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.
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