Sanction Scanner is a RegTech company that offers a flexible and scalable AML compliance solution for financial institutions of all sizes. With an emphasis on real-time data screening and automation, the platform aims to reduce false positives and improve operational efficiency across the customer risk lifecycle.

The Solutions Sanction Scanner Provides

Sanction Scanner offers a suite of products tailored to meet a wide range of AML compliance needs:

• Name & Transaction Screening: Real-time screening against updated global sanction lists, PEPs, watchlists, and adverse media.

• Customer Risk Assessment: Risk scoring engines and rule-based monitoring for onboarding and ongoing due diligence.

• Transaction Monitoring: Customizable rule sets to detect suspicious activity with automated alerts and case management tools.

• Adverse Media Screening: Access to thousands of structured media sources across multiple languages.

• Audit Trails & Reporting: Automated recordkeeping and reporting functionalities for internal teams and regulators.

The Type of Customers Sanction Scanner Works With

Sanction Scanner serves a wide range of regulated entities, including:

• Digital banks and fintechs requiring fast deployment

• Payment service providers and crypto platforms

• Traditional banks with legacy system integration needs

• Insurance firms, investment companies, and remittance services

Its flexibility and pricing model make it particularly appealing to startups and mid-sized financial institutions looking to scale quickly.

What Sets Sanction Scanner Apart

Sanction Scanner’s edge lies in its adaptability and usability:

• Fast onboarding and API-first architecture with sandbox environments

• Transparent pricing with pay-as-you-go options

• Data sources updated every 15 minutes, ensuring up-to-date risk insights

• Custom rule writing with no-code interface for business teams

• Localized compliance support for over 40 countries

Its commitment to continuous updates and a user-friendly interface allows compliance teams to focus more on decision-making and less on system maintenance.