AI Chatbot Security Testing

Test a highly exposed input channel

Chatbots accept open-ended natural language, often from unauthenticated or low-trust users. We test whether that flexibility can be used to bypass the chatbot's intended role.

Protect conversations and user separation

Conversation history, cached context and shared services can create routes to another user's or tenant's data. We assess whether those boundaries hold.

Check knowledge-base access

A chatbot should not treat possession of a prompt as permission to retrieve a document. We test whether knowledge access follows the user's real authorisation.

Assess uploads, links and retrieved content

Documents and external content may carry hidden or conflicting instructions. We test whether those sources can manipulate responses or trigger unsafe behaviour.

Test actions as well as answers

Some chatbots create tickets, send messages, update records or make purchases. We assess whether a user can trigger actions beyond their permissions or avoid an intended approval step.

Find conventional application weaknesses

Authentication flaws, insecure APIs, unsafe output rendering and weak rate limiting can turn a chatbot issue into data theft, account compromise or service disruption.