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Securing the AI Frontier: LLM Pentesting

As enterprises integrate Generative AI into their workflows, they open up a new attack surface: Prompt Injection. Securing LLMs requires a blend of prompt engineering and traditional security audits.

The OWASP Top 10 for LLMs

  • Prompt Injection

    Forcing the AI to bypass its safety filters and leak system data.

  • Insecure Output Handling

    When the AI's output is directly executed as code or HTML, leading to XSS.

  • Training Data Poisoning

    Manipulating the AI's knowledge base to provide biased or malicious responses.

  • Model Inversion

    Extracting private training data through targeted queries.

AI Governance (ISO 42001)

Beyond technical bugs, we assess if your AI deployment complies with emerging global standards for ethical and secure AI management.

Test Your Chatbot

Are your internal LLM applications leaking sensitive company data? Find out with an AI Pentest.

Audit My AI

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