AI/ML penetration testing
A penetration test for AI security is an insightful opportunity to identify, understand, and mitigate risks and improve overall resiliency to attacks.
Our AI/ML security assessments
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 company’s deployment adheres to defense in depth security policies and mitigates potential risks.
AI/ML web application penetration testing
Test the security and reliability of web applications utilizing LLMs and other ML 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.
What you can expect during AI/ML penetration testing
NetSPI helps identify, analyze, and mitigate the risks associated with adversarial attacks on ML systems. Here’s a glimpse into what an AI/ML penetration testing assessment looks like:
- Holistic and contextual testing across your tech stack
- Build a robust pipeline for development and training
- Evaluate your defenses against major attacks
- Actionable reports and recommendations
Work with the A-Team every time
With 250+ in-house security experts, NetSPI operates as a true extension of your team. Our proven methodology and consistent processes ensure you get the A-Team, every time. Get the opportunity to work directly with the foremost experts across domains, spanning from mainframes to AI.
You deserve The NetSPI Advantage
Security experts
- 250+ pentesters
- Employed, not outsourced
- Domain expertise
Intelligent process
- Programmatic approach
- Strategic guidance
- Delivery management team
Advanced technology
- Consistent quality
- Deep visibility
- Transparent results
Featured resources
The CISO’s Guide to Securing AI/ML Models
Empower your AI journey with security from the start. Learn how to navigate the nuances of Adversarial Machine Learning (AML) and safeguard your LLMs.
AI/ML Penetration Testing
Discover how AI/ML Penetration Testing brings security to Large Language Models and other ML systems by mitigating risk from ideation to implementation.
How AI and ML Help Evolve Cybersecurity
NetSPI security consultant Kurtis Shelton shares in this fireside chat with SmartBrief’s Susan Rush how AI and ML can evolve approaches to cybersecurity.
