A Comprehensive Approach to Machine Learning Security

There is no silver bullet for AI/ML security. But a penetration test is a great opportunity to identify, understand, and mitigate risks and improve overall resiliency to attacks. Chat with our team to understand which of our AI/ML security assessments is right for you or collaborate on a customized approach to meet your unique offensive security needs.

  • Machine Learning Security Assessment
    A comprehensive assessment designed to evaluate ML models, including Large Language Models (LLMs), against adversarial attacks, identify vulnerabilities, and provide actionable recommendations to ensure the overall safety of the model, its components, and their interactions with the surrounding environment.
  • Infrastructure Security Assessment
    Test the surrounding infrastructure around your model. This assessment covers network security, cloud security, API security, and more, ensuring that your organization’s deployment adheres to defense in depth security policies and mitigates potential risks.
  • Web Application Penetration Testing
    Test the security and reliability of web applications utilizing LLMs and other machine learning integrations. Leveraging sophisticated manual processes and automated tools, we identify vulnerabilities and risks specific to LLM-integrated functionality, providing actionable recommendations to enhance security and safeguard sensitive data.
Machine Learning

Rooted in Adversarial Machine Learning

Our AI/ML Pentesting methodology is rooted in adversarial machine learning, the study of adversarial attacks on ML and corresponding defenses. With this foundational research, our offensive security experts have the knowledge to better understand and mitigate vulnerabilities within ML models by putting them to the test against real-world attack techniques.

What to Expect During AI/ML Pentesting

Team NetSPI is here to help you identify, analyze, and mitigate the risks associated with adversarial attacks on your machine learning systems. Here’s a glimpse into what an assessment looks like:

Holistic and Contextual Testing Across Your Tech Stack

We won’t test your models in a silo. Our team collaborates closely with you to contextualize ML with your existing technology stack (cloud, web, applications). Comprehensive testing tailored to your use cases.

Build a Robust Pipeline for Development and Training

We’ll assess the security of your existing pipeline and guide you to implement best practices for secure feature engineering, preprocessing techniques, and model training.

Evaluate Your Defenses Against Major Attacks

Through a combination of attack simulations, pentesting, and advanced evaluation techniques, measure how your defenses perform against major adversarial attacks such as evasion, poisoning, inference, availability, and extraction.

Actionable Reports and Recommendations

Our experts provide comprehensive reports and recommendations for remediation and improving defense mechanisms, all delivered via NetSPI’s PTaaS platform. Make informed decisions to enhance your AI/ML security posture.

Delivered in our
PTaaS Platform

Web application pentesting engagements are managed and delivered through Resolve™, NetSPI’s vulnerability management and orchestration platform. Resolve™ elevates your vulnerability management and pentesting program.

Penetration Testing Service Engagements

Discover how the NetSPI BAS solution helps organizations validate the efficacy of existing security controls and understand their Security Posture and Readiness.