Resources

Guides

A Risk-Based Approach (RBA) in compliance means understanding the specific risks your organization faces and tailoring controls proportionately to those risks. Instead of a one-size-fits-all checklist, an RBA allocates more resources to higher-risk areas and fewer to low-risk areas, making compliance efforts more efficient and effective. In financial services and fintech, this approach is crucial – global regulators like the Financial Action Task Force (FATF) have made RBA central to anti-money laundering (AML) recommendations, reinforcing that effective compliance must prioritize the most severe threats.

Guides

Money laundering and related financial crimes pose a serious global threat, with an estimated $800 billion to $2 trillion laundered worldwide each year​. To combat this, regulators worldwide enforce strict compliance frameworks: Know Your Customer (KYC), Know Your Business (KYB), and Anti-Money Laundering (AML). These frameworks work together to verify customer identities, vet business entities, and detect illicit financial activity, thereby protecting the integrity of the financial system. Businesses are legally required to comply with KYC, KYB, and AML standards – failing to do so can result in heavy fines and reputational damage​. This guide explains each concept, highlights their differences and overlaps, and outlines best practices for global compliance (with a focus on how services like bynn.com can assist in meeting these obligations).

Guides

Identity Verification (IDV) has become a cornerstone of doing business in the digital age. Verifying that someone is who they claim to be is crucial for preventing fraud, complying with laws, and building trust online. This guide provides a beginner-friendly overview of IDV in 2025 – why it matters, how it works, where it’s used, and what the future holds – tailored for businesses, iGaming operators, and financial institutions around the world.

Articles

Advances in artificial intelligence—especially generative adversarial networks (GANs) and deepfake technology—have dramatically lowered the barrier to producing convincing fake identification documents. Generative AI models can now fabricate realistic driver’s licenses, passports, and other IDs with photorealistic faces, seals, and text, often indistinguishable from genuine documents at first glance.