you’ll be doing a stay demo at our upcoming summit, the financial institution automation Summit, in Nashville, with out giving an excessive amount of away. And I do know that you just simply talked by means of, clearly, the necessity, how the product works, all that great things. Perhaps you may share a bit bit about what attendees can anticipate out of your stay demo. What’s going to they see?

Brandon Min 13:00:04
Yeah, yeah. Properly, I imply, actually all the way down to the fundamentals. Is all the things I simply talked about in that sense, as a result of it may be proven in just a few minutes. And that’s the actually, the great thing about it as effectively, is we’re, in fact, not going to indicate a full implementation in that sense, however that’d be one thing, yeah, that will be one thing we’re not till AI may do this for us. I don’t know if we’re that good but, however we we’d see it within the sense of, we now have a we’ll use a VoIP primarily based system. We’ll run a name from actually a perspective of each side that I talked about, AI primarily based voice and non AI primarily based, boy primarily based voice, excuse me, and with the ability to make the most of that in several methods to indicate several types of voice primarily based assaults. And I feel the principle factor I need any of our viewers to remove isn’t just what our resolution can do, however actually understanding the depths of this drawback as a result of it’s AI, remains to be one thing that we’re all getting used to. It’s nonetheless one thing that companies are hopefully constructing methods to construct proactively into streamlining their enterprise or getting extra environment friendly, and so on, which I’m assuming, that’s why they’re at locations like this convention. However on the finish of the day, they’re constructing consciousness round voice primarily based social engineering and simply how highly effective it may be would be the principal aim right here. So I not solely wish to present how simple it’s to construct a classy assault, which is what I’ll do, by actually exhibiting a few of my old style moral hacker primarily based abilities additional I did solely good, good man hacking for for the document and and actually constructing a principally, I’d, I wish to present how a hacker can put one thing collectively in lower than two or three minutes, after which how subtle that may look with out our product, after which how our product is definitely capable of catch this throughout the board. So yeah, excited to indicate it. And hopefully. Hey, hopefully I nonetheless keep in mind a few of my safety analysts within the risk primarily based abilities.

Whitney McDonald 13:02:22
You’ve been listening to the thrill a financial institution automation information podcast. Please comply with us on LinkedIn, and as a reminder, you may charge this podcast in your platform of selection. Thanks to your time, and make sure to go to us at Financial institution automation information.com for extra automation information you.

Transcribed by https://otter.ai



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