Strategic Advisory
Govern AI and agents before they run ahead of you.
A policy, risk and oversight framework for Microsoft Copilot, Agent 365 and third-party AI — aligned to NIST AI RMF, OWASP ASI Top 10 and the AU AI Ethics Principles.
Why Now
AU Voluntary AI Safety Standard (Sept 2024), mandatory guardrails consultation in flight, Privacy Act statutory tort and APRA expectations on AI risk all demand documented AI governance — not slideware.
Diagnose → Advise → Sustain
10
AU Voluntary AI Safety Standard guardrails to evidenceMicrosoft AI platforms in scope — Copilot, Agent 365, Foundry
Top 10
OWASP Agentic Security Initiative risks mapped to controls
2–3 wks
AI estate & shadow-AI discovery — Copilot, agents, models
Quarterly
AI risk forum, control testing and board assurance pack
An AI risk rhythm your CISO, Risk Committee and regulator all recognise.
A three-phase advisory model — distinct from delivery — so your CISO, Risk Committee and audit team see the same AI inventory, the same risk register and the same controls evidence.
What you walk away with
Eight artefacts your CISO, Risk Committee and regulator will accept.
Every output is designed to land cleanly in board risk papers, audit responses and regulator conversations — not collect dust in a SharePoint folder.
01.
AI & Agent Inventory
Every Copilot deployment, Agent 365 build, model and shadow-AI tool — owner, data exposure and business purpose on every line.
02.
Risk Classification Heatmap
High / medium / low risk per use case, scored against NIST AI RMF and the AU Safety Standard guardrails.
03.
Data Flow & Sensitivity Map
What data feeds which AI, mapped through Purview — so you can answer the privacy and IP questions before they're asked.
04.
AI Policy Set
Acceptable use, model risk and agent lifecycle policies — drafted for your environment, not lifted from a template.
05.
Model & Agent Risk Register
A live register with intake workflow, treatment plans and owners — wired into your existing GRC tooling.
06.
Control Map
Controls mapped to NIST AI RMF, OWASP ASI Top 10, AU AI Ethics Principles and Microsoft Responsible AI Standard — defensible under audit.
07.
AI Governance Forum Charter
Terms of reference, RACI, cadence and decision rights — so AI oversight runs as a forum, not as a fire drill.
08.
Board & Regulator Assurance Pack
A quarterly evidence pack — risks, controls, incidents, treatment status — ready for board, audit or regulator.
Why SecureNative
AI governance that runs — not a policy on a SharePoint shelf.
Security-native, not glossy
We come at AI governance from cyber and identity — so the controls are wired into Defender, Purview and Entra, not bolted on as policy theatre.
Regulator-grade evidence
Risk register, control map and assurance pack are built to survive APRA, OAIC and audit conversations — not just an internal slideware review.
Microsoft-deep, vendor-honest
We know exactly where Copilot, Agent 365 and Purview controls genuinely cover risk — and where you need policy, process or third-party tooling instead.
Anchored to Trusted Pathways
The framework sequences directly into Secure Copilot Adoption, Data Security & Purview AI Readiness and Advanced Identity for downstream delivery.
Frequently asked
What buyers ask before they commit.
Isn't this just an AI policy document?
How do you handle shadow AI — personal ChatGPT, unsanctioned tools?
What changes when the AU mandatory AI guardrails land?
How does this work alongside our existing GRC tooling?
How does this connect to the other advisory offers?
Next Step
Book an AI governance diagnostic.
One hour with a SecureNative advisor, your CISO, Risk lead or Privacy Officer. We’ll baseline your AI estate, surface the shadow AI you don’t know about — and tell you, in writing, where your governance gaps actually sit.