AI/ML Penetration Testing

AI/ML Penetration Testing

AI and Large Language Models (LLMs) are transformative technologies with the potential to revolutionize industries, but they also introduce significant vulnerabilities and new attack vectors. Early evaluations by cybersecurity experts highlight that many AI systems, including LLMs, are prone to high-severity exploits such as prompt injection attacks, data leaks, and adversarial manipulations. These vulnerabilities can result in unauthorized access, misinformation, and the exposure of sensitive data, eroding trust in the technology. Mitigating these risks demands a proactive strategy that incorporates rigorous security testing, robust safeguards, and ethical oversight to ensure the secure and responsible use of AI.

Why AI/ML Penetration Testing?

Service Description

This service evaluates your AI and LLM systems, including APIs and backend database storage, for coding and implementation flaws. It also addresses technical issues outlined in the OWASP Top 10 LLM framework. The process includes actively exploiting vulnerabilities to demonstrate potential data leakage, unauthorized access to applications, underlying database services, APIs (such as RESTful and GraphQL), and the hosting environment.

Tests performed

Our testing methodologies align with the OWASP Top 10 LLM framework. This includes assessing for vulnerabilities such as direct and indirect prompt injection, insecure output handling, training data poisoning, model denial of service, supply chain weaknesses, sensitive information disclosure, insecure plugin design, excessive agency, overreliance, and model theft.

Deliverables

Flexible Options

Why Us?

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