Sanctions and Compliance Monitoring

Real-Time Risk Detection Across Global Watchlists and Sanctions Data

Compliance teams and risk engineers use DataDock to monitor global sanctions lists, flag high-risk entities, and embed screening directly into their workflows through a developer-ready API. Stop relying on manual lookups and periodic batch scans. Get continuous, structured access to the sanctions data that matters.

Daily

Watchlist refresh across global regulatory sources

Sub-100ms

API response time for entity screening queries

100%

Sourced from publicly available regulatory lists

Built for Compliance and Risk Teams

Screening infrastructure that keeps pace with enforcement

Sanctions lists change continuously. Manual processes and legacy GRC tools cannot keep up. DataDock gives compliance, risk, and engineering teams the structured data layer they need to build reliable, audit-ready screening into any workflow.
Financial Compliance

Banks and Financial Institutions

Automate counterparty screening across onboarding, payments, and correspondent banking. Maintain current watchlist coverage without manual list management or delayed batch updates
Risk Engineering

Fintech and Payment Platforms

Embed real-time sanctions screening directly into transaction flows, onboarding APIs, and account review systems. Flag risk before it reaches the payment layer rather than after settlement.
Third-Party Risk

Procurement and Vendor Management

Screen suppliers, vendors, and business partners against current global watchlists before onboarding and on a scheduled basis throughout the relationship lifecycle.
Regulatory Reporting

Legal and Compliance Functions

Generate audit-ready screening records with full data lineage. Support regulatory examinations and internal audits with structured, timestamped match logs tied to specific list versions.

Data Coverage

What we monitor and how we keep it current

DataDock continuously ingests, normalizes, and enriches sanctions and watchlist data from publicly available regulatory enforcement sources across international bodies, national agencies, financial conduct regulators, and emerging policy frameworks covering trade restrictions, human rights, and ESG-linked designations.

Every entity record is deduplicated, alias-resolved, and enriched with relationship metadata before being exposed through the API. You get clean, queryable data rather than raw list dumps.

How It Works

From watchlist update to screening result in real time

DataDock runs a continuous pipeline from raw regulatory list ingestion through entity resolution, correlation, and alert delivery so your team always screens against current data.
Real-Time Watchlist Monitoring
DataDock monitors publicly available sanctions and watchlist sources continuously, ingesting updates as they are published. APIs reflect current list state within hours of a regulatory designation change, giving your screening layer access to enforcement data that is never stale.
Entity Resolution and Alias Matching
Sanctioned entities appear under multiple name variants, transliterations, and aliases across different list sources. DataDock applies fuzzy matching and entity resolution to consolidate these into unified records, reducing both false negatives from missed aliases and false positives from near-match noise.
Intelligent Correlation and Pattern Detection
Beyond direct name matching, DataDock connects structured data across sources to surface indirect risk exposure. This includes relationships between sanctioned entities and their affiliates, ownership structures, shell companies, and geographic proximity to embargoed jurisdictions
Alerting and Rule-Based Tagging
Configure prebuilt or custom rules to flag high-risk patterns specific to your risk appetite and regulatory obligations. Triggers can include repeated interactions with flagged jurisdictions, indirect ownership connections, or rapid changes in beneficiary structure. Alerts are delivered via webhook or API polling.
Workflow Integration via API
All screening capabilities are exposed through RESTful API endpoints designed for flexible integration. Embed screening into onboarding systems, payment gateways, vendor portals, or internal audit pipelines. Batch and streaming endpoints support both historical scans and live transaction monitoring.

Use Cases

How compliance and risk teams put DataDock to work

From automated KYC to supply chain risk, DataDock powers screening workflows across the full range of compliance use cases.
KYC and Customer Onboarding

Screen new customers and business entities at onboarding against current watchlists. Automate initial risk classification and flag matches for human review before account activation.

Transaction Monitoring

Monitor payment flows for interactions with sanctioned entities or embargoed jurisdictions. Flag transactions in real time rather than surfacing violations during periodic batch review.

Vendor and Third-Party Screening

Automate supplier and vendor screening across procurement workflows. Maintain ongoing monitoring throughout the vendor relationship rather than relying on one-time onboarding checks.

Beneficial Ownership Screening

Identify indirect sanctions exposure through ownership chains. Surface hidden connections to sanctioned individuals or entities embedded in complex corporate structures.

Audit and Regulatory Reporting

Generate structured screening records with full data lineage for regulatory examinations and internal audits. Every result is tied to a specific list version and timestamp for defensible documentation.

Supply Chain Risk Management

Flag geopolitical exposure in cross-border supply chains. Screen counterparties, logistics partners, and international subsidiaries against current trade restriction and export control designations.

API Capabilities

Designed for integration, not just exploration

DataDock exposes all screening capabilities through clean, well-documented API endpoints. Whether you are embedding screening into an onboarding product, a payment platform, or an internal risk engine, the same endpoints serve all use cases without configuration overhead.

What We Monitor

Our platform integrates data from publicly available and ethically sourced sanctions and regulatory enforcement lists across:

This data is continuously normalized, enriched, and exposed through our APIs to power proactive compliance and anomaly detection.

How It Works

1. Real-Time Sanctions List Monitoring

Continuously updated APIs give you access to the latest global watchlists. Query by name, alias, address, country, or custom metadata to check for exposure or match risk.

2. Intelligent Correlation & Pattern Detection

We connect structured and unstructured data across sources to reveal hidden connections between sanctioned entities, affiliates, shell companies, and transaction behavior.

3. Alerting and Rule-Based Tagging

Use prebuilt or custom rules to flag high-risk patterns—such as repeated interactions with flagged jurisdictions, rapid beneficiary switching, or indirect connections to embargoed parties.

4. Workflow Integration via API

Our endpoints are built for flexible integration. You can embed them in onboarding systems, payment gateways, third-party monitoring tools, or internal audit pipelines.

Built for Developers, Not Compliance Consultants

DataDock is built with the assumption that your team wants to build, not book a call

Use Cases

Transparent. Compliant. Responsible.

DataDock adheres to global data ethics and compliance standards:

Ready to build compliant screening into your workflow?

Enterprise: Enterprise & Institutions

For large organizations and institutions with specialized requirements, this plan offers customizable solutions. Contact us for options like multiple API keys, priority support, redistribution rights, or unlimited data access. Example use cases include:

Scale: Business / Internal Use

Built for organizations leveraging the platform for internal operations, this tier supports data-driven teams and professionals. Common applications include:

Growth: Personal & Startups

Designed for innovators, individual developers, and university researchers, this plan supports small-scale projects and early-stage experimentation. Typical scenarios include:

Explorer:

For testing purposes.