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CDPSE · Question #384

Which of the following strategies BEST mitigates the risks associated with exploiting the capabilities of generative AI for cyberattacks?

The correct answer is D. Implementing robust data validation techniques. Robust data validation techniques are the most effective technical control to mitigate the exploitation of generative AI for cyberattacks such as prompt injection and adversarial inputs.

Data Life Cycle

Question

Which of the following strategies BEST mitigates the risks associated with exploiting the capabilities of generative AI for cyberattacks?

Options

  • APromoting generative AI awareness campaigns
  • BImplementing controls to prevent hallucinations
  • CReducing the use of generative AI to minimize risks
  • DImplementing robust data validation techniques

How the community answered

(40 responses)
  • A
    3% (1)
  • B
    5% (2)
  • C
    10% (4)
  • D
    83% (33)

Why each option

Robust data validation techniques are the most effective technical control to mitigate the exploitation of generative AI for cyberattacks such as prompt injection and adversarial inputs.

APromoting generative AI awareness campaigns

Awareness campaigns educate users about risks but do not technically prevent attackers from exploiting generative AI capabilities against an organization's systems.

BImplementing controls to prevent hallucinations

Hallucination prevention controls address AI reliability and accuracy issues but are unrelated to blocking cyberattacks that exploit AI capabilities.

CReducing the use of generative AI to minimize risks

Reducing AI use is an impractical and overly broad response that does not address the specific technical vulnerabilities exploited in AI-enabled cyberattacks.

DImplementing robust data validation techniquesCorrect

Generative AI systems can be weaponized through techniques like prompt injection, adversarial inputs, and data poisoning, all of which rely on malicious data reaching the model. Implementing robust data validation at input and output boundaries detects, filters, and blocks malicious content before it can be processed or cause harm. This is a direct technical countermeasure that addresses the attack vector rather than relying on awareness or usage restrictions.

Concept tested: Data validation as defense against generative AI exploitation

Source: https://owasp.org/www-project-top-10-for-large-language-model-applications/

Topics

#Generative AI#Cybersecurity#Risk Mitigation#Data Validation

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