The U.S. Congress has passed the “One Big Beautiful Bill” (H.R. 1), setting in motion an unprecedented expansion of biometric surveillance and artificial intelligence systems at American borders and beyond. The legislation, now awaiting President Trump’s signature during Independence Day celebrations, marks the largest investment in border security technology in U.S. history, with roughly $21 billion earmarked specifically for border modernization projects within a much larger budget package.
The measure passed by narrow votes in both chambers, with the Senate approving it 51-50 through Vice President J.D. Vance’s tie-breaking vote, followed by House passage at 218-214. Among the bill’s major allocations is $673 million for expanding biometric entry-exit systems across all ports of entry, aiming to speed up processing while tightening security checks.
Central to the legislation is $2.766 billion dedicated to border surveillance technology, funding the deployment of Autonomous Surveillance Towers (ASTs) equipped with artificial intelligence for facial recognition, gait analysis, and vehicle identification. These systems will expand the Department of Homeland Security’s biometric holdings, which already contain records for approximately 290 million individuals. Notably, the bill also authorizes $1.076 billion for handheld biometric devices used alongside truck and cargo screening technologies, signaling that even commercial shipments will face new levels of biometric scrutiny.
Beyond border checkpoints, the legislation extends biometric monitoring into domestic transportation corridors, funding surveillance along highways and Amtrak routes near the border. Civil-liberties advocates warn this could increase government tracking of travelers who are far from official ports of entry, raising new privacy debates.
H.R. 1 allocates $5.2 billion to modernize Immigration and Customs Enforcement (ICE), with about half of that total focused on AI and biometric systems. This includes expanding the Mobile Fortify application, which enables deportation officers to perform real-time facial and fingerprint checks against federal databases while in the field. The legislation also promotes integration of DHS biometric systems with Department of Justice criminal databases, enabling expanded searches accessible to state and local law enforcement.
States will receive $12 billion in border security reimbursements, including support for existing biometric initiatives. Texas, Arizona, and Florida have already implemented RAPID DNA and iris-scanning technologies. Additionally, the bill quietly introduces incentives for states to adopt biometric screening in Medicaid, tying certain future federal matching funds to the use of enhanced identity verification tools, potentially including facial or voice biometrics.
Other federal agencies are affected as well. The Department of Defense is slated to receive $400 million for AI-driven base security systems, focusing on facial and iris recognition technologies at military installations. Meanwhile, the General Services Administration and the National Institute of Standards and Technology are directed to conduct pilot programs for advanced remote identity verification technologies.
While the bill’s backers argue these investments are crucial for national security and efficiency, privacy advocates such as the ACLU and the Electronic Frontier Foundation have voiced deep concerns. They warn about biometric systems being used in settings where individuals have limited ability to opt out, citing longstanding worries about racial bias and potential misuse of personal data. The bill includes language prohibiting federal agencies from purchasing autonomous towers or biometric devices that have not passed rigorous federal testing, seeking to address some of these concerns.
DHS must submit detailed spending plans within 45 days of the law’s enactment and is required to ensure biometric exit capabilities at all major land ports of entry by September 2026, or it risks losing portions of its funding.
Source: Identity Week
–
By the ID Tech Editorial Team
