DHS Predictive Policing Faces Rights Backlash

What to Know

The U.S. Department of Homeland Security has been aggregating Americans’ financial activity data and using it to provide local law enforcement with tips about potential criminal conduct.
The practice is part of predictive policing, a surveillance-driven approach that attempts to identify possible criminal activity before a specific offense has been established.
A DHS memo in the criminal case of Kyle William Olson said a Border Patrol Predictive Intelligence Targeting Team identified financial activity patterns commonly associated with illicit narcotics activity, without explaining which records were reviewed or how they were obtained.
Alek Schott was pulled over, questioned and searched for drugs after surveillance-driven suspicion, but no drugs were found, and he is now suing Bexar County, the sheriff and some deputies over alleged Fourth Amendment violations.
Financial Crimes Enforcement Network reporting under the Bank Secrecy Act may be one pathway through which expansive financial information reaches other federal agencies.
Critics argue that financial surveillance can reveal beliefs, associations and political tendencies, making it vulnerable to discriminatory or politically motivated use.
Examples cited by civil liberties advocates include Canada’s freezing of protest-related bank accounts in 2022, WeChat account bans involving protestors in China that same year, and U.S. pressure on banks after January 6th to flag spending patterns tied to alleged extremism.
Policy critics are calling for DHS to end the use of financial information and other data in predictive policing, and for Congress to require an independent Government Accountability Office audit.

Financial Surveillance Moves to the Center of the Predictive Policing Debate

The debate over predictive policing has escalated after revelations that the U.S. Department of Homeland Security has been aggregating data about Americans’ financial activities and using that information to generate leads for local law enforcement. For civil liberties advocates, the concern is not merely that government agencies are collecting sensitive information. The deeper issue is that financial records can be interpreted, combined with other surveillance signals and turned into suspicion before a specific crime has been identified.

Predictive policing rests on the premise that patterns in data can help authorities anticipate criminal behavior. In practice, critics argue, that premise can invert the traditional relationship between citizens and the state. Instead of law enforcement developing fact-based suspicion from observable conduct connected to a defined offense, individuals can be placed under scrutiny because a government system has connected selected points in their personal history. Financial transactions, travel movements, license-plate scans and other data sources can be arranged into a narrative that may be difficult for the targeted person to see, understand or challenge.

That is why the controversy is increasingly being framed as a constitutional fight. The Fourth Amendment requires meaningful limits on searches and seizures. Critics of predictive policing say secret data profiles risk becoming a workaround: the government can gather information in bulk, draw conclusions outside public view, and then prompt local officers to conduct stops or searches that appear routine on the surface. In that model, the surveillance system becomes the unseen origin of suspicion.

The Olson Case Highlights Questions About Secret Financial Analysis

One of the clearest examples is the case of Kyle William Olson, whose traffic stop in Montana was instigated by a Border Patrol Predictive Intelligence Targeting Team. A DHS memo produced in his criminal case said the team had identified financial activity patterns commonly associated with illicit narcotics activity. The memo did not explain which records were examined or how the government obtained them.

Police ultimately found marijuana in Olson’s vehicle. But that result does not settle the underlying constitutional concern. The central question is why the government was secretly analyzing his finances before officers had identified a specific crime. If financial history can be converted into a generalized warning and then passed to local police, critics warn that the practical effect is to treat transaction records as pre-crime evidence.

Financial data is especially sensitive because it can say far more than whether someone bought a product or paid a bill. Transactions can reveal where people worship, what they read, whom they support, where they travel, what medical services they seek and which communities they belong to. When government agencies build narratives from that information, the risk of selective interpretation becomes substantial. A lawful purchase may look suspicious when stripped of context. A political donation may be treated as a signal. A travel pattern may be made to look incriminating after the fact.

Alek Schott’s Lawsuit Underscores the Risks of Surveillance-Led Stops

The case of Alek Schott illustrates another dimension of the same problem. Schott was pulled over for allegedly drifting between lanes and had his truck searched for drugs, but none were found. Federal agents monitored his travel patterns through license-plate scans and other surveillance technologies. Schott is now suing Bexar County, the sheriff and some deputies, alleging violations of his Fourth Amendment rights.

The Institute of Justice has argued that police must have a fact-based suspicion of a crime before making a stop, a valid reason to extend that stop, and either a warrant, consent or an objective reason to believe contraband is inside before searching a vehicle. In Schott’s case, the organization says the deputy failed to meet those standards and used an unjustified traffic stop to probe into crimes that had not been committed.

For critics, that pattern reveals the structural danger of predictive policing. A local officer may cite a traffic justification, while the real driver of the encounter is a federal surveillance tip. The person stopped may have no way of knowing that a hidden data analysis played a role. Courts, defense lawyers and the public may also struggle to evaluate whether the initial suspicion was valid if the government does not disclose the data sources, targeting criteria or analytical methods behind the tip.

How Financial Data May Move Through the Federal System

One possible path for financial information is the Financial Crimes Enforcement Network, the agency within the Department of Treasury that oversees compliance with the Bank Secrecy Act. The Bank Secrecy Act requires financial institutions to maintain records and report certain large or suspicious transactions to the government to detect and prevent money laundering and other illicit activity. FinCEN can then share information with other federal agencies to carry out regulatory duties.

That framework was designed around financial crime enforcement, but critics say its practical reach has become broad because financial institutions often over-report to reduce compliance risk. If banks and other firms face penalties for under-reporting, they may choose to file suspicious reports aggressively. The result can be a large pool of financial information about Americans who have not been charged with wrongdoing.

When that information is later used for predictive policing, civil liberties concerns multiply. Suspicious activity reporting may begin as a compliance tool, but it can become part of an intelligence pipeline. If DHS or other agencies rely on that data to generate profiles, the distinction between financial regulation and generalized domestic surveillance can blur. Critics argue that judicial authorization should be required before sensitive financial records are used in an investigation tied to a specific suspected crime.

Political Targeting Fears Cut Across Party Lines

The concern is not confined to one political faction. Financial surveillance has repeatedly raised alarms because spending patterns can be used to infer political beliefs and associations. In 2022, Canadian Prime Minister Justin Trudeau used emergency powers to freeze personal and corporate bank accounts connected to protestors, justifying the move on safety and security grounds. That same year, WeChat banned accounts of protestors in China, where the application functions as a deeply integrated payments and messaging tool.

In the United States, controversy intensified after the January 6th attack on the U.S. Capitol. A 2024 Congressional report said banks were pressured by FinCEN and the FBI to identify extremism by searching for spending habits that reflected conservative views, including purchases of religious texts. The point for critics is not to relitigate the riot itself, but to question whether ordinary spending associated with political or religious identity should trigger law enforcement scrutiny.

The issue also cuts in the other direction. In 2025, President Trump issued an Executive Order designating Antifa as a domestic terrorist organization. The White House then issued a memo directing law enforcement to identify and disrupt financial networks that fund domestic terrorism and political violence. Critics again warned that a legitimate focus on violence can expand into monitoring political views, associations and expressive activity. The CATO Institute raised the question of how far financial institutions might go to comply and whether political attitudes could become part of customer scrutiny.

Surveillance Beyond Bank Accounts

Financial records are not the only data source capable of producing abuse. Sacramento, California, offers a separate example involving energy usage data. Local law enforcement acquired information about residents’ electricity consumption to identify people suspected of illegally growing marijuana. Critics say the practice led to harassment of innocent residents and showed how ordinary household data can be transformed into a law enforcement signal.

The broader point is that data becomes powerful when it is aggregated. A single transaction, license-plate scan or utility record may appear limited in isolation. Combined across databases, those signals can create a detailed portrait of a person’s habits, beliefs and movements. When the government controls the interpretation, citizens may be judged by correlations they never see and assumptions they cannot rebut.

That is why civil liberties advocates describe predictive policing as inherently prone to abuse. The state decides which dots matter, which patterns are suspicious and which people deserve attention. Even when the goal is public safety, the method can place everyone under permanent evaluation. In that environment, innocence is no longer the starting point; suspicion becomes ambient and continuous.

Calls for Oversight and Disclosure

Policy critics are calling for DHS to end the use of financial information and other data by the Border Patrol Predictive Intelligence Targeting Team for predictive policing. They also want Congress to direct the Government Accountability Office to conduct an independent audit of DHS data sources, targeting criteria, retention practices, false-positive rates and information-sharing. Such an audit would also assess compliance with the Fourth Amendment and other applicable laws, with findings published for further action.

Additional proposed safeguards include judicial authorization before DHS can use sensitive financial records in an investigation of a specific suspected crime. Critics also argue that full disclosure should be required whenever federal data analysis triggers a traffic stop. Without disclosure, defendants may be unable to challenge the true basis for government suspicion, and courts may be unable to test whether constitutional protections were bypassed.

The central issue is whether federal agencies can use secret profiles to manufacture suspicion. If they can, then constitutional safeguards risk becoming procedural formalities rather than meaningful protections. FXCOINZ’s policy view is that the government should not be able to turn financial records, political associations or daily behavior into hidden risk scores without judicial checks, transparent standards and avenues for challenge.

Why the Fight Matters for Financial Privacy

Financial privacy is not just a concern for crypto users, banks or compliance professionals. It is a basic civil liberty issue because money touches nearly every aspect of modern life. People reveal themselves through payments, whether they intend to or not. When governments collect and interpret that information at scale, financial systems can become tools for political control, social pressure and investigative fishing expeditions.

Predictive policing intensifies those risks by moving suspicion earlier in the process. Instead of investigating a known offense, the state looks for patterns that might suggest future or hidden wrongdoing. Critics argue that this approach is incompatible with the principle that people should be treated as innocent until proven guilty. The danger is not only wrongful prosecution, but also wrongful targeting, intimidation and the quiet chilling of lawful behavior.

The American people should be free to live, transact, travel, associate and express beliefs without fear that ordinary activity will be assembled into a secret government narrative. Public safety matters, but constitutional limits matter as well. The emerging fight over DHS predictive policing is ultimately a fight over whether the state can use financial surveillance to decide who deserves suspicion before a crime has been established.

Frequently Asked Questions (FAQs)

What is predictive policing?

Predictive policing is a law enforcement approach that uses data analysis to identify people, places or patterns believed to be associated with potential criminal activity. Critics argue that it can turn ordinary behavior into suspicion without a clearly identified crime.

Why is DHS facing criticism over financial surveillance?

DHS is facing criticism because financial activity data has reportedly been aggregated and used to provide tips to local law enforcement. Civil liberties advocates say this risks treating transaction histories as evidence before a person has done anything wrong.

What happened in the Kyle William Olson case?

A Border Patrol Predictive Intelligence Targeting Team instigated a traffic stop involving Kyle William Olson. A DHS memo said the team identified financial activity patterns commonly associated with illicit narcotics activity, but did not explain which records were examined or how they were obtained.

What happened in Alek Schott’s case?

Alek Schott was pulled over for allegedly drifting between lanes and had his truck searched for drugs, but none were found. Federal agents had monitored his travel patterns through license-plate scans and other surveillance technologies, and Schott is now suing over alleged Fourth Amendment violations.

FinCEN oversees compliance with the Bank Secrecy Act, which requires financial institutions to maintain records and report certain large or suspicious transactions. That information can be shared with other federal agencies for regulatory duties, creating a possible pathway for broader government use.

Why do critics say financial surveillance threatens political freedom?

Financial transactions can reveal beliefs, associations, reading habits, donations and community ties. Critics warn that governments can use those signals to infer political views and target people based on lawful expression or affiliation.

What reforms are being proposed?

Critics are calling for DHS to stop using financial information and other data for predictive policing, for Congress to order a Government Accountability Office audit, and for judicial authorization before sensitive financial records are used in investigations of specific suspected crimes.

Why does disclosure matter when federal analysis triggers a traffic stop?

Disclosure matters because defendants need to know the real basis for a stop in order to challenge it. If a federal data profile triggered local police action but remains hidden, courts may not be able to evaluate whether constitutional standards were met.

Is this issue only about one political side?

No. Critics point to examples involving conservative spending patterns after January 6th and later efforts to identify financial networks tied to Antifa-related concerns. The broader warning is that surveillance powers can be used against any political faction.

DHS Predictive Policing Draws Fire Over Financial Surveillance and Fourth Amendment Concerns