Which of the following is the MOST effective way to identify and address security risk in an AI model?

The correct answer is B. Conduct threat modeling to identify vulnerabilities and possible attack methods. AI/ML threat modeling is the most effective structured method to both identify and address model security risks. It systematically surfaces attack classes (poisoning, evasion, membership inference, model extraction, inversion), maps system-specific attack surfaces (data pipelines

AI Security Risk Management

Question

Options

AAssign staff to review AI model outputs for accuracy
BConduct threat modeling to identify vulnerabilities and possible attack methods
CEncrypt the training data and model parameters to prevent unauthorized access
DAdd more data to the model to increase its accuracy and reduce errors

How the community answered

(44 responses)

A
7% (3)
B
80% (35)
C
11% (5)
D
2% (1)

Explanation

AI/ML threat modeling is the most effective structured method to both identify and address model security risks. It systematically surfaces attack classes (poisoning, evasion, membership inference, model extraction, inversion), maps system-specific attack surfaces (data pipelines, feature stores, training artifacts, inference APIs), and drives prioritized mitigations (ingestion validation, robust training, rate-limiting, watermarking, differential privacy, monitoring, red

Topics

#AI Security#Threat Modeling#Risk Identification#Vulnerability Assessment

Community Discussion

No community discussion yet for this question.

Full AAISM Practice