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Database

Description

Pre-training, fine-tuning, or embedding data is manipulated to alter the model's behavior, compromise integrity, or degrade performance.

Impact

- Alteration of the model's behavior. - Compromise of integrity. - Degradation of performance. - Increased error rates. - Embedding of malicious instructions.

Recommendation

- SSO and MFA to limit who can access your data and AI platform. - Enforce data quality checks on batch and streaming data before they make it to the datasets. - Validate and audit all training datasets. - Implement sandboxing.

Threat

Authenticated attacker from the Internet.

Expected Remediation Time

⏱️ 60 minutes.

Fixes

Score

Default score using CVSS 4.0. It may change depending on the context of the src.

Base 4.0

Attack vector

N

Attack complexity

H

Attack requirements

N

Privileges required

L

User interaction

N

Confidentiality (VC)

L

Integrity (VI)

L

Availability (VA)

L

Confidentiality (SC)

N

Integrity (SI)

N

Availability (SA)

N

Threat 4.0

Exploit maturity

P

Vector string

CVSS:4.0/AV:N/AC:H/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P