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    AI Security Testing

    AI Systems Penetration Testing

    Focused and context-aware. Penetration testing for AI and machine learning systems such as LLMs, chatbots, and AI functionality within applications. We test prompt injection, data leakage, and the effectiveness of guardrails to uncover abuse and unintended behaviour early.

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    Testing Scope

    LLM prompt injection testing
    Model manipulation and poisoning
    AI output validation bypass
    Data extraction through AI interfaces
    Jailbreaking and guardrail bypass
    AI-assisted attack surface analysis

    Our Approach

    Prompt Analysis

    We test whether AI systems can be manipulated through prompts, context manipulation, or hidden instructions. This helps identify how users or attackers might steer the model beyond its intended behaviour.

    Guardrail Testing

    We deliberately attempt to bypass existing safety rules and restrictions. This reveals where guardrails fall short and which risks arise from misuse or unintended behaviour.

    Data Leakage

    We assess whether sensitive information can be exposed through model responses, prompts, or connected systems. This includes testing for both direct leakage and indirect exposure via integrations.

    Frequently Asked Questions

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