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The Department of Homeland Security is watching your bank account. And it’s making decisions about you before you’ve done anything wrong.
DHS runs what it calls the Border Patrol Predictive Intelligence Targeting Team — PITT, for short. The program pulls financial data, travel records, and behavioral patterns to flag people as potential criminals. No arrest. No charge. No specific crime identified first. Just an algorithm deciding you look suspicious. For anyone who moves money in ways that diverge from the ordinary — crypto traders, cross-border remittance users, small cash-heavy businesses — that’s a direct threat to financial privacy.
Not theoretical. Documented.
Two Cases That Show How This Works
Kyle William Olson got stopped in Montana. DHS’s PITT team had flagged him based on what an internal memo called “financial activity patterns” linked to drug activity. Marijuana was found in his car, so law enforcement probably felt vindicated. But the deeper problem didn’t go away: why was Olson’s financial activity being monitored before any specific crime was on the table? The memo never clarified what data sources PITT used or how the pattern-matching actually worked. It’s murky. And that’s the point — the opacity is built in.
Alek Schott’s case is maybe even more troubling. He was stopped for erratic driving. His vehicle was searched. No drugs found. But his travel had been tracked through license-plate scans, and that surveillance fed into the stop. Schott filed a lawsuit against Bexar County, alleging Fourth Amendment violations. The case is a pretty clear example of predictive tools being used to justify stops that wouldn’t otherwise pass legal muster.
These aren’t isolated glitches. They’re the system working as designed.
FinCEN’s Role and the Bank Secrecy Act
A big chunk of this surveillance runs through the Financial Crimes Enforcement Network — FinCEN. Under the Bank Secrecy Act, financial institutions are required to report large or suspicious transactions. The stated goal is fighting money laundering. But FinCEN shares that data with federal agencies, and DHS is almost certainly one of them. That means your bank’s routine compliance filing can feed a predictive profile that gets you stopped on a highway in Montana.
The scope of what financial data can reveal is vast. Spending habits, political donations, travel patterns, religious affiliations — it’s all potentially visible. Critics have long argued that financial surveillance of this kind doesn’t just catch criminals. It catches everyone, and then sorts people into risk categories based on criteria nobody’s made public.
Historical parallels aren’t comforting. Canada used financial controls to freeze accounts linked to the 2022 trucker protests. China uses financial surveillance as a tool of political suppression. Those are extreme cases, sure. But the architecture is the same: centralized financial data, government access, discretionary enforcement.
In California, local police departments have reportedly pulled energy consumption records to identify illegal marijuana cultivation. Innocent people got swept up. The pattern keeps repeating — data collected for one purpose gets repurposed, often without any judicial check, and people face scrutiny they never saw coming and can’t easily challenge.
That’s the core problem. There’s no clear line between legitimate anti-money-laundering work and blanket financial surveillance. And right now, there’s basically no mechanism forcing agencies to show their work.
Civil Liberties vs. Security: The Ongoing Fight
The tension here isn’t new. Law enforcement has always wanted more data. Civil liberties advocates have always pushed back. What’s changed is the scale. Algorithmic tools can now process millions of financial records and spit out a target list faster than any human analyst could. And the faster that happens, the harder it is to audit, challenge, or even understand.
Political groups on both sides have been caught in these nets. Conservative groups, liberal groups — financial surveillance doesn’t really care about ideology. It flags patterns. And patterns can be wrong, or manipulated, or just badly designed.
Critics are calling for judicial oversight before sensitive financial data gets handed to law enforcement for predictive purposes. Congress could mandate that. It hasn’t yet. Some legal scholars think existing Fourth Amendment protections should already cover this, but courts have been slow and inconsistent in applying those protections to third-party financial records.
Schott’s lawsuit against Bexar County is still one of the few direct legal challenges to how this data gets used on the ground. No details yet on how that case resolves.
The calls for transparency keep getting louder. DHS hasn’t published the methodology behind PITT. FinCEN hasn’t clarified exactly which agencies receive which data under which circumstances. And the financial activity patterns that got Kyle Olson flagged in Montana remain undefined in any public document.
Frequently Asked Questions
What is DHS’s PITT program?
PITT stands for Border Patrol Predictive Intelligence Targeting Team, a DHS unit that uses financial activity patterns and other data to flag individuals as potential criminal suspects before any specific crime is identified.
How does FinCEN connect to predictive policing?
FinCEN collects financial transaction reports from banks under the Bank Secrecy Act and shares that data with federal agencies, including likely DHS, which can use it to build predictive profiles on individuals.
Why It Matters
The DHS's surveillance of financial activities, particularly in the context of cryptocurrency transactions, raises significant concerns about privacy and civil liberties for users. As crypto adoption continues to grow, the reliance on algorithmic decision-making to label individuals as suspicious can lead to unwarranted scrutiny and potential discrimination, undermining confidence in both traditional and digital financial systems. This scrutiny may deter individuals from engaging with cryptocurrencies, stifling innovation and participation in the burgeoning digital economy.
