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Incode provides an identity verification and authentication platform that helps businesses separate real users from fraudulent ones. It combines AI-powered automation, deterministic identity checks, and deepfake detection to deliver quick, low-friction verifications for customers and ongoing auth. The Verify product handles customer onboarding and continuous verification, while Incode Workforce uses facial biometrics to secure employee access, and Age Assurance helps companies comply with age-related rules. The system integrates multi-layer checks to prevent social engineering and sophisticated fraud. Unlike single-solution providers, Incode blends AI, biometric authentication, and compliance features into one platform to cover customers, employees, and age regulations. The company’s goal is to help organizations meet security and regulatory requirements while enabling growth and higher conversion rates by reducing friction for legitimate users.
Industries
Data & Analytics
Enterprise Software
Cybersecurity
AI & Machine Learning
Company Size
501-1,000
Company Stage
Series B
Total Funding
$257.1M
Headquarters
San Francisco, California
Founded
2015
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Total Funding
$257.1M
Above
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Funded Over
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Incode launches GovFaceMatch for DMV-based identity verification. Product links identity to issuing government record via secure DMV integrations Incode has announced the launch of GovFaceMatch, which a blog post calls "the first identity solution to verify biometrics directly against state DMV records in real time." The company says that, in the face of complex, sophisticated AI attacks that hobble traditional identity verification systems, "the only viable solution is to tie identity directly to an irrefutable source of truth." Government records serve this purpose, and Incode is betting on their reliability, in that GovFaceMatch is the first product to launch in GovMatch, a suite of verification solutions built on government records. "By matching a live selfie against the issuing government record," it says, "GovFaceMatch confirms identity against the one source that cannot be fabricated, in an average of 10 seconds." No need to trust document, no additional friction. The firm is positioning its offering as an alternative to additional checks that add friction and can ultimately impact revenue. "Additional identity checks frustrate users, and that frustration translates to drop-offs and lost conversion," it says. "Up to 40 percent of legitimate users abandon document-based verification before they complete their session." GovFaceMatch prioritizes a simple user experience, aiming to offer most customers a basic two-step process: scan a driver's license barcode and take a selfie for matching. In doing so, it tweaks the central question from "does this document look legitimate?" to "does the person undergoing verification match a real government-issued identity?" This, Incode says, eliminates the need to trust the document at all. The product can verify identity in an average of 10 seconds, and has led to a 20 percent increase in overall conversion for select use cases. It requires explicit consent for all user verifications, and facial biometrics "can be deleted immediately following verification." It operates through secure integrations with state DMV systems, with all biometric matching occurring within the DMV environment, behind its security perimeter. This form of direct verification against official issuing records, Incode says, provides "a level of certainty that legacy systems cannot replicate." Government records immune to agentic AI. In a post on LinkedIn, Incode CEO Ricardo Amper calls GovFaceMatch "a new standard for identity verification." He says the threat of AI fraud has grown too sophisticated for the tradeoff between fraud and friction to survive. "A fake identity built on real stolen data and the fraudster's own face sells for as little as $15, and a fully functioning synthetic identity can be built in under seven minutes," Amper says. "The data is real. The face passes the check. Traditional verification was never designed to stop this." Amper points to Incode's recent Agentic Fraud Report, which "documented autonomous AI agents executing attacks with no human operator, generating documents, identities, and deepfakes at machine speed." "Every check that judges whether an artifact looks authentic loses ground as agentic AI improves. A government record does not." Article topics. Latest biometrics news. Aug 11, 2026, 4:51 pm EDT Texas Attorney General Ken Paxton, whose case against adult content providers in the Supreme Court set a precedent on age... Aug 11, 2026, 4:23 pm EDT On the surface, the UK's quest to allow adults to use digital ID to prove their age for alcohol sales... Aug 11, 2026, 3:31 pm EDT The latest NIST Face Recognition Technology Evaluation (FRTE) 1:1 results suggest facial verification is entering a more mature phase. Established... Aug 11, 2026, 3:30 pm EDT Western Australia Police invited additional criticism and controversy into their June pilot of live facial recognition with transparency and consultation... Aug 11, 2026, 3:28 pm EDT The British Transport Police (BTP) are expanding its live facial recognition trial with deployments in London Underground stations. The first... Aug 11, 2026, 2:46 pm EDT Signicat's technology for biometric identity verification and ID document validation with NFC scans, ReadID, has been certified for the UK's...
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
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... Jul 13, 2026, 5:06 pm EDT Deepfake detection teams at Canadian startup deepidv and fraud prevention developer Scam.AI will work together under a new partnership that... Jul 13, 2026, 1:20 pm EDT The Facewatch live facial recognition system used by over 125 retailers operating thousands of stores across the UK will soon... Jul 13, 2026, 12:51 pm EDT ROC continues to cement its position in the U.S. biometrics market for defense and law enforcement, with the announcement that... Jul 13, 2026, 12:50 pm EDT Jul 13, 2026, 12:49 pm EDT Papua New Guinea advances its digital transformation with a new international partnership, fresh AI-safety reforms and deeper integration of its...
Incode adds biometric verification to Auth0 password resets. Incode launched two integrations on Okta's Auth0 marketplace to bring biometric identity verification into customer authentication workflows. The integration includes Incode ID Verification and Incode Face Auth Reset that applies biometric checks at different stages of account security. As the name suggests, Incode ID Verification adds biometric identity proofing to the Auth0 login experience. For example, a new user can be redirected to Incode to capture a government-issued ID and a live selfie. Incode then validates the identity document, checks for liveness, and confirms that the face in the selfie matches the ID. Once that identity has been verified, organizations can use the verification result as a reference point for future authentications. In addition, Incode Face Auth Reset extends that identity check to password resets. The user completes a live face scan, which is matched against the verified identity previously enrolled. This means a password reset requires proof that the person requesting the change is the same verified individual who created the account. This is crucial because password resets are among the weakest points in account security. Traditional password resets depend on control of an email inbox, a reset link, or a one-time code. These methods can fail if an attacker has compromised the user's email account, stolen login credentials or gained access to recovery channels. The Incode-Auth0 integration changes the reset process by checking if the user is the same verified individual who created the account. For organizations using Auth0, the integrations add a biometric layer to customer identity and access management without needing a separate identity proofing system. The approach is more beneficial for financial services, healthcare, and government platforms because the account takeovers can expose sensitive or regulated data. The Auth0 launch comes soon after Incode's acquisition of the Tel Aviv-based startup Identiq. The deal aimed to establish a privacy-preserving fraud-signal-sharing network using Identiq's cryptographic technology for institutions to share fraud intelligence without centralizing customer data. At the application layer, the Auth0 integrations include Incode's biometric ID verification and face authentication for customer identity workflows. This gives organizations a way to verify users during onboarding, login re-verification, and password resets. But at the fraud network layer, the Identiq acquisition gives Incode a way to support shared fraud detection while maintaining customer privacy. The significance of the integration is that biometric identity verification is implemented beyond user onboarding. In this model, the face match and liveness check become part of the account security lifecycle to support re-authentication when the risk level rises. Article topics. Latest biometrics news. Jul 3, 2026, 3:50 pm EDT A wave of new partnerships between major tech players is accelerating a multi-wallet digital identity ecosystem, even as critics warn... Jul 3, 2026, 3:28 pm EDT Police in Canada's capitol Ottawa, Ontario are taking their first step towards a potential implementation of facial recognition from Idemia... Jul 3, 2026, 3:27 pm EDT Laws putting age limits on social media are being introduced in countries around the world, driven by pressure from parents... Jul 3, 2026, 3:25 pm EDT An announcement from UK firm Nuggets, which provides trust infrastructure for autonomous AI, says it has released langchain-nuggets, "an open... Jul 3, 2026, 3:18 pm EDT Insiders and experienced digital identity practitioners within the MOSIP ecosystem are convening to build understanding and dispel misconceptions around the... Jul 3, 2026, 2:07 pm EDT Spain-headquartered digital identity verification company Facephi says its fraud prevention technology has helped reduce commission scam for Peruvian internet gaming...
Auth0 and Incode boost authentication security with biometric identity verification. Secure your authentication pipeline. Learn how the new Auth0 and Incode integration uses biometric identity verification to halt account takeovers. TL;DR: Auth0 and Incode have launched new integrations to combat fraud with biometric verification. Incode ID Verification validates new users against government IDs, while Incode Face Auth Reset prevents account takeovers by requiring biometric scans before password changes. These tools enable high-assurance identity verification for regulated industries, boosting security without creating user friction. Building a resilient identity strategy means continuously adapting to sophisticated digital fraud. Organizations are looking for seamless ways to bring real-world, legal identity verification directly into their access management workflows. Elevating security at critical milestones allows businesses to establish an ironclad chain of trust from day one. While passwords and email-based reset links successfully verify credentials, high-assurance environments require an extra layer to definitively prove identity. The 2025 Verizon Data Breach Investigations Report confirms that stolen credentials are the primary entry point for breaches, playing a role in 88% of all basic web application attacks. Every day, attackers buy stolen credentials on breach forums. Inboxes get compromised. And the password reset flow - the very mechanism meant to protect users - has become one of the most common ways for attackers to take over accounts. An email reset link in the wrong hands is all it takes. For teams in financial services, healthcare, legal, HR, and government, this gap is not just a security risk. It is a compliance one. Regulators, auditors, and customers all expect you to know that the person behind an account is genuinely who they claim to be. Meeting these strict standards requires tying digital access directly to a verified legal identity. So Auth0 asked a simpler question: What if your login flow could verify a real, legal identity, and confirm it again at the moments that matter most? That is what Auth0 and Incode are launching. Prove identity once. Re-Verify it at the moments that matter. Two new Incode integrations are now live on the Auth0 Marketplace. Together, they create a continuous chain of trust, proving identity when a new user logs in for the first time, then re-confirming it before sensitive actions like a password reset. What is Incode ID Verification? The Incode ID Verification adds Incode's full biometric identity verification flow directly to your Auth0 login experience. When a new user logs in for the first time, they are automatically redirected to Incode to complete verification: capturing their government-issued ID and a live selfie. Incode validates the document, checks for liveness, and confirms the face matches the ID. Once verified, that identity is securely stored in the user's Auth0 profile. On subsequent sign-ins, returning users simply authenticate with a quick face scan. And you stay in control: configure how often users must re-verify (daily, monthly, yearly, or never), and optionally block login entirely if verification fails. What is Incode Face Auth Reset? The Incode Face Auth Reset helps secures one of the most exploited paths to account takeover. Before any password change is allowed, users get redirected to Incode to complete a live face scan. That face is matched 1:1 against the legal identity enrolled during their first login, confirming the person requesting the reset is the same verified individual who created the account. An attacker with stolen credentials and email access cannot pass this check. If the faces match, the reset proceeds. If not, it is blocked. Common use cases include: * Identity proofing at onboarding: For example, financial services and fintech companies verifying customer identity at account creation to meet regulatory requirements. * High-assurance login: Organizations requiring step-up verification for access to sensitive data, transactions, or privileged actions. * More secure password reset: Preventing account takeover via compromised email-based reset flows by requiring biometric verification before any credential change. What Incode ID Verification and Incode Face Auth Reset means for your team? You know who is really behind the account. By anchoring access management to a government-issued ID and a live biometric check, organizations gain confidence that the physical person logging in is the true account owner. Security does not come at the cost of experience. After initial verification, returning users authenticate with a quick face scan. No documents to re-scan, no OTP codes, no friction. You can deploy it in minutes, not months. Both integrations are available as Auth0 Marketplace. No custom development required. See Incode ID Verification and Incode Face Auth Reset in action. Here is a full end-to-end video walkthrough of both integrations: Get started. Both integrations are live now on the Auth0 Marketplace. Have questions? Reach out to the Auth0 team to discuss your use case. Reyna lao. Product Marketing Intern Reyna is a Product Marketing Intern at Okta, contributing to the growth and strategy of Okta Workflows and Auth0 Extensibility. Currently pursuing an Economics degree at UC Berkeley, she is passionate about the intersection of technology, product, and marketing. She is driven to translate complex technical capabilities into high-impact value propositions for users and enterprises. View profile
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Industries
Data & Analytics
Enterprise Software
Cybersecurity
AI & Machine Learning
Company Size
501-1,000
Company Stage
Series B
Total Funding
$257.1M
Headquarters
San Francisco, California
Founded
2015
Find jobs on Simplify and start your career today