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Which of the following is MOST important to ensure security throughout the AI data life cycle?
Suggested Answer: D
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AAISM emphasizes data lineage, provenance tracking, and inventory completeness as essential controls to ensure data security and accountability across all AI data life-cycle phases. This enables detection of unauthorized modifications, improper use, and compliance violations.
Periodic reviews (B) are necessary but insufficient without lineage. Restricting third-party use (C) is one control but not comprehensive. Open-source model choice (A) does not secure data.
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22 comments · newest first
VA
Vashti
2 days ago
Agreed! Without inventory, we lose control.
AM
Amina
7 days ago
I think D is crucial. Data lineage is key for tracking.
MA
Marleen
12 days ago
A has its merits, but not as secure as D.
DA
Dallas
18 days ago
I lean towards D. It ensures accountability.
DA
Danica
23 days ago
C makes sense. Third-party risks are high.
DO
Doretha
28 days ago
B is important too. Regular reviews catch issues early.
SH
Shaun
1 month ago
Agreed! Without inventory, we lose control.
YV
Yvonne
1 month ago
I think D is crucial. Data lineage is key for tracking.
AD
Adell
1 month ago
Totally agree with B, regular reviews are key!
AN
Annette
2 months ago
Really? I doubt A has any impact on security.
MA
Maricela
2 months ago
D is a must-have for tracking data flow.
CA
Carissa
2 months ago
I think C is the most important, can't trust third parties!
SA
Samira
2 months ago
B is crucial for spotting vulnerabilities.
NE
Nell
2 months ago
Totally agree with B! Can't overlook data reviews.
GO
Golda
2 months ago
A is a gamble. Open-source can be risky without checks.
EL
Elenora
3 months ago
Surprised D isn't the top choice. Data lineage is so important!
LO
Lonna
3 months ago
I think C is crucial too. Third-party risks are real.
LE
Leatha
3 months ago
B is key! Regular reviews catch issues early.
MA
Malika
3 months ago
Leveraging open-source models could be risky, but I can't recall if that was highlighted as a major concern in our studies.
BR
Breana
3 months ago
Restricting use of data in third-party models sounds important, but I feel like it might not cover the entire data life cycle.
CA
Catina
4 months ago
I remember a practice question that emphasized the importance of conducting periodic data reviews. It seems like a solid choice.
DE
Destiny
5 months ago
I think maintaining a complete inventory with data lineage records is crucial, but I'm not entirely sure if it's the most important.