Compliance

Fair Math Payments is designed to deliver privacy without breaking compliance.

Unlike “black box” privacy tools that obscure all activity, Fair Math Payments introduces a structured and auditable privacy layer. This allows companies, financial institutions, and DAOs to implement confidentiality while still meeting regulatory, accounting, and reporting standards.

Key Principles

• Auditable Encryption: All encrypted transactions remain traceable and can be decrypted by authorized parties (e.g. internal auditors or compliance officers).

• Selective Disclosure: Privacy rules can be set so that certain information remains private to the public, but can still be selectively revealed for audits or legal requirements.

• Regulatory Alignment: The framework is designed to support requirements like KYC/AML reporting, tax filings, and financial auditswithout forcing public exposure of all business operations.

• Enterprise‑ready Policies: Different departments or workflows can have different privacy levels — e.g., payroll might be fully private, while vendor payments are semi‑transparent for tax reporting.

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In short: Fair Math Payments is not just a privacy layer — it’s a compliance‑aligned privacy framework, ensuring that businesses can protect sensitive data and meet all legal, accounting, and regulatory obligations.