Incode Among Two Systems to Meet Multiple DHS S&T Goals in RIVR Track 2 Document Validation
Incode
February 24, 2026•
February 24, 2026•
The U.S. Department of Homeland Security (DHS) Science and Technology Directorate (S&T) recently released final results from Track 2 of the Remote Identity Validation Rally (RIVR), the Document Validation track of its large-scale evaluation designed to assess how well industry solutions verify identities remotely under real-world conditions.
Of the systems evaluated, only two met at least two of the three DHS S&T performance goals, and Incode was one of them. This result builds on Incode's top performance in Track 1, where Incode was one of five systems to meet DHS S&T performance goals in the Selfie Match to Document track. Read more here.
In the published results, Incode is identified as DVS 5. Full results are available through the Maryland Test Facility at mdtf.org/rivr/Results.
Incode's performance was driven by its industry-leading Document False Reject Rate of 0.60%, a system error rate below 1 percent, and demonstrated performance flexibility across operating thresholds evaluated by DHS.
The Remote Identity Validation Rally is a rigorous, independent, multi-stage evaluation led by DHS Science and Technology to assess the accuracy, security, and robustness of remote identity verification technologies.
The program is structured across three tracks:
This article focuses on Track 2, the Document Validation track.
Track 2 evaluated how effectively commercial systems determine whether a state-issued driver's license or ID is genuine using images captured on common smartphones.
The evaluation included:
Systems were measured using core industry metrics:
Together, these metrics assess fraud detection performance, user friction, and system reliability.
Incode's document validation solution demonstrated one of the strongest overall performances in Track 2, meeting multiple DHS performance goals and achieving the lowest Document False Reject Rate among all evaluated systems.
Incode's Document False Reject Rate was reported as 0.60%, making it the only evaluated system to achieve a DFRR below 1 percent.
A low DFRR reduces unnecessary rejection of legitimate users. For organizations operating at scale, minimizing friction while maintaining fraud protection is essential to delivering secure and usable digital experiences.
Document validation systems operate using configurable decision thresholds that balance fraud detection and user experience. Adjusting these thresholds shifts the relationship between false accepts and false rejects. Tightening security typically increases friction for legitimate users, while reducing friction can raise fraud exposure. Incode's solution is designed to perform strongly across this tradeoff, giving organizations meaningful flexibility without sacrificing reliability.
Incode's configuration in the Rally prioritized minimizing false rejects, resulting in its industry-leading DFRR of under 0.60% and a system error rate below 1 percent, optimized for deployments where legitimate user experience is a critical operational requirement.
At the default operating threshold used in the evaluation, Incode's Document False Accept Rate was reported as 13.79 percent, a direct reflection of that configuration choice. DHS evaluated performance across multiple thresholds using Detection Error Tradeoff analysis, and Incode's results demonstrated operating points capable of meeting stricter DFAR targets while maintaining strong discrimination between genuine and fraudulent documents. DHS noted that alternative default thresholds would have produced significantly better DFAR outcomes.
This flexibility allows organizations to tune Incode's document validation performance to align with their specific risk tolerance, regulatory requirements, and operational needs.
Remote identity systems must perform consistently across a wide range of devices and issuing authorities.
Incode demonstrated stable error rates across smartphone models and document types, reflecting robustness under varied capture conditions. Consistency under real-world variability is critical for both government and commercial deployments.
The DHS performance goals are intentionally stringent. Meeting them requires strong fraud detection, low false rejection rates, high system reliability, and consistent performance across varied testing conditions.
Independent evaluations such as RIVR provide objective insight into how identity technologies perform under standardized government testing. Strong performance across multiple benchmarks signals balanced system design and real-world deployment readiness.
Track 2 represents the second stage of the broader DHS Remote Identity Validation Rally program. Track 3 focuses on biometric spoof and presentation attack detection, addressing increasingly sophisticated identity threats. This track record builds on Incode's results in Track 1, where Incode was one of five systems to meet DHS S&T performance goals in the Selfie Match to Document track. Read more here.
Independent evaluations like RIVR play an important role in strengthening transparency and trust across the remote identity ecosystem.
Incode continues to participate across RIVR tracks as DHS advances its multi-stage evaluation framework, reinforcing its commitment to delivering secure, reliable, and high-assurance identity verification capabilities at scale.
If you’d like to learn more about how Incode applies these capabilities across workforce identity, digital onboarding, and high-risk authentication flows, contact the Incode team.
Incode was named a Leader in the 2025 Gartner® Magic Quadrant™ for Identity Verification. Download the report.
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