Import tariffs are no longer just a policy tool; they are a central pillar of U.S. trade enforcement. The Department of Justice (DOJ) has formally elevated customs fraud and tariff evasion to a top enforcement priority, reinforced by the launch of a cross-agency Trade Fraud Task Force in partnership with the Department of Homeland Security (DHS).

For importers, the critical question is no longer whether enforcement is increasing. It is how enforcement is being executed and how companies are being identified as high-risk.

Today, U.S. authorities are leveraging trade data analytics, cross-agency intelligence sharing, whistleblower programs, and supply chain mapping to proactively detect anomalies and target enforcement. The result is a fundamentally different risk environment: one where data patterns, not just transactions, trigger investigations.

Key Takeaways

  • U.S. enforcement agencies are using advanced analytics and anomaly detection to identify high-risk importers
  • The DOJ–DHS Trade Fraud Task Force is accelerating interagency coordination and enforcement reach
  • Authorities are closely monitoring HTS classification, valuation, origin, and routing patterns
  • Whistleblowers and competitor intelligence are playing a growing role in enforcement actions
  • Recent False Claims Act settlements (up to $54.4 million) highlight escalating financial exposure
  • Trade compliance is rapidly evolving into a data governance and analytics-driven discipline

Enforcement Has Entered a Data-Driven Era

Historically, customs enforcement relied on post-entry audits and port inspections. While those mechanisms remain in place, enforcement has shifted toward an intelligence-led model powered by data.

U.S. Customs and Border Protection (CBP) now analyzes vast volumes of import data through the Automated Commercial Environment (ACE) and advanced targeting systems. These systems benchmark importer behavior across industries, historical patterns, and external data sources.

This allows regulators to:

  • Identify statistical outliers in importer behavior
  • Detect inconsistencies across supply chains
  • Prioritize investigations based on risk indicators

Increasingly, investigations begin with a data anomaly, not a physical inspection.

The Trade Data Authorities Are Actively Analyzing

Every import entry generates a detailed dataset that feeds enforcement models.

Key data elements include:

  • Harmonized Tariff Schedule (HTS) classifications
  • Declared customs values
  • Country of origin
  • Importer and manufacturer identifiers
  • Ports of entry
  • Shipping and routing data

However, enforcement does not rely on entry data alone. Authorities are combining this with:

  • Bills of lading and shipping manifests
  • Importer Security Filing (ISF) data
  • Trade and pricing intelligence databases
  • Corporate ownership and entity records
  • Broader supply chain intelligence

This multi-source approach enables regulators to reconstruct supply chains end-to-end and identify discrepancies between declared and actual activity.

Key Red Flags That Trigger Investigations

1. HTS Classification Outliers

Authorities compare classification patterns across industries. Importers consistently declaring goods under lower-duty tariff codes than peers are quickly identified as statistical anomalies.

2. Undervaluation Indicators

Declared values are benchmarked against:

  • Historical import prices
  • Industry norms
  • Export data from supplier countries

Significant deviations may signal duty minimization strategies.

3. Country-of-Origin Manipulation

Origin claims are increasingly scrutinized for transshipment risk. Common indicators include:

  • Sudden sourcing shifts following tariff increases
  • Routing through low-duty jurisdictions
  • Inconsistent or weak supplier documentation

4. Complex or Non-Economic Routing

Unusual shipping patterns like multiple intermediaries, inconsistent routing, or fragmented supplier networks can indicate attempts to obscure origin or evade trade remedies.

Interagency Coordination Is Expanding Enforcement Risk

The 2025 launch of the Trade Fraud Task Force marks a significant shift in enforcement strategy. It formalizes collaboration between:

  • U.S. Customs and Border Protection (CBP)
  • Department of Justice (DOJ)
  • Homeland Security Investigations (HSI)
  • Other federal enforcement bodies

This coordination enables:

  • Real-time intelligence sharing
  • Parallel civil and criminal investigations
  • Stronger use of the False Claims Act

For importers, this means customs issues can now escalate far beyond administrative penalties.

Whistleblowers Are Becoming a Critical Enforcement Channel

Enforcement is no longer driven solely by government detection. The DOJ has expanded its Corporate Whistleblower Awards Program to include customs and tariff violations, creating strong financial incentives for insiders. At the same time, CBP’s e-Allegations platform allows third parties to report suspected violations. Common sources include:

  • Internal compliance or procurement employees
  • Customs brokers and logistics providers
  • Former partners or suppliers
  • Competitors impacted by alleged evasion

These inputs often provide highly actionable intelligence, which regulators validate using trade data analytics.

Recent Enforcement Actions Signal Escalating Stakes

Recent False Claims Act settlements demonstrate the scale and seriousness of enforcement:

The consistent pattern: systemic issues in classification, valuation, or origin, when repeated across transactions, create significant financial and legal exposure.

What Trade Compliance Must Look Like in 2026

In a data-driven enforcement environment, traditional compliance approaches are no longer sufficient. Regulators are not evaluating individual entries; they are evaluating patterns across entire import portfolios. Leading organizations are responding by strengthening trade data governance and analytics capabilities.

Key elements include:

  • Centralized and standardized HTS classification frameworks
  • Clearly documented valuation and origin methodologies
  • Continuous monitoring of import data for anomalies
  • Enhanced oversight of brokers and third-party partners
  • Robust audit trails supporting tariff mitigation strategies

Trade compliance is evolving into a core enterprise risk function closely aligned with data, technology, and governance.

Final Thoughts

U.S. trade enforcement has entered a new phase defined by data, intelligence, and coordination. Authorities now have unprecedented visibility into global trade flows, enabling them to detect risk patterns earlier and act more decisively. For importers, the implication is clear: the same data used to run your supply chain is now being used to assess your compliance risk. Organizations that fail to manage that data proactively risk becoming visible for the wrong reasons.

How Descartes Helps Importers Navigate Data-Driven Enforcement

As enforcement becomes more sophisticated, compliance requires more than manual processes and fragmented systems. Descartes enables organizations to move toward data-driven, audit-ready trade compliance by combining authoritative content, automation, and analytics.

Descartes solutions support:

  • Global trade content across more than 160 countries
  • Advanced HS/HTS classification capabilities to improve consistency and accuracy
  • Integration with ERP, GTM, and customs filing systems for end-to-end visibility
  • Analytics to detect anomalies and risk patterns in import data
  • Governance workflows and documentation to support audit defense

Solutions such as Descartes CustomsInfo™ help compliance teams standardize classification decisions, improve supply chain transparency, and strengthen their ability to defend positions during audits or investigations.