Overview/Register/Secure AI Architecture & Engineering
Secure AI Architecture & Engineering
Design the security of AI systems before they are built, and put guardrails on what already runs.
Tab F Services in this area
| Ref | Service | What it does |
|---|---|---|
| AE-01 | Secure AI Architecture Design & Review | Designs or reviews the security architecture of AI systems: model hosting, data stores, APIs and integrations. |
| AE-02 | AI Threat Modeling | Finds how attackers can misuse or attack an AI system, early in the design. |
| AE-03 | Secure AI SDLC & MLOps Security | Adds security requirements, reviews and automatic tests to how teams build, train and deploy AI. |
| AE-04 | AI Guardrail Design & Implementation | Designs and installs runtime guardrails that block prompt injection, unsafe output and data leaks. |
In detail 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.
Deliverables: Reference architecture · review findings · hardening list
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AE-02
AI Threat Modeling
Finds how attackers can misuse or attack an AI system, early in the design.
Deliverables: Threat model · abuse cases · control recommendations
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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.
Deliverables: Secure AI SDLC standard · pipeline security tests · developer checklists
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AE-04
AI Guardrail Design & Implementation
Designs and installs runtime guardrails that block prompt injection, unsafe output and data leaks.
Deliverables: Guardrail design · configured guardrails · test results
We are not accepting new clients at present, so no briefing is running on Secure AI Architecture & Engineering. The services in this area are described above.
Read the availability note