AI and LLM Security

LLM Application Security Testing

We test your AI assistant together with its interface, permission structure and backend services. We show which data and actions each user role can access through the model.

What it is

An LLM application is not just the model. The interface, session management, knowledge sources and the services the model calls are also part of the system. The test examines the risks in the OWASP Top 10 for LLM Applications 2025 across all these layers. Classic web vulnerabilities are also covered in the same engagement according to OWASP ASVS.

Scope

  • Interface, APIs and session management
  • Whether other users can access conversation history and uploaded files
  • Direct and indirect prompt injection scenarios
  • Leakage of information written in the system prompt
  • How model output is processed in the interface and backend
  • Usage limits and requests that increase cost without control

The need

When organizations need it

  • Before a customer-facing chat assistant is launched.
  • When a new data source or tool will be connected to an existing assistant.
  • When the model or model provider will change.

Method

How we work

  1. System map

    We identify the sources the model reads, the tools it calls and the permissions of each role.

  2. Test accounts

    We use test accounts in the different roles you define.

  3. Repeated scenarios

    A model does not always give the same answer to the same input. Therefore, we run each scenario multiple times.

  4. Controls outside the model

    We report findings with the permission, approval and validation controls to be applied outside the model.

Outcome

What you have at the end

You see which data and actions each user role can access through the model. Findings include how often each was reproduced and the controls to apply outside the model.

Frequently asked questions

Does the model choice affect the result?

Partially. Models have different levels of resistance to manipulation. However, most risk comes from the data and tools the model is connected to. We recommend rerunning scenarios when the model changes.

Is testing performed in production?

Preferably in a test environment equivalent to production. If production testing is required, test accounts that do not access real customer data and cost limits are agreed in advance.

AI and LLM Security

Other services in this area

Let's talk about this service.

Tell us briefly what you need. We will agree on the scope and timing together in the first meeting.

Schedule a Meeting