在下方每行输入一个机构或个人名称。选择数据源，即可批量执行检索测试，用以评估高并发下的数据库响应性能。 Enter query names, one per line. Select data sources to perform batch testing and evaluate high-concurrency database retrieval performance.
The system automatically compares sanction library version history to extract the latest official "Designated" entries.
批量制裁对撞是金融机构、涉外企业和跨国组织执行客户尽职调查（KYC）及反洗钱（AML/CFT）的核心审查程序。通过将大量的合作伙伴、客户或供应商名单批量录入，系统可自动横向对撞包括联合国安全理事会制裁名单、美国 OFAC SDN 限制清单、欧盟 EEAS 冻结名单和英国 HMT 制裁名单在内的 50+ 个官方数据库，及时阻断合规风险。 Bulk sanctions screening is a critical compliance check for financial institutions, multinational corporations, and global trade entities under AML/CFT and KYC regulatory frameworks. By uploading bulk lists of counterparties, clients, or suppliers, the engine automatically runs cross-checks against 50+ official databases including the UN Security Council, US OFAC SDN, EU EEAS, and UK HMT sanctions lists to detect high-risk matches instantly.
本系统采用多维度智能拼写与模糊字符对撞算法，不仅比对官方实体主姓名，还对已知别名（Aliases/AKA）、中文译名及证件特征进行加权计算。当匹配评分 大于等于 75% 时判定为高可信度命中（红色预警），建议合规官立即执行人工 KYC 核查以排除或确证合规风险；低于 75% 则作为潜在疑似风险排除。 Our engine utilizes advanced multi-vector fuzzy matching and character-overlap algorithms, evaluating not only primary entity names but also known aliases (AKA), translated Chinese/English spellings, and identifiers. Matches with scores >= 75% trigger high-confidence alerts (red flag), requiring immediate manual compliance officer review to verify or rule out regulatory exposure.
本沙盒支持一键生成并导出包含多 Sheet 页面的 Excel 数据比对报表。报表结构包括使用说明（Readme）、筛查概览（Summary）以及按数据源分类的详细命中列表，便于用户进行学术研究、技术分析与离线数据核对。 This sandbox supports generating and exporting structured multi-sheet Excel workbooks. The workbook structure includes a detailed readme guide, high-level summary overview, and segregated database match tabs, facilitating academic research, technical analysis, and offline data verification.