Penetration TestingA chatbot or an agent built on a large language model (LLM) can be turned against you with words: a crafted message, or an instruction hidden in a document or web page it reads, can make it leak data or misuse the tools it is connected to. We test your AI application the way an attacker would.
REQUEST THIS SERVICEChatbots and assistants that answer from your company's documents (RAG), agents that call tools and APIs on behalf of users, and language models built into existing applications. Other machine learning models are covered too when they are part of the application. What, if anything, to leave out depends on the context, and we agree on it with you before starting.
Our starting point is the OWASP Top 10 for LLM Applications, together with the OWASP AI Testing Guide. These references cover only part of what we check: the analysis is manual, backed by specialized tools and techniques, and follows how your solution is actually built, from the prompts it accepts to the content it retrieves and the actions it can take.
A language model is one component of a larger system. We usually propose testing everything around it as well: the APIs it calls, authentication and authorization, and the data each user can reach through it, because that is where a manipulated model does real damage. The final scope is always agreed with you.
As with all our penetration tests, you receive a report written and signed off by our testers: an executive summary, then verified findings with CVSS scoring, a proof of concept and remediation guidance. We walk your team through the results, support them during the fixes and retest to confirm that each issue is closed.
If your AI application is still being designed, we can step in earlier. Threat modeling for AI systems, guardrails and secure prompt engineering are part of our security consulting, as is alignment with the EU AI Act.
We are an Italian security company focused on cloud and application security. Our services draw on years of penetration testing, consulting, training and research.
FAQ
What clients usually ask us before we test an AI application.
No, they are two different services. Here we test your AI application: the model, its integrations and its data. With AI-powered penetration testing, we use an AI platform of our own to widen the coverage of a penetration test on your applications.
A test account for each user role is essential. Anything else is up to you and depends on the kind of test you want: with the system prompt, the models in use, the configuration or the documents behind the RAG, we can also examine the application from the inside; without them, we test it as an outside attacker would.
A staging environment that mirrors production is the safest choice, but production works too, with agreed testing windows and no destructive tests. Either way, testing consumes calls and tokens on your account: before we start, tell us the limits we need to stay within.
We report it anyway. AI solutions are non-deterministic: the exact same prompt often won't trigger the same behavior every time, and the report says so clearly.
For AI and machine learning systems, the team holds the C-AI/MLPen (Certified AI/ML Pentester). The certifications that relate to the rest of the application, such as OSWE and GWAPT for web applications, are listed on our penetration testing page, and the full list is on our About page.
Cloud SecurityBeDefended helps you protect your applications and data in the cloud. Our certified professionals provide cloud configuration reviews, security assessments and consulting for the major cloud platforms.
Security ConsultingBeDefended helps your company secure the entire lifecycle of your software and AI-powered solutions, whether you build them or buy them.
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Effective date: July 21, 2026
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