Requirement

A.7.5: Data provenance

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The organization is obligated to establish a documented methodology for maintaining data provenance. This formal process must provide a comprehensive audit trail that traces the origin, history, and transformations of all data leveraged within its artificial intelligence systems. Such traceability must be upheld consistently across the entire operational lifespan of both the data and the associated AI model, from initial creation through to final disposition.

See how Cyberday guides you to fulfill this requirement:
This requirement is part of the framework:  
ISO 42001:2024
Best practices
How to implement:
A.7.5: Data provenance
This policy on
A.7.5: Data provenance
provides a set concrete tasks you can complete to secure this topic. Follow these best practices to ensure compliance and strengthen your overall security posture.

The organization is obligated to establish a documented methodology for maintaining data provenance. This formal process must provide a comprehensive audit trail that traces the origin, history, and transformations of all data leveraged within its artificial intelligence systems. Such traceability must be upheld consistently across the entire operational lifespan of both the data and the associated AI model, from initial creation through to final disposition.

Read below what concrete actions you can take to improve this ->
Frameworks that include requirements for this topic:
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How to improve security around this topic

In Cyberday, requirements and controls are mapped to universal tasks. A set of tasks in the same topic create a Policy, such as this one.

Here's a list of tasks that help you improve your information and cyber security related to
A.7.5: Data provenance
Task name
Priority
Task completes
Complete these tasks to increase your compliance in this policy.
Critical
No other tasks found.

How to comply with this requirement

In Cyberday, requirements and controls are mapped to universal tasks. Each requirement is fulfilled with one or multiple tasks.

Here's a list of tasks that help you comply with the requirement
A.7.5: Data provenance
of the framework  
ISO 42001:2024
Task name
Priority
Task completes
Complete these tasks to increase your compliance in this policy.
Critical
Data provenance procedure for AI systems
Critical
High
Normal
Low
2
requirements
AI governance
AI data and model governance

Data provenance procedure for AI systems

Completing this task also progresses your compliance in all of the following frameworks and requirements. Cyberday automatically maps completed tasks to all of these current and future frameworks - so you do not have to do it again!

Contextual relevance assessment of AI data sets
Critical
High
Normal
Low
2
requirements
AI governance
AI data and model governance

Contextual relevance assessment of AI data sets

Completing this task also progresses your compliance in all of the following frameworks and requirements. Cyberday automatically maps completed tasks to all of these current and future frameworks - so you do not have to do it again!

The ISMS component hierachy

When building an ISMS, it's important to understand the different levels of information hierarchy. Here's how Cyberday is structured.

Framework

Sets the overall compliance standard or regulation your organization needs to follow.

Requirements

Break down the framework into specific obligations that must be met.

Tasks

Concrete actions and activities your team carries out to satisfy each requirement.

Policies

Documented rules and practices that are created and maintained as a result of completing tasks.

Never duplicate effort. Do it once - improve compliance across frameworks.

Reach multi-framework compliance in the simplest possible way
Security frameworks tend to share the same core requirements - like risk management, backup, malware, personnel awareness or access management.
Cyberday maps all frameworks’ requirements into shared tasks - one single plan that improves all frameworks’ compliance.
Do it once - we automatically apply it to all current and future frameworks.