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An independent, systematic examination of systems, data, or processes to evaluate compliance, effectiveness, and risk.
DESCRIPTION
Audits provide assurance that controls, processes, and data practices meet defined criteria and regulatory obligations. They involve collecting evidence, testing controls, and reporting findings with recommendations. Standards like ISO 19011 guide audit principles and management systems auditing. In data and AI contexts, audits assess quality, lineage, privacy, security, and model risk. Effective audits drive continuous improvement and stakeholder trust.
ALTERNATIVE DEFINITIONS
Wikipedia
An audit is an āindependent examination of financial informationā of any entity, whether profit oriented or not, irrespective of its size or legal form, when such an examination is conducted with a view to express an opinion thereon.
Traditional finance-centric definition emphasizing independence and opinion.
ISO
Systematic, independent and documented process for obtaining audit evidence and evaluating it objectively to determine the extent to which the audit criteria are fulfilled.
Formal ISO definition applicable to management systems across domains.
RELATED TERMS
Compliance Governance Risk Assessment Internal Controls Assurance Certification Evidence ISO 19011 IT Audit AI Audit
COMPETING TERMS
Assessment
KNOWLEDGE AREAS
Data Governance AI Governance Data Management Data Security Data Privacy & Compliance
TARGET AUDIENCE
IT Auditor Chief Information Security Officer Data Governance Manager Chief Data Officer Chief AI Officer IT Manager
EXTERNAL SOURCES
- Wikipedia - Audit
- ISACA - Guidance and resources on IT audit
- NIST - ITL resources on standards and controls
TOP QUESTIONS
Why are audits important for data and AI?
They verify compliance, surface risks, and validate control effectiveness, building trust with regulators and stakeholders.
Category: Relevancy
How is an audit different from an assessment?
Audits follow formal standards with independence and evidence, while assessments can be informal and self-directed.
Category: Comparison
What is scoped in an AI audit?
Data governance, model documentation, bias and fairness testing, security, privacy, and monitoring processes are typically evaluated.
Category: Requirements
What are common audit pitfalls?
Poor evidence traceability, unclear scope, and insufficient stakeholder engagement undermine audit quality and outcomes.
Category: Mistakes
How frequently should audits occur?
Frequency depends on risk, regulation, and change cadence; annual cycles are common, with targeted audits for major changes.
Category: Guidance
What is required to pass an audit?
Documented policies, implemented controls, evidence logs, training records, and demonstrable continuous improvement are essential.
Category: Requirements
How do audits support continuous improvement?
Findings become remediation actions tracked to closure, informing process updates and risk reduction.
Category: Impact
What is an internal vs. external audit?
Internal audits are conducted by in-house teams; external audits are performed by independent third parties for added assurance.
Category: Concept
How should findings be communicated?
Provide a clear report with evidence, risk ratings, recommendations, and owners with timelines for remediation.
Category: BestPractice