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Incode launches GovFaceMatch, the first solution to match biometrics against US government records. Setting a new standard in identity verification, GovFaceMatch(TM) removes the tradeoff between conversion and fraud with 6x faster onboarding and 150x better fraud prevention SAN FRANCISCO-(BUSINESS WIRE)-Incode Technologies, Inc., a global leader in AI-powered identity security and fraud prevention, today announced the broad availability of GovFaceMatch, a solution that confirms identity against state Department of Motor Vehicles (DMV) databases in real time. GovFaceMatch is the first in the identity verification market to offer biometric matching of a live selfie against official DMV records, helping organizations grow without sacrificing security. It represents the flagship offering within GovMatch(TM), Incode's suite of solutions for image-based and data-based verification against government records. Synthetic and stolen identity fraud has become one of the most damaging unresolved challenges facing U.S. businesses, exposing the limitations of traditional identity verification - a threat now accelerating as agentic AI makes it faster and cheaper to fabricate convincing identities. When fraudsters combine real stolen data, AI-generated documents, and their own photos to bypass existing checks, businesses are left absorbing fraud losses, higher operational costs, and unnecessary friction for legitimate users. "99.9% of the fraudulent identities that slip through data-only checks today are stopped cold by GovFaceMatch," said Ricardo Amper, Founder and CEO of Incode. "For decades, the identity verification industry has operated on probabilistic signals - not because it was the right answer, but because there was nothing better. As fraud becomes an autonomous, machine-speed problem, GovFaceMatch gives our industry its first real edge in the fight ahead." The Cost of Synthetic and Stolen Identity Fraud For years, identity verification has forced organizations into an impossible choice: accept more fraud or add more friction. Now, the threat has grown too sophisticated for that tradeoff to continue. Identity data is already widely compromised, with U.S. data breaches reaching an all-time high in 2025. An estimated $3.3 billion was lost to synthetic identity fraud in 2024, and losses are expected to surpass $20 billion by 2030. Fully functioning synthetic and fake identities can now be built in just a few minutes, for as little as $15. The industry's response has been to add more layers - document authenticity, additional data checks, one-time verification codes. Yet sophisticated fraud still passes, while 40% of legitimate users abandon document-based verification. The very friction meant to make verification stronger is driving away the real customers businesses are trying to protect. GovFaceMatch was built to close this critical gap. "Identity is the foundation of trust in nearly every transaction that matters, from opening a bank account to accessing healthcare. As the agency responsible for issuing that identity credential, we have a duty to help get it right," said Commissioner Angelique B. McClendon, Georgia Department of Driver Services. "By working with Incode, we're enabling private-sector partners to rely on the same trusted records we do, with clear consumer consent at every step. Georgia DDS is proud to be part of a partnership that strengthens the broader identity ecosystem." How It Works GovFaceMatch verifies identity directly against the government record, the one source of truth no fraudster can fabricate. The solution performs a one-to-one biometric comparison of a user's selfie against the photo in a participating state DMV database, cross-checks the user's personal information against the DMV's identity record, and returns a simple match result. With a two-step process consisting of an ID barcode scan and a selfie capture, GovFaceMatch provides a user experience that takes an average of 10 seconds and drives 20% better conversion compared to traditional document-based verification. By going to the government source, GovFaceMatch also delivers 1000x fewer false acceptances than traditional data-only checks and 150x fewer than document-based verification. The solution is backed by the full reach of the GovMatch suite, which combines image-based and data-based verification to cover 95%+ of the U.S. population. Privacy by Design GovFaceMatch is architected with privacy built in. All biometric matching is performed within the DMV environment, and Incode never receives or stores the biometric data or database portrait from the DMV. The solution operates within each participating state's legal and data retention requirements and requires explicit consumer consent; facial biometrics can be deleted immediately following verification. Preparing Organizations for the Agentic Fraud Era Incode's Agentic Fraud(TM) Report - an analysis of 66 independently sourced U.S. AI-fraud cases against official FBI and FTC loss data - documents where this is already heading: increasingly autonomous AI agents generating convincing identities, documents, and deepfakes at machine speed and scale. Of the $20.9 billion in fraud losses reported to the FBI in 2025, $893 million was already tagged as AI-enabled. Verification that judges whether an image or document looks authentic will keep losing ground to these attacks. Confirming the right, real person against the government record will not, and this is how GovFaceMatch defends against today's fraud while future-proofing organizations against the Agentic Fraud era ahead. About Incode Technologies Incode is the global leader in trust and identity. With its mission to power a world of trust at the speed of AI, Incode works with eight of the top ten U.S. banks, seven of the top eight global telecom providers, and many of the world's largest fintechs, technology companies, marketplaces, and governments. The platform has processed over four billion identity checks globally and has been recognized in Gartner's Magic Quadrant for Identity Verification. Incode is headquartered in San Francisco and has offices across Europe and Latin America. August 4th, 2026 August 3rd, 2026

Incode named a Leader in the 2026 Gartner(R) Magic Quadrant(TM) for Identity Verification for the third consecutive year | Incode. Incode Jul 31, 2026 Incode is proud to share that Incode has once again been recognized as a Leader in the 2026 Gartner(R) Magic Quadrant(TM) for Identity Verification. This marks the third consecutive year that Incode has been positioned as a Leader. Incode has been named a Leader in every Magic Quadrant(TM) for Identity Verification published since the first report in 2024. Incode believe this recognition reflects the strength of the trust infrastructure Incode has built for the enterprise: identity that is continuous rather than a one-time checkpoint, following the user from signup through every session after and getting smarter with every interaction, so trust deepens while friction fades. That holds whether the user is a customer, a business, an employee, or an AI agent acting on someone's behalf. The 2026 Gartner(R) Magic Quadrant(TM) for Identity Verification evaluated 12 vendors in the identity verification market. Its key takeaways. * Three consecutive years as a Leader. Incode has been named a Leader in every Gartner(R) Magic Quadrant(TM) for Identity Verification published to date. Incode believe this reflects sustained execution and a clear vision in a fast-moving market. * Trust infrastructure for every interaction. Identity verification used to be a one-time checkpoint at the door. Today it's the layer enterprises run on, from signup through every session after. And it compounds: every verification makes the next one smarter, so trusted users feel less friction over time, not more. * A market being reshaped by AI. Identity fraud is growing more sophisticated. Deepfakes, synthetic identities, AI-generated attacks, and emerging agentic fraud carried out by autonomous AI agents are driving demand for identity verification that is secure and seamless at scale. "A Magic Quadrant provides a graphical competitive positioning of four types of technology providers, in markets where growth is high and provider differentiation is distinct: Leaders, Visionaries, Niche Players and Challengers." Source: Gartner Each vendor is evaluated on two axes: Ability to Execute and Completeness of Vision. Based on these evaluations, vendors are placed into one of four categories: * Leaders execute well against their current vision and are well positioned for tomorrow. * Visionaries understand where the market is going or have a vision for changing market rules, but do not yet execute well. * Niche Players focus successfully on a small segment, or are unfocused and do not out-innovate or outperform others. * Challengers execute well today or may dominate a large segment, but do not demonstrate an understanding of market direction. Incode feel that Incode's placement in the Leaders quadrant underscores its ability to balance market-leading innovation with the scale and reliability enterprises demand. Why this recognition matters. "Use a Gartner Magic Quadrant as a first step to understanding the technology providers you might consider for a specific investment opportunity. A Gartner Magic Quadrant is a culmination of research in a specific market, giving you a wide-angle view of the relative positions of the market's competitors." Source: Gartner To Incode, being recognized as a Leader means more than a position on a quadrant. It reflects the ability to deliver comprehensive trust infrastructure, to drive real customer impact at scale, and to keep pushing the market forward through innovation as the identity landscape changes rapidly. Identity Verification is entering a new era. Identity fraud is becoming more sophisticated than ever, and organizations today face challenges such as: * AI-generated fraud and deepfakes * Agentic fraud, in which autonomous AI agents probe and attack onboarding flows at machine speed * Synthetic identity attacks * Increasing digital onboarding volumes * Rising customer expectations for frictionless experiences * Expanding global compliance requirements * More complex fraud tactics targeting digital businesses As these challenges evolve, organizations are looking beyond traditional document verification and investing in the trust infrastructure that reduces fraud while delivering trusted customer experiences. Understanding how the market is evolving is essential for selecting the right long-term technology partner. Looking ahead. For Incode, continued recognition as a Leader is a responsibility. As identity threats evolve, Incode will continue to: * Innovate with AI-driven fraud prevention and next-generation biometric verification. * Scale globally to meet the growing demand for secure, seamless identity verification. * Empower organizations across industries to build trust with their customers, employees, and partners. Identity verification is about enabling trust at every interaction. Let's build trust together. Incode feel being named a Leader for the third consecutive year reflects both a strong platform and a sustained commitment to innovation and customer outcomes. Incode's trust infrastructure helps organizations verify identities, prevent fraud, and deliver seamless experiences at scale. Here is what Incode believe continues to set Incode apart: * Continuous trust across every interaction. Verification doesn't end at signup. Confidence in each user builds session after session, and the trust network flags repeat fraud and recognizes trusted history, without pooling raw data. * Verification anchored to authoritative sources. Incode verifies people against the government's own records, not just the document. * Built for the agentic fraud era. Defenses designed and tested against deepfakes, synthetic identities, and autonomous AI-driven attacks that adapt after every rejection. * Security without friction. More precise verification means less manual review, so fewer good users get stopped by extra checks. * Global scale that supports organizations across industries and markets. Gartner Magic Quadrant faqs. 1. What is the Gartner(R) Magic Quadrant(TM) for Identity Verification? The Gartner(R) Magic Quadrant(TM) is an annual research report that evaluates identity verification vendors on two axes, Ability to Execute and Completeness of Vision. 2. Who should download this report? The report is intended for organizations evaluating identity verification providers, comparing vendors, or planning future investments in fraud prevention and digital identity technologies. 3. Why is identity verification important? Identity verification helps organizations establish trust with legitimate users, reduce fraud, meet regulatory requirements, and deliver secure digital experiences. 4. What trends are shaping the identity verification market? Organizations are increasingly addressing AI-generated fraud, synthetic identities, deepfake and agentic attacks, evolving compliance requirements, and growing customer expectations for seamless digital experiences. 5. How can I access the report? Download a complimentary copy of the Gartner Report by filling out the form above or click here. 6. Why should I use the Gartner(R) Magic Quadrant(TM) as part of my evaluation? The report provides independent market research that can help organizations better understand the competitive landscape and support informed technology decisions. Gartner disclaimers. Gartner, Magic Quadrant for Identity Verification, By Nayara Sangiorgio, Akif Khan, Zachary Smith, 28 July 2026. Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner's business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose. Gartner and Magic Quadrant are trademarks of Gartner, Inc., and/or its affiliates. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from incode.com/gartner-magic-quadrant.

New Incode age estimation tool processes biometrics on-device. FAE appealing to organizations wary of public concerns over biometric collection Prompted by the introduction of online safety regulations globally, Incode has released an on-device age estimation product. An announcement from the company says the tool performs all facial analysis on the user's device, with "no biometric data, raw or processed, sent to Incode, a client server, or anywhere else." The primary selling point of facial age estimation (FAE) is that it does not, at any point, require a user to share a date of birth (as age verification does). Nor does it collect and store any biometric data. According to Chris Allgrove, CTO of Ingenium Biometrics Laboratory, biometric FAE tends to use deep learning algorithms to assess visual ageing indicators like skin texture, face shape and structural ratios. It is a real-time biometric technology that only angages with the user when it is analyzing their face to estimate age. As such, it has proven popular as an age assurance method for lower risk scenarios, or as an initial check in a step-up age assurance stack. However, it typically comes with a confidence range, meaning the tech needs to be configured to factor in buffer ages. Three-layered process includes metadata analysis. Incode's tool provides a binary result: "pass or fail, based on the platform's configured age threshold." But the age assurance process itself has three layers. Incode's FAE is a "compact model that preserves the accuracy of the server baseline without biometric transmission." The company says that in testing, it has achieved as low as 1.08 years MAE (mean absolute error, a continuous measure of estimation error) for the strictest age groups. Security concerns necessitate liveness detection and injection attack detection (IAD); per the company's post, "keeping the face on-device doesn't eliminate the need to verify that a real, live person is present." But for IAD, the company analyzes metadata on its server - meaning that, while all biometric processing is done on-device, some data still runs server-side. Finally, the system cascades as needed. "When a use case calls for a higher assurance level, due to risk profile, regulatory requirement, or borderline confidence near an age threshold, the system automatically steps the user up to other Incode age check methods, or any other route the customer decides, without interrupting the user experience," Incode says. For users, the process just looks like taking a selfie, with automatic capture once optimal positioning and lighting conditions are achieved. In unstable trust environment, even true claims can be volatile. Incode's pitch stresses the urgency of finding trusted age assurance methods as regulations take hold in the UK, EU, Australia, and increasingly in the U.S. "More than 32 age assurance laws are in force globally, with requirements expanding into social media, online gaming, and AI platforms. Facial age estimation has emerged as one of the most preferred compliance mechanisms: no government ID required, no external databases, and the only viable option for users who don't have traditional identification." It also names "negative attitudes toward biometric collection" as a driver of the FAE market. In doing so, the pitch also nicely illustrates the delicacy of selling a biometric product to an ever more privacy-conscious public. The tagline is that Incode's FAE does all biometric processing on-device. Server-side processing only addresses metadata - but that technicality may not matter to those seeking an opportunity to paint biometrics providers as secret hoarders of user data. There is no lack of transparency in Incode's product announcement: it clearly states that "we analyze metadata on our server to prevent injection attacks and tampering of the results." Rather, the issue is in the tension between promoting the product and full transparency. Claims that AI software tools are completely privacy preserving inevitably invite challenges. While these may be spurious - see the recent case of Yoti defending its integrity against U.S. researchers - they can do reputational damage, and fast. There is no obvious answer to the question of how to weigh promotional zeal with the need to build a stable public trust ecosystem in biometric tools in general. But in the biometrics industry, where trust is the most valuable currency, it matters more than in most. Article topics. Latest biometrics news. Jul 13, 2026, 5:21 pm EDT NEC has signed a memorandum of understanding (MoU) with blockchain firm Ava Labs, to "promote the consideration of next-generation on-chain... 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