Compliance-as-Code for Global Sanctions Screening with Terraform

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Review evidence: 3,056 posts in March 2026; 671 shared March 14, 2026; preceding six-month median 13.5. Reviewed August 9, 2026.

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Leveraging Compliance-as-Code (CaC) alongside tools like Terraform, organizations can automate and streamline their sanctions screening infrastructure, significantly reducing manual errors and ensuring consistency in compliance with global regulations. Didit's AI-native Anti-Money Laundering (AML) Screening solution enhances this automation by integrating seamlessly into CaC frameworks, providing real-time screening against over 1300 global sanctions, PEP, and watchlist databases. This system features a two-score approach—Match Score and Risk Score—to optimize compliance processes and minimize false positives. The solution addresses the challenges of traditional manual sanctions screening, which is often slow and prone to error, by employing advanced matching algorithms and ensuring continuous adherence to various regulatory standards. With Didit's modular architecture and API-first strategy, organizations can efficiently manage compliance workflows, balancing stringent security measures with a streamlined user experience, all while leveraging Terraform to maintain and scale compliance infrastructure in tandem with application development.

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