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Secure AI Adoption
Move from AI experiments to production, securely.
Most enterprises are adopting AI faster than they can secure it. Secure AI Adoption gives you a clear, independent path from pilots to production, assessing readiness, designing a secure AI architecture, putting the right guardrails and controls in place, and enabling your teams to use AI responsibly. You get the upside of AI without inheriting a new class of risk.
What We Cover
The specific areas we assess in this practice.
AI Readiness Assessment
Assess where you are, where the value is, and what must be true to adopt AI safely.
Secure Architecture Design
Reference architectures for GenAI, RAG, and agents with security built in from day one.
Guardrails & Controls
Input/output controls, data boundaries, and policy guardrails around every AI system.
Enablement & Training
Get your teams using AI within clear, safe boundaries, not around them.
How the engagement runs
A disciplined, repeatable process, so findings are reproducible and fixes are verified.
- 01
Assess
Gauge readiness, use cases, and the risk you can accept.
- 02
Design
Define a secure AI architecture and control set.
- 03
Implement
Stand up guardrails and controls around your AI systems.
- 04
Enable
Train teams to adopt AI safely and sustain the controls.
Regulatory relevance
AI adoption mapped to ANZ expectations:
- ISO 42001
- APRA CPS 234
- Essential 8
- ISO 27001
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