Overview/Register/ Secure AI Architecture & Engineering/AE-04
AI Guardrail Design & Implementation
Designs and installs runtime guardrails that block prompt injection, unsafe output and data leaks.
AE-04 What this service does
Designs and installs runtime guardrails that block prompt injection, unsafe output and data leaks.
It is delivered inside the Secure AI Architecture & Engineering practice area, which exists to design the security of AI systems before they are built, and put guardrails on what already runs.
The engagement is scoped at the briefing; nothing here is priced on the page. What is fixed is the output: the artefacts below are what you hold at the end.
AE-04-D Deliverables
On handover- Guardrail design
- configured guardrails
- test results
Where it sits Delivery context
- Practice area
- Secure AI Architecture & Engineering (Tab F, reference AE)
- Service reference
- AE-04
- Indicative tier
- Critical. Tiers are indicative of the risk this service addresses and are not client data.
- Why the area exists
- Design the security of AI systems before they are built, and put guardrails on what already runs.
- Evidence
- Practitioner credentials behind this work are listed once, in full, on the credentials page. We publish no client names.
Same tab Other services in Secure AI Architecture & Engineering
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AE-01
Secure AI Architecture Design & Review
Designs or reviews the security architecture of AI systems: model hosting, data stores, APIs and integrations.
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AE-02
AI Threat Modeling
Finds how attackers can misuse or attack an AI system, early in the design.
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AE-03
Secure AI SDLC & MLOps Security
Adds security requirements, reviews and automatic tests to how teams build, train and deploy AI.
We are not accepting new clients at present, so no briefing is running on AE-04. What this service produces is set out above.
Read the availability note