Regulatory conformance is the demonstrable state of an organisation’s systems and processes meeting the legal and regulatory requirements applicable to its domain. It is evidenced through controls, documentation, and audits that map obligations to operational practice. For AI and data systems, conformance increasingly covers risk classification, transparency, and accountability mandates.
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- Achieving conformance requires translating regulations into concrete controls, maintaining evidence of their operation, and undergoing periodic assessment. In fast-moving areas such as AI, conformance frameworks are evolving toward continuous monitoring and machine-readable obligations to keep pace with new rules.