Context Security

Context security covers the risks that come from feeding external or untrusted content into an AI system. A malicious document, email, or web page can contain hidden instructions designed to manipulate the model, a technique known as prompt injection. Poor access controls can also let a model surface data to a user who should not see it, or let sensitive information leak through tool calls and logs. Building context pipelines securely means validating sources, applying permission checks before data reaches the model, and treating retrieved content as data rather than as trusted instructions.