Which of the following is MOST important to ensure security throughout the AI data life cycle?

The correct answer is D. Maintaining a complete inventory with data lineage records. A complete inventory with data lineage records tracks where data originates, how it transforms at each stage (collection, labeling, training, inference, archival), who has accessed or modified it, and what dependencies exist. This visibility is foundational for enforcing access…

AI Security Strategy and Governance

Question

Options

ALeveraging selected open-source models
BConducting periodic data reviews
CRestricting use of data in third-party models
DMaintaining a complete inventory with data lineage records

How the community answered

(21 responses)

A
5% (1)
B
10% (2)
C
5% (1)
D
81% (17)

Explanation

A complete inventory with data lineage records tracks where data originates, how it transforms at each stage (collection, labeling, training, inference, archival), who has accessed or modified it, and what dependencies exist. This visibility is foundational for enforcing access controls, detecting unauthorized modifications, conducting audits, and demonstrating compliance across the entire AI data life cycle. Option A (open-source models) concerns model provenance, not data security broadly. Option B (periodic reviews) is a useful practice but only effective if there is an inventory to review. Option C (restricting third-party use) is one data control but does not address security across all internal life cycle stages.

Topics

#AI Data Life Cycle Security#Data Governance#Data Lineage#Data Inventory

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