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Could we be deploying the AI system without testing for adversarial robustness and systemic vulnerabilities?
Could we be deploying the AI system without testing for adversarial robustness and systemic vulnerabilities?
AI systems can be targeted in unique ways, such as adversarial inputs, poisoning attacks, or reverse-engineering of model outputs. These threats could compromise the system's confidentiality, integrity, and availability, leading to reputational damage or harm to users. Testing for these issues may require specialized expertise, tools, and time, which could affect project timelines.
If you answered Yes then you are at risk
If you are not sure, then you might be at risk too
Recommendations
Plan for AI-specific penetration testing or red-teaming exercises, focusing on adversarial robustness, data governance, and model-specific vulnerabilities. Allocate time in the project for external audits, agreement on scope, and retesting if vulnerabilities are found.