NetSPI AI Pentesting & LLM Security
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 / LLM penetration testing services cater to a wide range of use cases, models, and industries. NetSPI can 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, structure of training data, and validation of the AI model.
LLM Web Application Penetration Testing Service Securely incorporate LLM capabilities into your web-facing applications
NetSPI LLM Web App Testing service ensures that as your application development and models evolve, you can stay ahead by 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.
“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.”
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Solution Brief a
AI / LLM Benchmarking & Jailbreaking Service
Assess your resilience against real-world threats that could abuse LLM-enabled capabilities for malicious purposes. 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. NetSPI experts help to evaluate these risks, provide recommendations for mitigation, and track improvements over time as you implement controls.
- Identify potential data leakage, adversarial attacks, and content moderation
- Expand beyond traditional security, including response bias and data drift
- Anonymize PII, redact secrets, and counteract direct prompt injection threats
Customized AI / LLM
Security Testing Service
Custom testing for applications with model coverage beyond standard third-party, LLM-enabled web apps. NetSPI 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 improves the overall security posture of the target model. Custom 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
AI / LLM Continuous Pentesting
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.
- Discover risks not found by static & dynamic testing
- Depth & breadth of testing for AI / LLM frameworks
- Expertise in model weakness & mitigation controls
Continuous AI Penetration Testing Stay Ahead of Threats as AI Models and Applications Evolve
NetSPI’s continuous AI penetration testing helps security teams stay ahead of emerging threats as their AI models and applications evolve. By identifying exploits in development, NetSPI experts uncover risks to LLM capabilities that point-in-time testing simply cannot find, delivering ongoing security metrics, trend data for up-to-date benchmarking, and resilience against real-world threats.
- Confirm risk with human validation, demonstrating how real-world threat actors could bypass your AI / LLM guardrails.
- Findings delivered through a centralized platform with clear, actionable recommendations for remediation.
Continuous AI Findings Validation Act on the results of AI security tooling with confidence
AI-driven security tooling such as frontier models or autonomous pentesting platforms finds issues at scale, but flood teams with false positives, non-exploitable findings, and severities that may not reflect real risk. NetSPI’s continuous AI findings validation service helps organizations trust, prioritize, and act on the results of their AI security tooling with confidence. Our team of security consultants apply expert judgement to confirm what findings are real, eliminate the false positives, verify severity classifications, and surface vulnerabilities that actually matter.
Validating AI security findings with NetSPI delivers assurance AI tooling alone cannot
- Experts who reproduce findings in your environment and document clear rationale, evidence, and reproduction steps.
- Vendor-neutral validation across any AI security tooling, accessed through your tools or the NetSPI Platform.
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The New NetSPI Platform Experience
- Get answers to critical security questions faster, aligned to role and priorities
- Manage integrations, scans, and agents in one centralized workflow
- Accelerate detection, prioritization, and remediation across the attack surface
- Clearly demonstrate security outcomes to technical and executive stakeholders
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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.