Compliance

Built for trust in regulated workflows

sanction.duediligence.one is designed for institutions that need more than a fast answer. They need outputs they can understand, review, and rely on. Our compliance approach is built into the product itself: source-based verification, explainable findings, structured risk outputs, and human review where the stakes are higher. The goal is not simply to automate screening, but to make sanctions-related investigation clearer, more traceable, and easier to defend in real institutional workflows.

European Regulatory Alignment

Aligned with European regulatory expectations

The platform is being developed with a governance posture aligned with core European expectations for trustworthy AI and responsible data processing. This includes a product architecture informed by:

A risk-based approach to AI deployment
Human oversight for sensitive or escalated findings
Transparency of outputs and supporting evidence
Traceability across the investigation workflow
Privacy-conscious handling of data in regulated contexts

This direction is consistent with the EU AI Act, which entered into force on 1 August 2024 and establishes a uniform, risk-based framework for AI across the European Union.

Infrastructure

EU-hosted infrastructure and secure processing

The platform is designed for institutional environments where infrastructure choices matter. Our intended architecture emphasizes:

EU-hosted infrastructure
Data processing within clearly defined operational boundaries
Encryption in transit and at rest
Access control and controlled handling of sensitive information
Secure, audit-oriented reporting workflows

This infrastructure posture supports organizations that require stronger assurances around jurisdiction, data handling, and operational trust.

Data Responsibility

GDPR-informed data responsibility

Where personal or organizational data is involved, trust depends on disciplined processing. Our compliance posture is informed by the principles of the General Data Protection Regulation (GDPR), which has applied since 25 May 2018 and provides a harmonized EU framework for personal data protection, stronger individual control over personal data, and a common standard for accountable processing. GDPR also explicitly encourages privacy-friendly techniques such as pseudonymisation and encryption. In practice, this means designing workflows with attention to:

Data minimization
Purpose limitation
Accountability
Appropriate safeguards for sensitive data
Clear review and governance mechanisms
Explainability

Explainable by design

In sanctions screening, a result without explanation has limited value. That is why the platform is designed to show not only what was found, but also why it matters. Findings are structured around source-backed signals, ownership analysis, and clearly expressed outcomes such as CLEAR, YELLOW FLAG, or RED FLAG. This makes the system more useful for teams that need to assess risk, document reasoning, and communicate decisions internally.

Human Oversight

Human oversight where it matters

We believe AI should support professional judgment, not replace it. For higher-risk or ambiguous cases, the platform is designed to support human-in-the-loop review, helping teams investigate sensitive findings before acting on them. This creates a more responsible workflow for sanctions-related assessment and reduces dependence on opaque outputs.

Auditability

Traceable and audit-oriented

The platform is designed for environments where accountability matters. Our approach emphasizes:

Source-citable findings
Structured reasoning
Preserved review history
Audit-oriented reporting
Traceability across the investigation workflow

This helps transform sanctions screening from a fragmented manual task into a more consistent and reviewable institutional process.

See the platform in action.