Prompt Injection Testing
Prompt injection is the most common weakness in LLM applications. An AI feature reads your instructions, the user's message, and external content as one continuous text, and the model cannot reliably tell them apart. An attacker who exploits this can take control of what your assistant says and does. We find where that is possible in your application, demonstrate the business impact, and show your team how to close the gaps.
What We Test
Manipulation through the chat: We test whether a user can steer your assistant away from its intended behavior, make it ignore its rules, or trick it into taking actions it should not take.
Manipulation through content it reads: The higher-impact path. If your assistant reads web pages, emails, documents, reviews, tickets, or knowledge base articles, an attacker can hide instructions in that content and reach your users without ever talking to them. We test every channel your application uses.
Cross-user impact: Using two test accounts, we demonstrate whether one user can attack another through injected content, which is the difference between a curiosity and a reportable vulnerability.
RAG poisoning: Where your model grounds its answers in retrieved data, we verify that attackers who can write to that data cannot bend its answers to their advantage.
Why It Matters
Real-world incidents show what is at stake: assistants that leak confidential data, follow instructions hidden in customer reviews, or take unauthorized actions in users' accounts. The same failure modes apply to chatbots, summarizers, coding assistants, and background AI services alike.
Deliverables
Findings report: Each finding includes reproducible steps, the business impact, and a mapping to the OWASP Top 10 for LLM Applications and MITRE ATLAS.
Prioritized remediation: Practical, layered fixes your developers can apply, from access control to content isolation.
Regression tests: Every verified issue becomes a repeatable test you can add to your CI pipeline.
Put Your AI Features to the Test
Contact us today to scope an AI penetration test. We will walk you through the realistic attack paths against your deployment and where untrusted input meets something that matters in your application.