In their detailed investigative piece, Associated Press reporters Byron Tau and Garance Burke say the U.S. Border Patrol is no longer just watching the border.
Instead, they report that Border Patrol now runs a secretive predictive intelligence program that tracks millions of American drivers across the country.
Tau and Burke explain that a nationwide network of license plate reader cameras scans cars, logs plates, and feeds the data into an algorithm.
That algorithm flags “suspicious” travel patterns based on where drivers came from, where they’re going, and which roads they used.
Once a vehicle gets flagged, Border Patrol can quietly tip off local police.
Then, the driver gets pulled over for something minor – speeding, lane drift, a bad tint job, even a dangling air freshener.
To the driver, it looks like a routine traffic stop.
But Tau and Burke report that in reality, it started with a federal surveillance system deciding their travel looked wrong.
How A Border Program Became A Nationwide Dragnet
Tau and Burke trace this system back roughly a decade, when it was sold as a tool to fight drug and human trafficking near the borders.
Over the last five years, they report, it has grown into something much bigger and far more domestic.
They describe Border Patrol’s parent agency, U.S. Customs and Border Protection (CBP), edging into the role of a domestic intelligence operation.
CBP now ties its own cameras to plate readers run by the Drug Enforcement Administration, private vendors, and local agencies funded with federal grants.
Tau and Burke say the cameras line highways in Texas, Arizona, and California, but also reach deep into the interior.
They found readers in the Phoenix metro area more than 120 miles from the Mexican border, in Detroit, and even near the Michigan–Indiana line to capture traffic headed toward Chicago and Gary.
The focus, they write, is no longer just people sneaking over a line in the desert.
It’s cars everywhere – your daily commute, a weekend road trip, or a one-off drive near the border region.
To be fair, CBP told the AP it uses these tools to “identify threats and disrupt criminal networks” and says the system is governed by law and internal policies.
But Tau and Burke also note that when the agency is pushed for details, it hides the specifics behind “national security reasons” and fights hard to keep the program out of court records.
Whisper Stops And Local Police Buy-In
Tau and Burke describe how this digital dragnet becomes real-life police contact.
Once Border Patrol decides a vehicle is suspicious, federal agents pass the info to local cops in something they call “whisper,” “intel,” or “wall” stops.
The idea, according to the AP’s reporting, is to wall off the true origin of the tip.
Local officers pull the car over for an ordinary traffic violation so no one knows it started with a federal algorithm.
In one case, Tau and Burke say a truck driver named Lorenzo Gutierrez Lugo was driving south toward Brownsville, Texas, hauling belongings for families in Mexico.
Border Patrol tagged his vehicle, and a local officer in Kingsville pulled him over for going 50 in a 45.
The officer, Richard Beltran, grilled him about his route and searched the truck with Border Patrol’s help.
They found no drugs or contraband — just thousands of dollars in cash customers had paid for transport, according to his boss Luis Barrios.
Barrios told the AP he does everything by the book and hires workers with legal status.
Still, Gutierrez Lugo was arrested on suspicion of money laundering, and Barrios says he spent around $20,000 clearing his driver and getting his trailer back.
In another case, Tau and Burke report that Alek Schott, a Houston motorist, was stopped outside San Antonio after Border Patrol flagged his travel pattern.
Bexar County Deputy Joel Babb admitted in a deposition that he was in a WhatsApp group chat called “Northwest Highway” with Border Patrol agents monitoring travel patterns.
The AP obtained over 70 pages of those chats, showing agents and deputies trading live tips about cars, routes, social media profiles, and even driver’s license photos.
Sometimes the suspicion was based on nothing more than a quick trip near the border or an unusual one-night route.
That’s where this stops being “border enforcement” and starts feeling like nationwide fishing expeditions.
From a civil-liberties standpoint, using local police as the visible tip of an invisible federal spear is exactly the kind of thing courts are supposed to watch closely.
Patterns Of Life: When An Algorithm Decides You Look Suspicious
Tau and Burke explain that Border Patrol’s system doesn’t just log single trips.
It builds what CBP officials call “patterns of life” – long-term profiles of where vehicles tend to go.
Cameras capture plates, sometimes driver faces, and feed that into the central system.
Over time, an algorithm looks for “abnormal” behavior, like avoiding checkpoints, taking back roads, or making quick turnarounds near border areas.
One former CBP official told the AP that this is basically a high-tech version of an old-school hunch.
But instead of one agent’s instincts, it’s a computer scanning millions of movements and quietly flagging anomalies.
Tau and Burke also report that Border Patrol has tapped into plate-reader vendors like Rekor, Vigilant Solutions, and Flock Safety.
Through Flock alone, they say, the agency for a time could query around 1,600 cameras in 22 states.
Legal scholars quoted by the AP, like Andrew Ferguson of George Washington University, warn that this kind of large-scale tracking raises Fourth Amendment issues.
At some point, continuous monitoring of everyone starts to look less like “observing public roads” and more like mass warrantless surveillance.
Civil liberties advocate Nicole Ozer told the AP that this is dragnet surveillance of ordinary Americans “on the streets, on the highways, in their cities.”
She argues it doesn’t make communities safer — it just hands government an enormous amount of data about people who’ve done nothing wrong.
That’s the core problem: once you normalize scanning everyone, all the time, the default flips.
Instead of government needing a reason to look at you, you have to hope the algorithm never decides your life pattern looks wrong.
From Courtroom To YouTube: How The Scheme Was Exposed
Attorney and YouTuber Steve Lehto, on his show Lehto’s Law, tells his viewers that this AP investigation only came to light because of a lawsuit.
He credits the Institute for Justice (IJ) and its client Alek Schott for forcing details into the open.
Lehto explains that Schott was pulled over for allegedly “drifting between lanes,” even though his dashcam shows he didn’t.
When Schott refused a search, deputies called in a drug dog, claimed it alerted, and then tore apart his truck, finding nothing but leaving thousands of dollars in damage.
According to Lehto, IJ suspected this wasn’t just a random traffic stop.
Through litigation, Schott’s lawyers uncovered the WhatsApp group linking local deputies to Border Patrol’s surveillance feeds.
Lehto says a forensic tech recovered deleted messages that showed federal agents watching Schott’s movements in real time – from his hotel 80 miles from the border, to his meeting, and back home.
Those messages are now part of the public record because IJ fought off efforts to keep them secret, Lehto tells his audience.
He points out that more than 6,000 cities now use automated plate readers, often paired with AI tools.
That means most Americans are being logged almost every time they drive, whether they realize it or not.
Lehto describes this as a “system of mass surveillance that threatens people’s freedom of movement,” echoing language from the Institute for Justice and the AP’s findings.
He openly urges viewers to follow IJ’s work, support them if they can, and at least stay informed on how this tech is being used.
What’s striking in Lehto’s coverage is how normal his examples sound.
It’s not “spy thriller” stuff – it’s business trips, holiday drives, and daily errands that now run through federal databases by default.
Why This Matters For Ordinary Drivers
Tau and Burke’s reporting shows that Border Patrol and its partners don’t just watch smugglers and cartel players.
They watch everyone who happens to cross their digital nets and then decide who looks “off” enough to get a closer look.
Lehto adds that local officers are often fishing for cash or property they can seize under civil forfeiture laws.
That’s why so many of these stops end with searches and attempts to take vehicles or money, even when no crime is charged.
From a constitutional perspective, this is exactly the slippery slope people have been warning about since plate readers and AI analytics first appeared.
First it’s about the border. Then it’s about smuggling routes. Then it’s about “odd” patterns anywhere.
Put bluntly, this is a team effort between federal agents and local cops to watch how everyone drives and then act whenever the data says, “That trip looks weird.”
You don’t get notified when you’re flagged. You don’t get a chance to challenge the surveillance. You only find out when the lights hit your rearview mirror.
My own view is that this kind of system might occasionally catch real criminals — but it quietly rewrites the rules for the rest of us.
Driving to a border town, taking a back road, or making a short turnaround shouldn’t be enough to put you into a hidden suspicion file.
As Alek Schott told the AP, “I didn’t know it was illegal to drive in Texas.”
The scary part is that in a data-driven world like this, it doesn’t have to be illegal – it just has to look unusual to someone else’s software.
That’s why the work described by Tau, Burke, Lehto, and the Institute for Justice matters so much.
If nobody pushes back, the line between targeted policing and constant surveillance disappears, one license plate scan at a time.
Mark grew up in the heart of Texas, where tornadoes and extreme weather were a part of life. His early experiences sparked a fascination with emergency preparedness and homesteading. A father of three, Mark is dedicated to teaching families how to be self-sufficient, with a focus on food storage, DIY projects, and energy independence. His writing empowers everyday people to take small steps toward greater self-reliance without feeling overwhelmed.
