AI/ML is being rapidly adopted into many aspects of businesses. It is transforming the way we work because of its ability to reduce the efforts and costs to complete tasks, but we are only at the beginning of this technology’s potential. As the adoption and use cases continue to grow, it is critical that organizations understand the unique threats that AI/ML brings along with it, along with identifying weak spots and building more resilient models.
NetSPI’s industry-leading AI/ML pentesting solution was built from decades of manual penetration testing expertise in network, application, cloud, and more, designed specifically to identify, understand, and mitigate risks of AI and ML models. This new solution allows you to improve overall resiliency to attacks and strengthen security with three unique offerings:
- The Machine Learning Security Assessment is 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.
- Our Infrastructure Security Assessment tests 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.
- And finally, the Web Application Penetration Testing offering evaluates 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.
This blog post is a part of our offensive security solutions update series. Stay tuned for additional innovations within Resolve (PTaaS), ASM (Attack Surface Management), and BAS (Breach and Attack Simulation).
Read past solutions update blogs: