Security
Drawing secure boundaries around AI features
Threat models and guardrails for teams adding generative AI into customer-facing products.
Generative AI expands your attack surface the moment it can read customer data, call tools, or influence decisions.
Map trust boundaries early: what the model can see, what it can invoke, and what a user can coax it into revealing. Apply least privilege to tool access, redact sensitive fields before they reach the model, and log every privileged action.
Add guardrails that fail closed — content filters, allowlisted tools, rate limits, and human approval for irreversible actions. Pair that with red-team prompts and periodic review of production traces.
Secure AI is not a single control. It is a set of boundaries that keep useful features from becoming silent data leaks or automated abuse paths.