Secretive DHS ‘Predictive Policing’ Unit Analyzed Financial Data to Target Drivers, Report Finds

404 Media identifies Border Patrol ‘Predictive Intelligence Targeting Teams’ operating in Washington and Texas

edit
By LineZotpaper
Published
Updated
Read Time2 min
Sources2 outlets
Border Patrol has been running secretive predictive policing units that analyze Americans’ financial activity and other data, then feed the intelligence to local police who pull over drivers not suspected of any specific crime, 404 Media reported Tuesday. The units, called Predictive Intelligence Targeting Teams (PITT), have operated in the Spokane Sector along the Canadian border and the Laredo Sector along the Mexican border.

According to 404 Media’s investigation, the teams analyze a person’s financial habits, movements and other data, then pass that information to local law enforcement, which finds another pretense to make a traffic stop. In one case, police in Montana stopped a man driving a black Chevy SUV on Interstate 90, telling him his license plate was obstructed, and ultimately charged him with a DUI. The man, Kyle William Olson, told 404 Media he was transporting marijuana products from a licensed cannabis farm in California to his home in Wisconsin. Police reports and bodycam footage show the officer cited the plate as “the reason for stopping you.”

The report builds on an Associated Press investigation from last year that found Border Patrol had used automatic license plate readers as part of the same wide-spanning predictive policing program. Predictive policing is a controversial practice in which law enforcement uses data analysis to identify people who may have committed crimes even before there is evidence against them.

“The bottom line is genuine probable cause cannot be synthetically generated,” said Jake Laperruque, deputy director of the Security and Surveillance Project at the Center for Democracy & Technology. He said the approach appears to use “parallel construction to cloak the reason behind its car stops in secrecy,” adding, “If we can’t meaningfully review and evaluate these systems, we can’t trust them.”

§

Analysis

Why This Matters

  • The report suggests federal agencies are using financial data and other personal information to flag Americans for stops despite no specific suspicion of a crime.
  • If predictive intelligence is shared with local police, it raises concerns about Fourth Amendment protections and the use of so-called parallel construction.
  • The existence of PITT teams was previously undisclosed, highlighting a broader lack of transparency about border surveillance programs.

Background

Predictive policing has long been controversial. Agencies typically analyze patterns in data — such as movement, location, or driving routes — to identify people they believe may be involved in crime, even without direct evidence. Critics have warned that this approach can rely on biased data and create pretexts for stops that sidestep constitutional protections. Parallel construction, a related practice, involves using an innocent or unrelated pretext to justify a stop when the real reason comes from surveillance or intelligence that authorities do not want to reveal.

Key Perspectives

Law enforcement and border agencies: Data-driven targeting is likely framed as an efficiency and public-safety tool, helping officers interdict drugs, contraband, and illegal activity without random stops. Civil liberties advocates: Jake Laperruque and others argue that predictive analysis cannot replace probable cause, and that secretive systems undermine public trust and meaningful oversight. Critics and skeptics: The AP’s earlier findings and the new 404 Media report suggest such programs may already be widespread, with little published evidence that they reduce crime in a way that justifies their privacy costs.

What to Watch

  • Whether DHS or Border Patrol responds publicly to the 404 Media findings or confirms the existence of PITT teams.
  • Any new Freedom of Information Act requests or legal challenges seeking details on how financial data is obtained and shared.
  • Whether the Montana case leads to litigation over the stop and the broader use of predictive intelligence in traffic enforcement.

Sources

newspaper

Zotpaper

Articles published under the Zotpaper byline are synthesized from multiple source publications by our AI editor and reviewed by our editorial process. Each story combines reporting from credible outlets to give readers a balanced, comprehensive view.