DHS Launched Second Phase of Identity Testing Program
The RIVR-2 program expands biometric evaluation as the agency releases results from previous identity testing cycles.
Updated on Oct. 5, 2026 in Cybersecurity
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The Department of Homeland Security Science and Technology Directorate has officially announced the RIVR-2 program following the release of performance data from its predecessor. The testing initiative aims to improve remote identity verification defenses against evolving AI-generated threats.
Why it matters
The program addresses security gaps identified in RIVR-1, where nearly one-quarter of legitimate users failed to complete remote workflows. These evaluations help defenses evolve to counter increasingly sophisticated real-time impersonation and document fraud.
Testing during the first cycle showed a 99.99 percent impostor detection rate for selfie matching, while presentation attack detection systems successfully identified 53 percent of the most advanced attempts. RIVR-2 now requires participants to contribute 1,000 deepfake images for experimental evaluation.
The players
Department of Homeland Security Science and Technology Directorate
This federal agency component conducts research and development to enhance the security and resilience of national critical infrastructure.
The details
The program utilizes sequestered datasets of genuine and fraudulent documents to benchmark performance at a Maryland testing facility. DHS plans to transition toward twice-yearly evaluations and intends to associate specific company names with performance results starting with the third cycle.
Timeline
September 21, 2026: DHS announced the RIVR-2 program.
September 30, 2026: A technical webinar provided detailed RIVR-1 performance data.
October 16, 2026: The application deadline for identity document validation and selfie matching tracks.
November 20, 2026: Systems are due for testing submission.
2027: Testing continues for presentation attack detection and biometric deepfake tracks.
The Tech Race
The RIVR-2 initiative leverages the Maryland Test Facility to maintain a competitive baseline for identity security in an era of rapid AI proliferation. This formal benchmarking positions the government to replace static security measures with dynamic detection technologies that evolve alongside generative AI capabilities.
As federal agencies refine these identity verification standards, consumers can expect remote login processes to become more robust and secure against impersonation. However, the high failure rates for legitimate users in previous tests suggest that ongoing technical optimization remains necessary to ensure these security tools remain user-friendly.
The takeaway
The transition to more frequent evaluations suggests that national security standards are accelerating to keep pace with deepfake technology. Users should stay informed about evolving digital identity requirements as these systems become more common in high-security online transactions.
Further reading
Learn more about federal cybersecurity efforts on our Cybersecurity page.
Source note: This article includes information reported by Biometric Update.
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