Every major compliance framework requires audit logging. Understand what each framework demands and how AuditKit satisfies those requirements with SHA-256 hash chains, Merkle tree proofs, and tenant-isolated event streams.
SOC 2 requires organizations to maintain comprehensive audit logs that track user activity, system changes, and security events across all trust services criteria.
ISO 27001 mandates audit logging as part of Annex A controls for information security event logging, protection of log information, and administrator activity logging.
HIPAA requires covered entities and business associates to implement audit controls that record and examine activity in systems containing electronic protected health information (ePHI).
GDPR requires organizations to demonstrate accountability through records of processing activities and maintain audit trails for data access, consent changes, and data subject requests.
FedRAMP requires cloud service providers to implement extensive audit logging based on NIST SP 800-53 controls, including AU-2 through AU-12 for event logging, analysis, and protection.
CMMC requires defense contractors to implement audit logging controls derived from NIST SP 800-171, covering audit event creation, content, review, and protection.
DORA requires EU financial entities and their ICT service providers to implement comprehensive logging for ICT-related incidents, change management, and access control.
NIS2 requires essential and important entities across the EU to implement cybersecurity risk management measures including audit logging, incident reporting, and supply chain security monitoring.
SOX requires publicly traded companies to maintain audit trails for financial reporting systems, including logging of access to financial data, changes to financial records, and internal controls over financial reporting.
PCI DSS v4.0 Requirement 10 mandates logging of all access to cardholder data environments, protection of audit trails from tampering, and regular log review and analysis.
The EU AI Act requires providers of high-risk AI systems to implement automatic logging of events relevant to identifying risks, monitoring operations, and ensuring traceability throughout the AI lifecycle.
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