AI/ML Penetration Testing is a specialized security assessment focused on identifying and mitigating vulnerabilities in artificial intelligence and machine learning systems. It involves testing AI/ML models, data sets, and associated infrastructure to ensure they are secure against various threats.

We test for a range of vulnerabilities including adversarial attacks, data poisoning, model inversion, model extraction, algorithmic bias, overfitting and underfitting, insecure data handling, and poor model management.

Yes, we offer remediation support to help your development and security teams implement the recommended fixes. We also conduct follow-up testing to ensure vulnerabilities have been successfully addressed.

AI/ML penetration testing focuses on unique vulnerabilities in AI/ML systems, such as adversarial attacks, data poisoning, and model extraction. Traditional penetration testing targets general IT infrastructure vulnerabilities, while AI/ML testing requires specialized techniques to assess the security of machine learning models and data.

The duration of an AI/ML Penetration Test can vary based on the complexity of the AI/ML systems and the scope of the assessment. Typically, it can take anywhere from a few days to a few weeks.

You will receive a comprehensive vulnerability report detailing all identified vulnerabilities, their severity, and potential impacts. The report will also include actionable remediation steps and an executive summary for non-technical stakeholders.