A Secretive DHS ‘Predictive Policing’ Unit is Analyzing Americans’ Financial Habits and Pulling Them Over

Read the original at 404 Media ↗
Cite

Cox, J. (2026, September 8). A Secretive DHS ‘Predictive Policing’ Unit is Analyzing Americans’ Financial Habits and Pulling Them Over. 404 Media. https://www.404media.co/a-secretive-dhs-predictive-policing-unit-is-analyzing-americans-financial-habits-and-pulling-them-over/

Dated when The Aporia collected the article, usually within hours of publication. Check the original for its exact date and byline.

404 Media · collected 2026-09-08 · by Joseph Cox

Quick Summary

Border Patrol has secretive "predictive policing" units that analyze Americans' financial activity and other data to identify potential targets for searches, without specific suspicion of a crime. These units, whose names were revealed by 404 Media, feed their intelligence to local police who then pull people over for investigation. The analysis is based on unspecified criteria and does not appear to rely on individual warrants or probable cause. Local police are using this information to stop drivers who have not committed any known crimes.
Written locally by qwen2.5:14b on 2026-09-09, using this article's own text rather than the other coverage of the same event (that is the story summary below).

AI analysis runs on qwen2.5:14b, locally

Story summary

The Department of Homeland Security's (DHS) Predictive Intelligence Targeting Teams (PITT) are secretly analyzing Americans' financial habits and other data to identify potential targets for police stops. At least two PITT units have been identified, one in the Spokane Sector in Washington state and another in Laredo, Texas. According to 404 Media's investigation, these teams feed their intelligence to local authorities, who then stop drivers without probable cause, often under pretextual reasons such as an obstructed license plate. For example, a driver was pulled over in Montana after his financial activity was analyzed by a PITT and charged with a DUI. Critics argue that this use of mass surveillance and predictive policing is a recipe for tyranny, as it allows the government to target individuals without suspicion or probable cause.

Written for “DHS Predictive Policing Unit” on 2026-10-24, grounded in this article and the 0 other(s) covering the same event.

Story

📰 DHS Predictive Policing Unit
Crime & Law · 1 article(s) covering the same event.

Compared with similar articles

This article reads leans left and hedges 33% of its claims. Each row says how that neighbour differs.
The Markup
⚖️ Leans left 🔴 14% hedged 12 of 87 📰 publisher trust 94
“Article A describes a discovery on California's border, while Article B discusses predictive policing units in Montana”
404 Media
⚖️ Leans left 🔴 26% hedged 10 of 39 📰 publisher trust 95
“Article A describes an incident in May 2025 where a woman's financial activity was searched, while Article B mentions a different case involving a man driving across Montana with no mention of the original event”
The Intercept
⚖️ Leans left 🔴 14% hedged 9 of 63 📰 publisher trust 97
“The articles describe two separate incidents involving different agencies (ICE and DHS/Border Patrol) with distinct activities (hiding identities of agents vs. analyzing financial habits for predictive policing)”
404 Media
⚖️ Leans strongly right further right than this 🔴 5% hedged 2 of 43 📰 publisher trust 95
“Article A discusses Flock's webinar on surveillance capabilities, while Article B reports on a separate predictive policing unit called PITT analyzing financial habits and pulling people over for no reason”
Fox News
⚖️ Leans right further right than this 🔴 7% hedged 2 of 28 📰 publisher trust 67
“Article A discusses potential surveillance risks in general, while Article B reports on a specific case of predictive policing units pulling people over”
Reason
⚖️ leaning not scored 🔴 8% hedged 4 of 51 📰 publisher trust 67
“Article A mentions a bill called the Flock-Off Act aimed at regulating ALPRs, while Article B reports on secretive DHS units analyzing financial habits and pulling people over”
The Guardian
⚖️ Leans left 🔴 12% hedged 4 of 33 📰 publisher trust 66
“Article A discusses bipartisan backlash against Flock Safety cameras, while Article B reveals a secretive DHS unit called PITT that analyzes financial activity and pulls people over without suspicion”
404 Media
⚖️ leaning not scored 🔴 0% hedged 0 of 6 📰 publisher trust 95
“Article B describes a podcast discussing the secretive predictive policing units, whereas Article A is an investigative report revealing their existence and activities”
How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
3
sentences that state something as happening or true
Uncertain
33%
1 of 3 hedged ("reportedly", "may", "according to")
Leaning
Leans left
of the writing, not the subject · beta estimate
Publisher signals
95/100
404 Media's corrections and hedging, across everything collected from it. Not a measure of accuracy.
Outlets on this story
1
Crime & Law
Same framing elsewhere
1
articles that frame the event the way this one does
Analyzed 2026-09-09 · source text last changed 2026-09-09 · how these are computed

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

404 Media · 155 article(s) · 0 correction(s) detected
No corrections detected for this publisher. That may mean careful reporting, or simply that nothing has been checked.

Who wrote this

Joseph Cox
25 article(s) here · 1 carrying a prediction
🔮 A letter written by Telegram, and providing a specific user’s phone number, user ID, and IP address, reads: Dear Sir or Madam, For this particular case, the following information was available: User #7149269705 : +201155664529 [Mahmoud Almohtadi] IP 184.186.72.239, 8 Oct 2025 2:08:12 We hope this information will be helpful in your investigation. Kind regards, The Telegram Team The letter says Telegram provided the data “voluntarily” and that by providing it, Telegram is “not conceding that we are subject to U.S. jurisdiction for this or any other request or any purpose.”
🔮 This is pretty normal in the advertising world, but I seriously doubt that when most of ChatGPT’s many, many users see an ad, they realize that might be because someone, somewhere, uploaded their phone number into OpenAI’s systems.
2026-10-15 · assertive framing · ChatGPT Ads Target Your Phone Number, Email
🔮 Multiple Democrat, Republican, and Independent lawmakers have introduced new pieces of legislation that, if passed, would dramatically curb federal agencies’ access to Flock cameras, with the lawmakers referencing reporting by 404 Media in their explanations for why the legislation is needed.
🔮 Although any potential damage will be less if ShinyHunters doesn’t publish the data publicly, the theft happening at all still presents much of those same national security risks, with the data providing granular insight into how the FBI operates. “Since the very beginning we had made our decision that we would never publish this data.
🔮 What is different in this latest Copilot episode, and 404 Media’s reporting on contractors at other AI companies like OpenAI, is that the content humans are reviewing are prompts and uploads that chatbot users may assume are private, and that the contractors are not looking at this material to train the models to filter out offensive images or for some other safety concern.
🔮 And the ALPR Hostlist Management Audit report details changes made to alerts the agency may receive.
🔮 Georgia State University has rescinded a job offer given to a high profile activist who is currently fighting a case in which he allegedly wiped a security-focused Android phone before Customs and Border Protection (CBP) could search it.
🔮 The prompts these people review can include whole conversations between users and the chatbot, conversations that most of ChatGPT’s more than 900 million users probably don’t realize may be read by actual people.
🔮 Apparently over the cross of that source and interviewer relationship, Biden “asked if he could use our mailing list whenever he launched a new product,” according to a statement posted by Channel 5 to X on Monday.
🔮 Border Patrol is running secretive predictive policing units that analyze Americans’ financial activity and other data, then feed that intelligence to local police who pull people over who are not suspected of any specific crime, but which the government thinks may be worth searching, 404 Media has found.
Also by Joseph Cox
Nothing else under this byline is closely related to this article, so these are simply their most recent.
All 25 articles by Joseph Cox →

Topics

404 Media Americans Border Patrol Border Patrol's DHS

Subjects

404 Media ORG · 2× Americans NORP · 2× DHS ORG · 2× Border Patrol ORG · 1× Border Patrol's ORG · 1×

Narrative

DHS A Secretive DHS ‘Predictive Policing’ Unit is Analyzing Americans’ Financial Habits and Pulling Them Over 404 Media is revealing the name of Border Patrol's predictive policing units, which analyze financial data and have local cops pull people over.
framing: mixed · carried by 1 article(s) · first seen 2026-09-09
🔮 Border Patrol is running secretive predictive policing units that analyze Americans’ financial activity and other data, then feed that intelligence to local police who pull people over who are not suspected of any specific crime, but which the government thinks may be worth searching, 404 Media has found.

Claims (3 extracted, 1 hedged)

Border Patrol is running secretive predictive policing units that analyze Americans’ financial activity and other data, then feed that intelligence to local police who pull people over who are not suspected of any specific crime, but which the government thinks may be worth searching, 404 Media has found. uncertain
Media → run → crime
DHS A Secretive DHS ‘Predictive Policing’ Unit is Analyzing Americans’ Financial Habits and Pulling Them Over 404 Media is revealing the name of Border Patrol's predictive policing units, which analyze financial data and have local cops pull people over. asserted
cops → analyze → people
The people are not suspected of any particular crime. asserted
people → suspect → crime
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