AI/ML Penetration Testing
Enhance the resilience of AI in your environment, whether it’s fine tuning off-the-shelf models, building your own, or leveraging LLM functionality in your applications.
AI Pentesting & LLM Security Testing
Reduce the Risk of using AI in your Environment
Whether you are fine tuning off-the-shelf models, building your own, leveraging large language learning model functionality in your applications, or in other processes, our security experts can help you assess and enhance the resilience of AI in your environment. Our AI/ML penetration testing solutions cater to a wide range of use cases, models, and industries. We offer LLM web application testing, as well as LLM benchmarking and jailbreaking testing. We also provide custom AI testing, an advanced evaluation process that entails a comprehensive review. This includes, but is not limited to, an analysis of data collection, the structure of training data, and the validation of the AI model.
LLM Web Application Testing Service Securely incorporate LLM capabilities into your web-facing applications
Continuous testing ensures that as your application development and models evolve, you can stay ahead in identifying and mitigating vulnerabilities. Save time and resources by identifying exploits during development and uncover risks to LLM capabilities not found by static and dynamic testing of LLMs in any framework.
- Identify vulnerabilities specific to LLM capabilities that are not included in traditional static and dynamic web application testing.
- Pentesting for any LLM ( GPT, Llama, Mistral, Titan ) in any framework ( Azure, OpenAI, GCP, Bedrock, and others )
- Testing deep vulnerabilities that scanning alone cannot uncover, especially the potential of adversarial attacks.
LLM Benchmarking & Jailbreaking Service Gain detailed benchmarking and analysis of potential jailbreak consequences of your LLM
Assess and enhance your resilience against real-world threats that may seek to abuse LLM-enabled capabilities for malicious purposes. NetSPI’s team of LLM Benchmarking & Jailbreaking experts identify real-world, specific use cases that attackers deploy to extract sensitive data, generate unauthorized content, and take actions on another user’s behalf. Our AI/ML security team helps you evaluate these risks, gain recommendations for mitigating controls, and track improvements over time as you implement controls.
- Identify potential data leakage, adversarial attacks, and content moderation
- Expand beyond traditional security, including use cases such as bias and data drift
- Help to anonymize PII, redact secrets, and counteract threats such as direct prompt injections
Custom AI Security Testing Service Customize a deep advanced model evaluation and review of your LLM
NetSPI enables custom security testing for applications with custom model coverage beyond standard third-party, LLM-enabled web applications. Often overlooked in security evaluations of custom models are the processes used for its training data collection, cleaning, and selection. Our security experts conduct interviews and review the current pipeline and configurations to produce a threat model that can highlight core areas of weakness and recommend mitigating controls that can improve the overall security posture of the target model. NetSPI’s advanced model evaluations are a tailored service that includes:
- Extensive review of the model’s training data sources, collection methods, validation and cleaning processes
- Advanced attack methodologies including techniques for model extraction, member attribution, inference, inversion, and evasion
Continuous AI Pentesting Solutions
Whether you are fine tuning off-the-shelf models, building your own, leveraging large language learning model functionality in your applications, or in other processes, our security experts can help you assess and enhance the resilience of AI in your environment.
- Identification of risks to LLM capabilities not found by static and dynamic testing
- Depth and breadth of testing for LLMs in any framework
- Deep understanding of model weakness and controls for mitigation
- Actionable reports and recommendations
“NetSPI has demonstrated the ability to listen and adapt as needed to emerging business requirements. They have consistently invested in ways that ensure their effectiveness in delivering the outcomes we need. To date, we have performed the AI assessment as an integrated part of our ongoing pen testing. This has been completed for about 70 product tests over the last two years.”
Data Sheet 
Solution Brief a
You Deserve The NetSPI Advantage
Human-Led
- 350+ pentesters
- Employed, not outsourced
- Wide domain expertise
AI-Accelerated
- Consistent quality
- Deep visibility
- Transparent results
Modern Pentesting
- Use case driven
- Friction-free
- Built for today’s threats
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.
How NetSPI Helped Microsoft Build Trust in AI Security with a Framework That Delivers Results
Learn why Microsoft Partnered with NetSPI to Build a Standardized AI Security Testing Framework for their 70+ Products
How App Integration Transactions Increase the Attack Surface of LLMs
Learn how OpenAI’s AppsSDK, AgentKit, and “Buy It” turn LLMs into transactional agents—expanding security risks from rapid rollout, prompt injection, and access control gaps.