AI & LLM Security Testing

LLM security testing examines AI-powered features, such as chatbots, copilots, RAG search and autonomous agents, for vulnerabilities that traditional testing misses. Large language models can be manipulated through their inputs, leak sensitive data or take unsafe actions through connected tools. We test these risks before attackers or curious users find them.

What We Test

• Prompt injection: direct and indirect injection through documents, web pages and user content.
• Jailbreaks and guardrail bypass that produce harmful or off-policy output.
• Sensitive data leakage: system prompts, training data, other users’ data and RAG sources.
• Insecure tool and plugin use: agents calling APIs, databases or code execution unsafely.
• Insecure output handling leading to XSS, injection or unsafe automated actions.
• Access control around the AI feature and its connected data.

Our Approach

Our testing is aligned with the OWASP Top 10 for LLM Applications. We review how your model, prompts, retrieval pipeline and tools are connected, then run targeted manual attacks and repeatable test cases against the live feature. The surrounding web application and APIs are tested too, because most AI incidents happen at these boundaries.

What You Get

• A clear report of successful attacks with prompts and outputs as evidence.
• Risk ratings and practical mitigations: input/output controls, permission design and monitoring.
• Guidance your product and ML teams can apply immediately.
• A retest after your mitigations are in place.

Why Offensium Vault

• Hands-on offensive security experience applied to new AI attack surfaces.
• Combined testing of the model behaviour and the application around it.
• ISO 27001 and ISO 9001 certified processes.

Read our articles on LLMs in cybersecurity and large language model security risks.

Frequently Asked Questions

Which AI systems can you test?

Chatbots, customer support assistants, internal copilots, RAG-based search, and AI agents built on commercial, open-source or custom models.

Do you need access to the model itself?

No. Most testing is performed through the same interfaces your users have. Access to prompts, architecture and tool configuration helps us test more thoroughly.

Is AI security testing a one-time exercise?

Model updates, new prompts and new tools can introduce new risks, so we recommend retesting after significant changes.

Get a Quote

Tell us about your environment and timelines and we will send a clear, fixed-scope proposal. Contact Offensium Vault or book a free call with our team.