Beyond the Flock Backlash: Rekor Publishes Privacy and Evidence Architecture for Responsible Vehicle Recognition

About this update from Rekor Systems, Inc.

New white paper outlines a practical framework to preserve the public-safety value of license plate recognition while addressing privacy, retention, auditability, data-sharing, and evidence-integrity concerns COLUMBIA, Md., July 08, 2026 (GLOBE NEWSWIRE) -- Rekor Systems, Inc. (NASDAQ: REKR) ("Rekor" or the "Company"), a technology company developing trusted-data, privacy, security, and intelligence solutions for real-world transportation, public-safety, video, and sensor networks, today published a new white paper outlining Rekor's Privacy and Evidence Architecture for Responsible Vehicle Recognition. The white paper is available here: ALPR AND PRIVACY: A practical framework for preserving public-safety value while reducing unnecessary privacy risk As capabilities have expanded over the last decade, automated license plate recognition ("ALPR") and vehicle recognition technologies have become increasingly important tools for public safety. They can help agencies locate stolen vehicles, support Amber and Silver Alerts, identify wanted vehicles, protect critical infrastructure, and provide critical assistance for time-sensitive investigations. At the same time, a growing national backlash against ALPR has become impossible to ignore. Public reporting, litigation, advocacy campaigns, and online discussion, much of it involving Flock Safety, have turned ALPR into a broader debate about the surveillance state, data sharing, retention, auditability, accuracy, and public trust. Rekor believes the future of vehicle recognition should not be framed as an all-or-nothing fight. The better question is whether a model can be developed that preserves legitimate public-safety uses while protecting the privacy of ordinary citizens. "ALPR has proved its value over many years of responsible use," said Robert A. Berman, Chair and Chief Executive Officer of Rekor Systems. "It's an indispensable tool for public safety. But legitimate issues are being raised around privacy, proper mechanisms for both data retention and sharing, auditability, and evidentiary trust. At Rekor, we believe these issues can be addressed thoughtfully and directly through better architecture." Rekor's white paper outlines a three-part framework designed to help align public-safety and civil-liberties concerns more closely: 1. Protect non-relevant data by default Information concerning a vehicle that isn't on a hotlist, wanted list, Amber or Silver Alert list, or other legally authorized investigative list does not have to be treated the same way as information that is relevant to a public-safety event. Rekor believes responsible vehicle recognition systems should protect the privacy of ordinary drivers by default while preserving authorized public-safety uses and has designed its systems accordingly.

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