Read-only view: browsing is open, changes need a signed-in user.
Staging: test environment for new releases. Data may be reset; do not share from here.
WatchtowerSignicat competitor intelligence

Feed

Reset
Incode· 3 Nov 2026 L2 · Minor

The Incode Platform is listed on the FedRAMP Marketplace with an Agency Auth In Process designation, updated October 15, 2026.

Incode platform achieves FedRAMP In Process status, advancing identity verification for US federal agencies ↗

What happened

  • Incode is pursuing FedRAMP Rev 5 authorization at the Moderate impact level for the Incode Platform, running in AWS GovCloud (US).
  • The effort is agency-sponsored through GSA and supports a GSA BPA and call order for identity verification for Login.gov.
  • Incode is scheduled to start its third-party assessment with its 3PAO before the end of 2026, with final ATO targeted for early 2027.

Why it matters to Signicat

  • In Process is not an ATO; a federal-sector IDV competitor is pre-authorization, so near-term US federal awards are not yet unlocked. Relevance to Signicat's Nordic, Benelux, DACH, Iberia and UK core markets is low.
  • Login.gov identity proofing selection is a US federal reference point that Signicat's public sector positioning in Europe does not directly overlap.
Evidence from the source (5 quotes)
  • “Incode is pursuing FedRAMP Rev 5 authorization at the Moderate impact level for the Incode Platform, which runs in AWS GovCloud (US).” source ↗
  • “Incode is taking an agency-sponsored path with the US General Services Administration (GSA). The effort supports GSA's blanket purchase agreement (BPA) and call order for identity verification services for Login.gov” source ↗
  • “Incode is scheduled to start its third-party assessment with their 3PAO before the end of 2026. This milestone puts Incode omni on a path toward final ATO in early 2027.” source ↗
  • “An ATO is the final step. The in-process listing shows verified progress that anyone can check on the Marketplace.” source ↗
  • “Learn more about Incode's selection for Login.gov identity proofing.” source ↗
Document IDV biometricsCertificationRegulatory commentaryGlobal

4 of 4 facts verified against the source · confidence high · claude-haiku-5-5

Incode· 28 Oct 2026 L2 · Minor

Incode states businesses need a configuration change rather than an integration change to enable Google Wallet acceptance.

Incode now accepts digital IDs from Google Wallet ↗

Why it matters to Signicat

  • Signicat's wallet-based identity routes (Wallet Hub, eID Hub) face a competitor offering Google Wallet mDL/digital ID acceptance as a configuration option in its verification suite.
Evidence from the source (1 quote)
  • “Teams evaluating Incode get wallet acceptance inside the full identity and age verification suite, designed for onboarding, authentication, and advanced fraud prevention.” source ↗
Document IDV biometricsReusable identity VCAge verificationFeature updateProduct launchGlobal

1 of 3 facts verified against the source · confidence medium · level lowered after verification · claude-haiku-5-5

Incode· 27 Oct 2026 L3 · Notable

Incode KYB now lets customers choose which of eight checks to run on a US business, all through the same API.

Incode Know Your Business (KYB) now lets customers choose their checks ↗

What happened

  • Four new checks were added to KYB: Web Presence, Website Analysis, Industry Info, and Financial Intelligence.
  • The four new checks take 15 to 45 seconds to resolve, and Incode delivers those slower results by webhook.
  • This release covers US businesses.

Why it matters to Signicat

  • Modular per-check KYB lets customers buy narrower checks, which overlaps Signicat's Risk and AML screening and business verification scope.
  • The release is US-only, so it does not directly contest Signicat's core markets (Nordics, Benelux, DACH, Iberia, UK).
Evidence from the source (5 quotes)
  • “the update introduces four new checks to KYB: Web Presence and Website Analysis show whether a business operates online, Industry Info shows what the business does, and Financial Intelligence shows its financial history.” source ↗
  • “The four new checks (Web Presence, Website Analysis, Industry Info, and Financial Intelligence) take 15 to 45 seconds to resolve” source ↗
  • “This release covers US businesses.” source ↗
  • “empowers customers to use only the checks they need.” source ↗
  • “This release covers US businesses.” source ↗
AML KYB screeningOrchestration platformDeveloper experiencePricing packagingProduct launchFeature updateGlobal

4 of 4 facts verified against the source · confidence high · claude-haiku-5-5

Incode· 26 Oct 2026 L3 · Notable

Incode announced it achieved ISO/IEC 42001:2023 certification.

Incode earns ISO/IEC 42001 certification for responsible AI management ↗

What happened

  • The certification covers Incode's AI management system across design, training, deployment and monitoring of AI systems supporting the Incode Omni identity security platform.
  • The certificate was issued in October 2026 and is valid through October 2029.

Why it matters to Signicat

  • Incode is positioning AI governance certification as a procurement criterion for IDV buyers, which Signicat's security and compliance pitch may need to address in RFPs.
  • The certification is a vendor-side claim of AI governance; the article does not provide independent audit findings beyond the certification itself.
Evidence from the source (4 quotes)
  • “It governs the AI systems that support the Incode Omni identity security platform across their full lifecycle:” source ↗
  • “The certificate was issued in October 2026, and is valid through October 2029.” source ↗
  • “For organizations choosing an identity verification provider, the quality and certifications behind AI must now become part of the decision.” source ↗
  • “The certification was issued by Sensiba LLP, an ANAB-accredited certification body, following an independent audit of Incode's AI management system.” source ↗
Document IDV biometricsPositioning narrativeCertificationGlobal

3 of 3 facts verified against the source · confidence high · claude-haiku-5-5

Incode· 14 Oct 2026 L4 · Significant

Incode launched TrustGraph on 14 October 2026 as a privacy-preserving trust network for detecting repeat and agentic fraud.

Incode launches TrustGraph, the first trust network built for the agentic era ↗

What happened

  • TrustGraph runs on peer-to-peer cryptographic technology without a central pool of customer records.
  • Incode states that Identiq was acquired by Incode in June 2026.
  • Incode states that in its early access program, institutions using TrustGraph detected up to 53% more fraud than with existing models alone.
  • TrustGraph is available today as part of the Incode platform.
  • Incode projects that agentic fraud will account for 60% of all fraud attempts by the end of 2026.

Why it matters to Signicat

  • A cross-institution fraud network with SMPC would compete with Signicat's risk and fraud screening if sold to banks and marketplaces.
  • The 53% figure is a vendor early-access claim without published methodology, so it should not be treated as independently verified.
Evidence from the source (7 quotes)
  • “TrustGraph runs on patented peer-to-peer cryptographic technology that connects fraud and trust signals across participating institutions without creating a central pool of customer records.” source ↗
  • “Identiq was acquired by Incode in June 2026.” source ↗
  • “In Incode's early access program, institutions using TrustGraph detected up to 53% more fraud than with their existing models alone.” source ↗
  • “TrustGraph is available today as part of the Incode platform” source ↗
  • “Incode projects that agentic fraud will account for 60% of all fraud attempts by the end of 2026.” source ↗
  • “TrustGraph is available today as part of the Incode platform” source ↗
  • “In Incode's early access program, institutions using TrustGraph detected up to 53% more fraud than with their existing models alone.” source ↗
Fraud deepfake injectionOrchestration platformData sovereignty privacyProduct launchM&AGlobal

6 of 6 facts verified against the source · confidence medium · claude-haiku-5-5

Incode· 8 Oct 2026 L3 · Notable

Incode announced a research collaboration with Purdue University aimed at deepfake detection and evaluation in real-world identity verification.

Incode Partners with Purdue University for Deepfake Detection Research ↗

What happened

  • The partnership pairs Incode's machine learning team with Purdue researchers on five shared goals, including detection of unseen synthetic media and independent evaluation.
  • Both teams plan to publish findings and resources openly when they are ready.
  • Incode states it won both tracks of the IJCB PAD-ID Card competition and first place in the video category of LivDet-Face 2026.

Why it matters to Signicat

  • Signicat's document IDV and fraud offerings face a competitor with publicized independent benchmark wins and an academic research tie-in; relevant to competitive positioning on injection and deepfake detection.
Evidence from the source (4 quotes)
  • “The partnership pairs Incode’s machine learning team with Purdue researchers on five shared goals:” source ↗
  • “Both teams plan to publish findings and resources openly when they are ready” source ↗
  • “In 2026, Incode won both tracks of the IJCB PAD-ID Card document forgery detection competition and took first place in the video category of LivDet-Face 2026” source ↗
  • “Incode won both tracks of the IJCB PAD-ID Card document forgery detection competition” source ↗
Fraud deepfake injectionDocument IDV biometricsPartnershipResearch reportGlobal

4 of 4 facts verified against the source · confidence medium · claude-haiku-5-5

Incode· 5 Oct 2026 L3 · Notable

Incode publishes a case study describing an unnamed large US mobile carrier using its identity verification for new lines and high-risk account changes.

Cómo una operadora móvil líder de EE. UU. detiene el fraude de suscripción y la toma de cuentas con Incode ↗

What happened

  • The carrier verifies government ID and live face match before activating a line or financing a device.
  • Incode re-verifies the registered account holder before SIM changes, port-outs and sensitive contact-center changes proceed.

Why it matters to Signicat

  • The case places IDV and face authentication in carrier SIM-swap and port-out flows, overlapping Signicat's authentication and IDV offerings in telco account-takeover use cases; no Signicat-specific comparison is stated in the article.
  • The 11x faster onboarding claim is a vendor claim without disclosed baseline or methodology and should be attributed to Incode.
Evidence from the source (4 quotes)
  • “La identificación gubernamental del cliente se lee, se autentica y se compara con su rostro en vivo, confirmando una identidad genuina antes de activar una línea o financiar un equipo a plazos.” source ↗
  • “Cuando un suscriptor pide cambiar una SIM, portar su número o hacer un cambio sensible a través del centro de atención, Incode vuelve a verificar que sea el titular real e inscrito de la cuenta antes de que el cambio proceda.” source ↗
  • “Autenticación para cambios de SIM, port-outs y el centro de atención” source ↗
  • “el onboarding de los suscriptores legítimos es 11x más rápido” source ↗
Document IDV biometricsAuthentication passwordlessFraud deepfake injectionCase studyGlobal

3 of 3 facts verified against the source · confidence medium · claude-haiku-5-5

Incode· 5 Oct 2026 L2 · Minor

Incode published a TikTok case study describing an automated age-appeal verification flow using ID capture, liveness and face match.

Cómo TikTok verifica la edad de más de 18M de usuarios al año con Incode ↗

What happened

  • The case study states that more than 18 million users per year complete age verification.
  • The case study states that iBeta certifies Incode's passive liveness detection at levels 1 to 3.

Why it matters to Signicat

  • Incode presents a large-platform age-assurance reference in age verification, a use case Signicat's document IDV and liveness stack can be compared against.
  • Customer-reference and benchmark claims are vendor-authored; the case study is marketing material, so outcome figures are unverified.
Evidence from the source (4 quotes)
  • “Más de 18 millones de usuarios al año completan la verificación de edad, en una plataforma con más de 1,000 millones de usuarios activos mensuales en todo el mundo.” source ↗
  • “La detección pasiva de vida de Incode está certificada por iBeta (niveles 1 a 3)” source ↗
  • “Cumple el nivel de garantía de edad de cada mercado sin perder a los usuarios legítimos detrás de las apelaciones.” source ↗
  • “Precisión certificada y evaluada” source ↗
Age verificationDocument IDV biometricsCase studyGlobal

3 of 3 facts verified against the source · confidence medium · claude-haiku-5-5

Incode· 5 Oct 2026 L2 · Minor

Tenant Inc., a US self-storage SaaS platform, uses Incode identity verification at booking, where a customer takes a selfie and driver's licence photo on a phone or verifies in person later.

Cómo Tenant Inc. preparó para el futuro su negocio de self-storage con Incode ↗

What happened

  • The article states that more than 20,000 fraudulent sessions have been blocked.

Why it matters to Signicat

  • Case study is a vendor-authored customer account in a US vertical outside Signicat's core markets; figures are not independently verified.
Evidence from the source (2 quotes)
  • “Se han bloqueado más de 20,000 sesiones fraudulentas” source ↗
  • “Se han bloqueado más de 20,000 sesiones fraudulentas” source ↗
Document IDV biometricsData sovereignty privacyCase studyGlobal

2 of 2 facts verified against the source · confidence medium · claude-haiku-5-5

Incode· 5 Oct 2026 L3 · Notable

Incode case study: Quest Diagnostics layered identity verification for MyQuest

Cómo Quest Diagnostics protege el acceso de los pacientes a sus resultados de laboratorio con Incode ↗

What happened

  • Quest Diagnostics uses Incode verification in MyQuest, with a first non-document check against authoritative data and escalation to document scan with selfie and passive liveness only when risk signals require it.
  • The layered verification replaced knowledge-based authentication across all of MyQuest.
  • The deployment is single-tenant and HIPAA-aligned with a Business Associate Agreement, hosted in a US region.
  • The case study reports Quest onboarding results of 5x faster, 98% completion and 50% average cost reduction.

Why it matters to Signicat

  • A named US healthcare deployment of Incode in a sensitive-data workflow competes with Signicat's identity verification in regulated healthcare; Signicat's core markets are European, so direct overlap is limited.
  • The 5x, 98% and 50% figures are vendor-reported in a case study and not independently verified.
Evidence from the source (6 quotes)
  • “Quest reemplazó las preguntas estáticas con una verificación por capas dentro de MyQuest, que empieza con el paso más ligero y suma seguridad solo cuando el riesgo lo justifica.” source ↗
  • “El modelo por capas reemplazó la autenticación basada en conocimiento en todo MyQuest” source ↗
  • “Conforme con HIPAA” source ↗
  • “Quest reporta un onboarding de pacientes 5x más rápido, una tasa de finalización del 98%, lo que representa un aumento del 25%, y una reducción promedio de costos del 50%.” source ↗
  • “Conforme con HIPAA” source ↗
  • “Quest reporta un onboarding de pacientes 5x más rápido, una tasa de finalización del 98%, lo que representa un aumento del 25%, y una reducción promedio de costos del 50%.” source ↗
Document IDV biometricsAuthentication passwordlessData sovereignty privacyCase studyGlobal

4 of 4 facts verified against the source · confidence medium · claude-haiku-5-5

Incode· 5 Oct 2026 L4 · Significant

GSA Technology Transformation Services issued a $37.4M purchase order under the Next Generation Identity Proofing BPA.

Incode, seleccionada para fortalecer la comprobación de identidad de Login.gov ↗

What happened

  • Diamond Capture Associates and Incode will support Login.gov's NG BPA for remote unsupervised identity verification solutions under this purchase order.
  • Diamond Capture Associates is a women-owned enterprise technology consultancy that is implementing the work with Incode.
  • Login.gov manages about 300M sign-ins per year and serves 72M active users annually, as stated by the article.

Why it matters to Signicat

  • A federal flagship government identity-proofing win in the US market is a direct competitive loss signal for Signicat's public-sector IDV pitch, though outside Signicat's core European markets.
  • Incode's remote unsupervised IDV is positioned as a government identity-proofing platform with in-house biometrics, a comparable claim to Signicat's document IDV offering.
Evidence from the source (5 quotes)
  • “Con esta orden de compra, Diamond Capture Associates e Incode respaldarán el NG BPA de Login.gov de soluciones de comprobación de identidad remota sin supervisión.” source ↗
  • “Diamond Capture Associates, una consultora de tecnología empresarial propiedad de mujeres” source ↗
  • “Gestiona alrededor de 300M inicios de sesión al año y atiende a 72M usuarios activos anualmente.” source ↗
  • “Una orden de compra de $37.4M” source ↗
  • “La plataforma biométrica de identidad propia de Incode está diseñada para ayudar a las agencias federales a verificar identidades con mayor precisión, seguridad y equidad” source ↗
Document IDV biometricsCustomer winCase studyGlobal

4 of 4 facts verified against the source · confidence high · claude-haiku-5-5

Incode· 5 Oct 2026 L3 · Notable

Incode published a customer case study describing Fan ID, a biometric stadium access system built with LIGA MX.

Cómo LIGA MX verifica a 4.7 millones de aficionados con Incode ↗

What happened

  • Users register once with a selfie and an official ID; access then uses a live facial recapture compared with the enrolled template.
  • Incode reports 4.7 million identities registered since launch and operation at more than 1,300 matches in 17 stadiums.
  • Stadium access review is designed to take under 5 seconds per fan; this is a vendor design target, not a measured result.
  • Banned fans can be placed on a blocklist that the access check enforces.

Why it matters to Signicat

  • Fan ID is a large-scale public-sector biometric access deployment in Mexico, outside Signicat's core markets; limited direct overlap.
  • Reference shows Incode scaling selfie-plus-document enrollment and passive liveness in a high-volume public deployment, relevant to Signicat's document IDV positioning.
Evidence from the source (6 quotes)
  • “Un aficionado se registra con una sola selfie y una identificación oficial, y el resultado es un Fan ID seguro que lleva en su teléfono.” source ↗
  • “Desde el lanzamiento se han registrado 4.7 millones de identidades, el equivalente a llenar el Estadio Azteca 54 veces, y Fan ID ha operado en más de 1,300 partidos en 17 estadios.” source ↗
  • “La revisión está diseñada para dejar pasar a un aficionado en menos de 5 segundos” source ↗
  • “Los aficionados que se portan mal en la jornada pueden agregarse a una lista de bloqueo y quedar impedidos de volver” source ↗
  • “Fan ID es un sistema de acceso biométrico que Incode creó con LIGA MX después de la violencia entre aficionados de 2022.” source ↗
  • “Un aficionado se registra con una sola selfie y una identificación oficial” source ↗
Document IDV biometricsAuthentication passwordlessData sovereignty privacyCase studyGlobal

5 of 5 facts verified against the source · confidence medium · claude-haiku-5-5

Incode· 5 Oct 2026 L2 · Minor

Lemonade deployed Incode Workforce as an additional identity assurance layer for its remote personnel, integrated into its existing identity provider.

How Lemonade verifies its global workforce and secures passwordless access with Incode ↗

What happened

  • Remote workers verify with a government ID and a live selfie before access is granted, per the article.
  • Incode states its passive liveness detection is iBeta certified (Levels 1–3).

Why it matters to Signicat

  • The case study places workforce IDV and passkey enrollment inside an existing IdP, overlapping Signicat's authentication and IDV offering in enterprise workforce use cases outside its core customer-onboarding focus.
  • Claims of privacy-by-design and AI-first fraud reduction are vendor positioning and unverified.
Evidence from the source (4 quotes)
  • “A remote worker proves who they are with a government ID and a live selfie, binding a verified, real-person identity to their account before they ever get access” source ↗
  • “Incode’s passive liveness detection is iBeta certified (Levels 1–3)” source ↗
  • “Incode verifies they are the real, enrolled person first.” source ↗
  • “Its AI-first identity verification reduces fraud while remaining private and compliant.” source ↗
Document IDV biometricsAuthentication passwordlessFraud deepfake injectionCase studyGlobal

3 of 3 facts verified against the source · confidence medium · claude-haiku-5-5

Incode· 5 Oct 2026 L3 · Notable

Lemon is a crypto platform serving customers across Latin America, operating in Argentina, Brazil and Peru.

Cómo Lemon verifica a sus clientes cripto en toda América Latina con Incode ↗

What happened

  • The Incode flow captures and validates Argentina's national ID (DNI) with per-country configuration.
  • Deepsight runs in Lemon's active flow in Argentina to detect altered and AI-generated documents.
  • Applicants in Argentina are checked against Renaper, the national population registry.
  • Returning users are revalidated against stored identity with a single facial authentication step.

Why it matters to Signicat

  • Incode is positioned as a single multi-market IDV, fraud and watchlist stack in a crypto account-opening use case, which overlaps Signicat's document IDV, risk and AML screening offering in LatAm; no Signicat core-market overlap is shown.
  • The customer-testimony consolidation claim is single-vendor marketing; it is not independently verified.
Evidence from the source (6 quotes)
  • “El flujo captura y valida la identificación nacional de cada mercado, empezando por el DNI de Argentina, con configuración por país.” source ↗
  • “Deepsight corre en el flujo activo de Lemon en Argentina y detecta documentos alterados y generados con IA que logran superar una revisión básica de plantilla.” source ↗
  • “Además de leer el DNI, el solicitante se verifica contra Renaper, el registro nacional de las personas de Argentina.” source ↗
  • “un usuario recurrente se revalida contra su identidad almacenada con un solo paso de autenticación facial en lugar de volver a hacer el onboarding.” source ↗
  • “Lemon necesitaba un solo socio capaz de verificar la identidad, detectar el fraude y cumplir con cada regulador, en los tres mercados, sin frenar el registro.” source ↗
  • “Las verificaciones de identidad, fraude, gobierno y AML ya corren en una sola plataforma, en todos los lugares donde operamos.” source ↗
Document IDV biometricsFraud deepfake injectionAML KYB screeningOrchestration platformCase studyGlobal

5 of 5 facts verified against the source · confidence high · claude-haiku-5-5

Incode· 5 Oct 2026 L2 · Minor

Klar uses Incode identity verification, with a photo of the INE and a selfie, to onboard new users.

Cómo Klar amplía la inclusión financiera en México con Incode ↗

What happened

  • The article states that Klar's verification uses passive liveness in the face comparison step.
  • The article reports that Incode infrastructure scaled with Klar to over 7 million users.

Why it matters to Signicat

  • Incode holds a named Mexican fintech onboarding reference at scale; Signicat's core markets exclude Mexico, so direct overlap is limited.
  • Vendor outcome claims (50% more credit access, 1.8x purchase value) are self-reported in the case study and not independently verified.
Evidence from the source (4 quotes)
  • “La comparación biométrica facial, sin esfuerzo y con detección pasiva de vida, confirma a la persona detrás del documento sin pedirle al usuario gestos ni pasos adicionales.” source ↗
  • “La infraestructura de Incode creció junto con Klar de miles de usuarios a más de 7 millones” source ↗
  • “Klar está transformando el panorama financiero de México” source ↗
  • “Los usuarios con poco o ningún historial crediticio obtuvieron 50% más acceso al crédito, 90% de las ofertas de aumento de línea de crédito se aceptan en una semana y el monto promedio de compra después de obtener crédito es 1.8x mayor.” source ↗
Document IDV biometricsCase studyGlobal

3 of 3 facts verified against the source · confidence high · claude-haiku-5-5

Incode· 5 Oct 2026 L2 · Minor

Incode publishes a case study describing FanDuel's US state and Canada registration identity verification using Identity Verification, GovMatch, Risk AI Agent and collective intelligence.

Cómo FanDuel bloquea el fraude sin rechazar a clientes reales ↗

What happened

  • The article reports, as a vendor-presented outcome, about 46% fewer genuine customers wrongly blocked at registration with no fraud increase.
  • The article states that in a federal case, about 3,000 stolen identities were used to defraud FanDuel and other operators of about $3 million.

Why it matters to Signicat

  • Signicat's regulated-gaming onboarding and IDV positioning faces a named-operator case study in US and Canadian betting; the article's direct overlap with Signicat's core European markets is not evident.
  • The 46% and 1% outcome figures are unverified vendor-reported results without stated methodology and should be attributed to Incode.
Evidence from the source (4 quotes)
  • “Cerca de 46% menos clientes bloqueados por error en el registro, sin aumento del fraude, y alrededor de 1% más clientes genuinos aprobados en flujos de alto volumen.” source ↗
  • “En un caso federal, dos personas usaron cerca de 3,000 identidades robadas para defraudar a FanDuel y a otros operadores por alrededor de $3 millones.” source ↗
  • “Ese es el papel que Incode desempeña en cada estado de EE. UU. y en Canadá.” source ↗
  • “Cerca de 46% menos clientes bloqueados por error en el registro” source ↗
Document IDV biometricsFraud deepfake injectionOrchestration platformCase studyGlobal

3 of 3 facts verified against the source · confidence medium · claude-haiku-5-5

Incode· 5 Oct 2026 L3 · Notable

Incode and Experian integrate deepfake detection into CrossCore Document Verification

Cómo Experian fortalece la prevención global del fraude con Incode ↗

What happened

  • Experian integrates Incode verification directly into its CrossCore Document Verification suite within the Ascend Platform.
  • The integration is available first in North America, with global expansion planned.
  • Deepsight combines liveness, behavioral and device-risk test data to protect against deepfakes and AI-driven impersonation.
  • An Experian senior VP states that Deepsight deepfake detection is brought directly into Experian's identity and fraud solutions.

Why it matters to Signicat

  • Incode gains placement inside a major credit-bureau fraud platform, a channel that competes with Signicat's risk and IDV offerings in markets where Experian operates.
  • Source is a vendor case study with Experian testimonials; claims of 'líder en el mercado' and 'sin precedentes' are promotional and unverified.
Evidence from the source (6 quotes)
  • “La verificación de Incode está integrada directamente en la suite CrossCore Document Verification” source ↗
  • “La integración está disponible primero en Norteamérica, con planes de expansión global.” source ↗
  • “La detección de deepfakes de Deepsight combina datos de prueba de vida, de comportamiento y de riesgo del dispositivo” source ↗
  • “Nuestro trabajo con Incode lleva su detección de deepfakes Deepsight directamente a las soluciones de identidad y fraude de Experian” source ↗
  • “Integrar la verificación de identidad en la Ascend Platform extiende esa protección” source ↗
  • “lo que da a nuestros clientes una protección líder en el mercado” source ↗
Fraud deepfake injectionDocument IDV biometricsOrchestration platformCase studyPartnershipGlobal

4 of 4 facts verified against the source · confidence medium · claude-haiku-5-5

Incode· 5 Oct 2026 L3 · Notable

Etsy deployed Incode's identity verification platform across its remote hiring process to authenticate candidates from initial application through day-one onboarding.

How Etsy verifies candidates across 100K+ applications with Incode ↗

What happened

  • The verification workflow integrates directly into Etsy's Workday deployment and incorporates phone, email, and network risk signals at application, followed by document capture and selfie biometrics before interviews.
  • Incode's Deepsight engine screens candidate submissions for deepfakes, AI-generated documents, and synthetic faces, escalating flagged sessions to Incode's fraud team.

Why it matters to Signicat

  • Incode is expanding customer-facing IDV into enterprise HR and workforce onboarding workflows integrated with Workday, demonstrating practical adoption of deepfake defense in corporate hiring.
  • Etsy operates hubs in Ireland, placing Incode's candidate verification deployment within Signicat's European operating footprint.
Evidence from the source (4 quotes)
  • “Full-time candidates are verified inside Etsy's existing Workday hiring flow, routed automatically by geography and role, so recruiters never run a separate tool.” source ↗
  • “Deepsight detects deepfakes, AI-generated documents, and synthetic faces rather than simply reading an ID. Sessions that raise a flag escalate to Incode's fraud team for a final decision.” source ↗
  • “Full-time candidates are verified inside Etsy's existing Workday hiring flow, routed automatically by geography and role, so recruiters never run a separate tool.” source ↗
  • “Incode verifies identities across 190+ countries and 6K+ document types, covering Etsy's international hiring, including its hubs in Mexico and Ireland.” source ↗
Document IDV biometricsFraud deepfake injectionOrchestration platformCase studyGlobalUK IE

3 of 3 facts verified against the source · confidence high · gemini-3.8-flash

Incode· 5 Oct 2026 L3 · Notable

Equifax chose Incode to add a frictionless but robust identity layer inside Kount 360.

Cómo Equifax detiene los deepfakes y el fraude sintético con Incode ↗

What happened

  • Businesses access Incode biometric and document verification directly in Kount 360, per the article.
  • The article states Equifax's synthetic identity fraud grew 14% year over year in its credit application data.
  • The article states account takeover rose 8% globally.

Why it matters to Signicat

  • A large credit bureau bundling Incode IDV and Deepsight deepfake detection inside its fraud platform competes with Signicat's fraud and IDV offering in Equifax-served markets.
  • Equifax-sourced claims on 14% and 8% growth and the 'sin fricción' outcomes are vendor-partner statements, not independently verified.
Evidence from the source (5 quotes)
  • “Por primera vez, las empresas acceden a la verificación biométrica y de documentos de Incode directamente en Kount 360” source ↗
  • “El fraude de identidad sintética creció 14% año contra año en los datos de solicitudes de crédito de Equifax” source ↗
  • “La toma de cuentas aumentó 8% a nivel global” source ↗
  • “La integración pone a Incode frente a la base de clientes de Equifax, desde instituciones financieras hasta agencias públicas” source ↗
  • “La verificación sin fricción también reduce el abandono en el onboarding y convierte a más buenos clientes.” source ↗
Document IDV biometricsFraud deepfake injectionOrchestration platformCustomer winCase studyGlobal

4 of 4 facts verified against the source · confidence medium · claude-haiku-5-5

Incode· 5 Oct 2026 L3 · Notable

Chime escalates higher-risk new-member cases to Incode for deeper identity verification after its initial data review.

Cómo Chime redujo 24% las pérdidas por disputas en pagos entre personas ↗

What happened

  • Chime uses Face Login to confirm a member before a peer-to-peer payment.
  • Incode states early results show peer-to-peer dispute losses are falling.

Why it matters to Signicat

  • A named US neobank case adds Incode evidence in layered IDV plus face authentication, a use case that overlaps Signicat's authentication and IDV offerings; the market is outside Signicat's core footprint.
  • The 24% figure and the approximately $634K annual saving are vendor-reported in a marketing case study and are not independently verified.
Evidence from the source (4 quotes)
  • “Chime usa Face Login para confirmar a un miembro antes de un pago entre personas” source ↗
  • “los primeros resultados muestran que las pérdidas por disputas están bajando” source ↗
  • “Los casos difíciles reciben una verificación de identidad por capas que aprueba a los miembros reales y detiene el fraude que una revisión de datos pasa por alto.” source ↗
  • “Los primeros resultados muestran pérdidas por disputas 24% menores, lo que equivale a un ahorro de alrededor de $634K al año.” source ↗
Document IDV biometricsAuthentication passwordlessFraud deepfake injectionCase studyGlobal

3 of 3 facts verified against the source · confidence medium · claude-haiku-5-5

Incode· 5 Oct 2026 L3 · Notable

Incode published a customer case study stating that BetMGM replaced its previous identity provider with Incode and chose full automation instead of human review.

Cómo BetMGM detecta las IDs alteradas que la revisión manual dejaba pasar ↗

What happened

  • The case study states that automated forensic checks analyze each document for signs of alteration and manipulation.
  • The case study's FAQ states that about 9% of submitted documents were detected as altered after automated verification went live.
  • The case study states Deepsight, Incode's deepfake defense layer, is the next item on BetMGM's roadmap.

Why it matters to Signicat

  • The case study is a vendor-authored customer story in regulated iGaming in North America, outside Signicat's core European markets; direct overlap is limited to automated document IDV and deepfake/injection positioning.
  • The 9% altered-document and 97% first-attempt figures are vendor-reported and not independently verified.
Evidence from the source (5 quotes)
  • “Las verificaciones forenses automatizadas analizan cada documento en busca de señales de alteración y manipulación que un revisor humano aprueba bajo presión de tiempo.” source ↗
  • “Aproximadamente el 9% de los documentos enviados se detectaron como alterados una vez que la verificación automatizada entró en funcionamiento.” source ↗
  • “Es la siguiente capa en la hoja de ruta de BetMGM” source ↗
  • “BetMGM opera tres marcas en EE. UU. y Canadá” source ↗
  • “Aproximadamente el 9% de los documentos enviados se detectaron como alterados” source ↗
Document IDV biometricsFraud deepfake injectionCase studyGlobal

4 of 4 facts verified against the source · confidence medium · claude-haiku-5-5

Incode· 5 Oct 2026 L2 · Minor

Banco Dondé is a digital bank that emerged from Fundación Dondé and started in 2023 as a digital and inclusive bank.

Cómo Banco Dondé abre cuentas bancarias en minutos con Incode ↗

What happened

  • Banco Dondé's customers previously had to be physically present for biometric verification on a tablet.
  • Incode's passive liveness detection is stated to be certified by iBeta (Level 2) and to run in 40 milliseconds.
  • The bank states that customers open accounts in minutes from their phone with deposits covered by the IPAB deposit insurance.

Why it matters to Signicat

  • A Mexican digital bank customer win for Incode IDV and liveness is a mid-size customer story outside Signicat's core markets.
  • Incode's deepfake detection combined with device and behavioral signals is a vendor claim for Signicat's fraud positioning to monitor.
Evidence from the source (5 quotes)
  • “Antes, los clientes de Banco Dondé tenían que estar presentes físicamente para la verificación biométrica en una tableta” source ↗
  • “La detección pasiva de vida, certificada por iBeta (Nivel 2), se ejecuta en 40 milisegundos” source ↗
  • “Hoy los clientes abren una cuenta en minutos desde su celular, con fondos 100% protegidos por el seguro de depósitos del IPAB.” source ↗
  • “Banco Dondé nació de Fundación Dondé” source ↗
  • “la detección de deepfakes combina la detección pasiva de vida con señales de comportamiento y de riesgo del dispositivo” source ↗
Document IDV biometricsFraud deepfake injectionCase studyGlobal

4 of 4 facts verified against the source · confidence high · claude-haiku-5-5

Incode· 5 Oct 2026 L2 · Minor

Airbnb moved Incode to production after a multi-year evaluation and a paid pilot, and expanded its government ID verification during the first year.

Cómo Airbnb verifica la confianza en 200+ países con Incode ↗

What happened

  • Incode states its OCR reads names and key fields with accuracy above 99.9%.

Why it matters to Signicat

  • Incode is positioning a named global marketplace reference for ID verification, which competes with Signicat's document IDV in consumer onboarding at scale.
  • The case is a single vendor-authored customer story with no independent validation; accuracy and fraud-stopping figures should be attributed to Incode.
Evidence from the source (3 quotes)
  • “El OCR lee el nombre y los campos clave directamente de la identificación con una precisión superior al 99.9%” source ↗
  • “Airbnb exige la verificación de identidad a anfitriones y huéspedes en cada reserva” source ↗
  • “Incode oculta los campos sensibles del documento con una precisión superior al 99.99%” source ↗
Document IDV biometricsData sovereignty privacyCase studyGlobal

2 of 3 facts verified against the source · confidence medium · claude-haiku-5-5

Incode· 30 Sep 2026 L2 · Minor

A five-step process used by fraudulent remote job candidates, including identity fabrication, use of third-party recruiters, stage-managed interviews, obfuscated network footprints, and targeting of data-rich roles.

The hidden threat of fraudulent remote candidates and how they infiltrate your organization ↗

What happened

  • The article recommends strong remote-capable identity verification, such as NIST IAL2-style checks, before provisioning devices, VPN, or production access for sensitive roles.

Why it matters to Signicat

  • Remote candidate identity proofing with document and biometric checks overlaps with Signicat's document identity verification line, so the article raises demand for hiring-stage identity assurance.
  • The article is thought leadership with no original data and no named Incode product, so it signals positioning rather than a product or market move.
Evidence from the source (3 quotes)
  • “implement strong, remote-capable identity verification (e.g., NIST IAL2-style checks). Require this before provisioning devices, VPN, or production access.” source ↗
  • “implement strong, remote-capable identity verification (e.g., NIST IAL2-style checks)” source ↗
  • “What strikes me most from conversations with CISOs is how consistent the pattern is” source ↗
Document IDV biometricsFraud deepfake injectionThought leadershipGlobal

2 of 2 facts verified against the source · confidence medium · claude-haiku-5-5

Incode· 24 Sep 2026 L2 · Minor

Incode states that AAMVA launched Driver's License Data Verification (DLDV) 3.0.

US driver’s license verification is now powered by AAMVA DLDV 3.0 ↗

What happened

  • Incode states that DLDV 3.0 separates inconclusive answers from failures and reads street abbreviations and some name variants as matches.
  • Incode states that its GovDataMatch offering is now powered by DLDV 3.0 and that existing customers receive the changes by default in the coming weeks.

Why it matters to Signicat

  • Incode is extending its US government-record verification (GovMatch) in a market where Signicat's stated product lines do not list US DMV checks; relevance to Signicat's core Nordic/Benelux/DACH/Iberia/UK markets is limited.
Evidence from the source (3 quotes)
  • “Where the state holds no record for an attribute, or can't answer, the response now says so, and a missing attribute no longer has to mean a decline.” source ↗
  • “Existing GovDataMatch customers will see these changes applied by default in the coming weeks.” source ↗
  • “Incode customers have access to DLDV 3.0 via GovDataMatch, an offering within the GovMatch suite:” source ↗
Document IDV biometricsFeature updateGlobal

3 of 3 facts verified against the source · confidence high · claude-haiku-5-5

Incode· 22 Sep 2026 L2 · Minor

The author reports that a GenD detector, reporting 91.2% average cross-dataset AUROC on 14 academic benchmarks, dropped to just over 60% on Incode's identity verification data.

Why deepfake detection benchmarks fall apart on production data ↗

What happened

  • The author reports that Incode's labeling experiment found its current model had a lower error rate than the average of five expert labelers.
  • The author reports that Incode's few-shot adaptation cut its error rate on new generators roughly 10x.
  • The author states that Incode is building an agent-based system that scans for new generative models and tests its detector against their output.

Why it matters to Signicat

  • Vendor-reported internal metrics (AUROC drop, 10x error reduction) are uncorroborated; Signicat should not treat them as established. Relevant to document_idv_biometrics and fraud_deepfake_injection positioning.
  • Content frames deepfake detection as one part of agentic fraud and whole-capture-process defense, a narrative Signicat can compete on with its own fraud and orchestration offering.
Evidence from the source (5 quotes)
  • “Our current model had a lower error rate than the average labeler.” source ↗
  • “That cut our error rate on new generators roughly 10x, without hurting accuracy on the ones we already knew.” source ↗
  • “We are building an agent-based system that scans the internet for new generative models, evaluates whether they are capable of producing convincing face impersonations, figures out how to access them, and tests our detector against their output automatically.” source ↗
  • “That cut our error rate on new generators roughly 10x, without hurting accuracy on the ones we already knew.” source ↗
  • “deepfake detection becomes one piece of a much larger fraud problem, not the whole of it.” source ↗
Fraud deepfake injectionDocument IDV biometricsAgentic AI identityThought leadershipGlobal

4 of 4 facts verified against the source · confidence medium · claude-haiku-5-5

Incode· 16 Sep 2026 L3 · Notable

Incode describes Incode Digital ID Verification as one orchestration layer for accepting and validating mDLs from multiple wallets.

Verify US mobile driver's licenses from every wallet with Incode Digital ID Verification ↗

What happened

  • Incode states that it verifies a digital ID in about 4 seconds and that 98% of users clear on the first try.
  • Incode states it operates as its own certificate authority and registers directly as a verifier for certain wallet programs.

Why it matters to Signicat

  • Signicat's Wallet Hub and eID Hub compete for wallet-based acceptance; Incode frames mDL as a single integration alongside document IDV.
  • Vendor claims of 98% first-try clearance and 4-second verification are uncorroborated and not independently verified.
Evidence from the source (4 quotes)
  • “Incode verifies a digital ID in about 4 seconds, 98% of users clear on the first try” source ↗
  • “Incode operates as its own certificate authority, registering directly as a verifier for particular wallet programs.” source ↗
  • “Incode covers every supported wallet through one integration and delivers mDL acceptance inside the same platform as document verification, face match, and liveness” source ↗
  • “98% of users clear on the first try” source ↗
Reusable identity VCDocument IDV biometricsOrchestration platformFraud deepfake injectionData sovereignty privacyProduct launchFeature updateGlobal

3 of 3 facts verified against the source · confidence medium · claude-haiku-5-5

Incode· 14 Sep 2026 L2 · Minor

FinCEN and four federal banking agencies issued joint guidance on 8 September 2026 confirming that a mobile driver's license counts as government-issued ID for KYC checks when opening a bank account.

FinCEN confirms mobile driver's licenses are valid ID for KYC ↗

What happened

  • The guidance sets two conditions: institutions must have technology to extract credential fields, and the credential must be an allowable method under the institution's written CIP.
  • Incode states it accepts mDLs in the same verification flow as physical IDs and reads them to ISO/IEC 18013-5/-7.

Why it matters to Signicat

  • Regulatory guidance accepting mDLs for US CIP raises the bar for document-based onboarding vendors; Signicat's US exposure is not established in the supplied context.
  • Incode's claims on mDL acceptance are vendor-stated and uncorroborated; Signicat's core markets are Nordics, Benelux, DACH, Iberia and UK, not the US.
Evidence from the source (4 quotes)
  • “Two conditions apply. First, the institution must maintain the appropriate technology or systems to extract the relevant information from the credential” source ↗
  • “Incode accepts mobile driver's licenses in the same verification flow institutions already run for physical documents.” source ↗
  • “Joint guidance from FinCEN and the four agencies that supervise most US banks and credit unions removes that ambiguity” source ↗
  • “Incode reads mDLs to the ISO/IEC 18013-5/-7 international standards for mobile driver's licenses.” source ↗
Document IDV biometricsReusable identity VCEUDI wallet eIDAS 2Thought leadershipRegulatory commentaryGlobal

3 of 3 facts verified against the source · confidence high · claude-haiku-5-5

Incode· 10 Sep 2026 L2 · Minor

Incode Identity Verification for ServiceNow ITSM embeds a biometric verification widget in ServiceNow incident and service request forms.

How Incode Identity Verification for ServiceNow ITSM eliminates help desk fraud ↗

What happened

  • Agents send a verification link via SMS or email; the employee completes a liveness check and face match against a verified ID on file.
  • Verification results post back to the ServiceNow ticket automatically, with session ID, identity ID, timestamp and outcome logged.
  • The integration requires an active Incode Workforce account.

Why it matters to Signicat

  • Claims of defeating deepfakes and speed under two minutes are vendor-stated and unverified by independent evidence in the article.
Evidence from the source (4 quotes)
  • “They tap the link and complete a biometric liveness check and a face match against their verified ID on file” source ↗
  • “Every verification (pass, fail, or flagged for review) is logged in the ticket with a session ID, identity ID, timestamp, and outcome” source ↗
  • “The integration requires an active Incode Workforce account.” source ↗
  • “Results typically arrive in less than two minutes.” source ↗
Document IDV biometricsFraud deepfake injectionOrchestration platformDeveloper experienceFeature updateThought leadershipGlobal

4 of 4 facts verified against the source · confidence medium · claude-haiku-5-5

Loading more…