AI Security & GuardrailsThe Safety Net the AI Needs.

AI security is the work of making the AI safe to ship — prompt injection defence, data leakage prevention, the eval suite, the red team, the audit log, the model swap path, the deployment on the infrastructure the security review requires. The work is the safety net, the deployment is the constraint, the eval is the test.

We do AI security as engineering work, with the threat model, the guardrails, the eval suite, the red team, the audit log and the deployment as part of the architecture from sprint one. The output is an AI the security review can pass, not a wrapper that adds friction without safety.

This is the wrong engagement if the AI is not yet ready to ship. The right answer there is an AI development engagement, with the security as part of the build, not a separate wrapper.

• Threat Model — A written threat model the security team can review, not a slide deck.
• Red Team Tested — A red team exercise, the eval suite and the regression tests the AI needs.
• Audit-Logged — Every input, every output, every action logged for the audit the security review needs.
• On Your Infra — On your VPC, on your hardware, with the deployment model the security review requires.