Manufacturing Trade Compliance for Import and Export Risk

Most supply chain compliance tools scrape corporate registration records, geolocation data, addresses, and trade shipment data — public datasets that are vast but unverified — and surface the results to your team. The output may appear comprehensive, but it's largely raw data: unresolved corporate filings, bulk shipment records, and algorithmically generated flags that no subject matter expert has guided. Your compliance team inherits all of this data — and all of the work of resolving whether flagged entities are genuine matches, determining what the results actually mean. Some tools deliberately under-resolve, grouping entities conservatively and leaving your analysts to confirm or deny whether matches reflect real-world connections. That approach shifts the most time-intensive part of compliance — entity resolution — from the data provider to your team. On the export side, standard denied party screening tools match names against government watchlists but cannot map the ownership networks behind listed entities. They screen against published lists and known aliases; they do not identify unlisted affiliates, beneficial owners, or network connections that may trigger the same restrictions. Kharon's intelligence is built differently. Our research methodology aligns to the regulatory red flags that enforcement agencies themselves use — labor transfer programs, associated euphemisms, behavioral indicators, military end use profiles — to identify risk entities and their networks, including entities that don't appear on any published government list. Our experts conduct investigations that map ownership and supply chain networks, verify entity relationships against source documents, and document the specific risk basis for every entity in the database. Entity relationships are resolved before they reach your team — verified by subject matter experts as relevant to specific risk topics, not surfaced by an unsophisticated algorithm and left for your analysts to adjudicate. The result is intelligence your team can act on immediately across both sides of trade compliance — not an unverified data set that consumes analyst hours before it becomes usable. All data is structured and readable by AI and LLM-powered systems to ground results in a reliable source of truth.

The Uyghur Forced Labor Prevention Act (UFLPA) creates a rebuttable presumption that goods produced, manufactured, mined, or extracted in the Xinjiang Uyghur Autonomous Region of China are made with forced labor and are prohibited from U.S. import. For manufacturers, this means any component or raw material in the supply chain with a connection to Xinjiang — even several tiers removed — can trigger a shipment detention by U.S. Customs and Border Protection. Compliance requires documented due diligence demonstrating that supply chain inputs are free of forced labor, which demands visibility well beyond direct (Tier 1) suppliers. Kharon's forced labor data identifies entities and their affiliates connected to UFLPA enforcement actions — as well as entities that align with regulatory red flag indicators such as labor transfer programs and associated euphemisms — helping manufacturers build the evidentiary record CBP requires.

Standard supplier audits and questionnaires typically cover direct (Tier 1) relationships, but UFLPA risk often originates at Tier 2, 3, or deeper — where raw materials like polysilicon, cotton, and aluminum are sourced. Effective screening requires entity-level intelligence that maps corporate affiliations, ownership structures, and supply chain connections to identify whether any node in the chain has ties to entities flagged for forced labor. Kharon provides this intelligence through expert-verified data on forced labor-linked entities, their corporate affiliates, and their known supply chain relationships. This data integrates into supply chain platforms like Altana and Resilinc through the Kharon Activation Network, enabling automated screening that reaches well beyond Tier 1.

Military end use (MEU) screening is the process of verifying that exported products, technology, or software will not be used for military applications by restricted parties. U.S. export control regulations restrict exports of certain items to military end users and for military end uses in designated countries, even when the end user is not on any published restricted party list. Manufacturers of dual-use goods — items with both commercial and potential military applications — are particularly affected. Kharon's military end use data identifies entities assessed as military end users based on expert-led research into ownership, affiliations, and operational profiles, providing visibility well beyond the published lists that standard denied party screening tools rely on.

The BIS Entity List identifies specific entities subject to additional license requirements under the Export Administration Regulations (EAR). The Affiliates Rule extends those restrictions to entities owned 50 percent or more — whether directly or indirectly, individually or in the aggregate — by Entity List parties — meaning an affiliate that is not itself on the Entity List may still require a license for export. (The Affiliates Rule was suspended in November 2025 for one year as part of a bilateral trade agreement; manufacturers should continue building the compliance infrastructure to identify these affiliates, as the rule's reinstatement is anticipated and the underlying ownership risks remain relevant to broader export control obligations.) Compliance requires manufacturers to identify not just listed entities, but their corporate networks: subsidiaries, joint ventures, and shell companies that may trigger the same obligations. Kharon maps these ownership relationships through original, expert-led research, providing the intelligence export control teams need to make accurate license determinations.

The OFAC 50 Percent Rule provides that entities owned 50 percent or more, directly or indirectly, in the aggregate by one or more sanctioned persons are themselves considered blocked, even if the entity is not named on the SDN List. This applies to both sides of a manufacturer's trade compliance program. On the inbound side, a supplier owned by a sanctioned party is itself a sanctions risk. On the outbound side, a customer with majority ownership by an SDN-listed entity may be blocked. Kharon maps these ownership relationships through verified, sourced intelligence, helping manufacturers identify blocked entities that do not appear on any published sanctions list.

The EU Forced Labour Regulation (Regulation 2024/3015) prohibits placing products made with forced labor on the EU market. It entered into force on December 13, 2024, with phased implementation. Key provisions took effect immediately, but the full product ban becomes enforceable on December 14, 2027, with the European Commission publishing guidelines by June 2026. Unlike UFLPA's rebuttable presumption focused on the Xinjiang region, the EU regulation applies globally and uses an investigative model: competent authorities in EU member states will initiate investigations based on risk indicators, rather than applying a blanket presumption to a specific region. For manufacturers selling into both U.S. and EU markets, this creates a dual compliance obligation that requires robust forced labor due diligence across the full supply chain. The EU's Corporate Sustainability Due Diligence Directive (CSDDD) adds further supply chain due diligence requirements that intersect with forced labor risk. Kharon's entity-level forced labor intelligence supports both U.S. and EU frameworks, providing the kind of documented, verifiable evidence that enforcement authorities on both sides of the Atlantic require.

Denied party screening (DPS) is the process of checking customers, end users, consignees, and other transaction parties against government-maintained restricted party lists — including the BIS Entity List, OFAC SDN List, and other consolidated screening lists. For manufacturers, DPS is a core component of export compliance: before shipping goods, technology, or software, companies must verify that none of the parties to the transaction are restricted. However, standard DPS tools match names against published lists and their known aliases. They cannot identify unlisted affiliates, beneficial owners, or network connections that may also trigger restrictions. Kharon provides the intelligence layer that goes beyond list matching: mapping the ownership, control, and affiliation networks that determine actual regulatory exposure.

Yes. Kharon's data is delivered through GraphCast and the Kharon API— both designed for seamless integration into existing infrastructure. On the inbound side, Kharon integrates with supply chain intelligence platforms including Altana, Resilinc, and NQC. On the outbound side, Kharon data powers trade compliance screening in global trade management platforms including e2open and Descartes. Through the Kharon Activation Network, manufacturers can access verified risk intelligence within the platforms their teams already use, without adopting new tools or retraining staff. The Activation Network includes 13+ platform integrations across both sides of trade compliance.

On the import side, UFLPA violations can result in shipment detentions, seizures, and exclusion orders from CBP, along with reputational damage that can disrupt customer and investor relationships. On the export side, BIS can impose denial orders (prohibiting export privileges entirely), civil penalties of up to $374,474 per violation (2025 figure, adjusted annually for inflation; proposed legislation could raise this ceiling significantly), and criminal penalties including imprisonment. OFAC sanctions violations carry civil penalties of up to approximately $377,700 per violation (2025 figure, adjusted annually for inflation) under IEEPA, with substantially higher penalties possible under other authorities depending on the sanctions program. Beyond financial penalties, the reputational consequences of either type of violation can be severe — particularly for publicly traded manufacturers whose compliance posture is scrutinized by investors, customers, and regulators.

AI and machine learning are transforming how manufacturers approach trade compliance on both sides. On the inbound side, AI-powered supply chain mapping tools can trace supplier relationships deeper and faster than manual methods. On the outbound side, AI-enhanced screening can reduce false positives and surface network connections that traditional list matching misses. But AI is only as good as the data it ingests — and most AI tools are trained on publicly available information that may be incomplete, outdated, or unverified. Kharon's data is built for this emerging landscape: all data is readable by AI and LLM-powered systems to ground results in a reliable source of truth. Human subject matter experts paired with proprietary technology ensure comprehensive, relevant, verified intelligence that gives AI tools the foundation they need to deliver accurate compliance outcomes.

The most important criterion is whether the provider delivers verified, entity-level intelligence that covers both sides of trade compliance — not just list aggregation or algorithmically scraped corporate records. Specifically, manufacturers should evaluate: (1) Does the data go beyond published lists to identify affiliates, beneficial owners, and network connections? (2) Is the research led by subject matter experts, or is it algorithmically derived from public records? (3) Does the provider cover both inbound risk (forced labor, supply chain) and outbound risk (export controls, military end use, sanctions)? (4) Can the data integrate into existing supply chain and trade compliance platforms? (5) Is the data structured for use by both human analysts and AI-powered systems? Kharon is among the few providers that deliver across all five criteria — verified intelligence, expert-led research, dual-direction coverage, 13+ platform integrations, and AI-ready data architecture.