SERVICES / SECURITY & COMPLIANCE
AI Security & Compliance
Stand up the evidence architecture, controls, and incident response your AI estate needs to survive an audit. NIST AI RMF and ISO 42001 aligned. Built before the regulator asks — not after.
THE CHALLENGE
AI evidence assembled after the audit lands
When the regulator, auditor, or board asks how an AI system reached a decision, most organisations stitch evidence from scattered logs, screenshots, and someone's memory. That doesn't pass.
No structured evidence chain from prompt → policy → output → cost
NIST AI RMF and ISO 42001 alignment unclear or untested
Incident response for AI undefined — who owns it, what gets captured, how it's reported
HOW WE DELIVER
Our Approach
Assess
Map the AI estate against NIST AI RMF, ISO 42001, and your sector's regulatory expectations. Surface the gap between today and audit-ready, with a prioritised remediation plan the risk committee can sign off.
Architect
Stand up the evidence architecture — trace retention, policy decision logs, cost attribution, human-in-the-loop capture — wired into the control layer of every live use case. Designed for export, not for retrieval under pressure.
Respond
Pre-build the incident response runbooks and audit pack templates so the real event isn't anyone's first run. Quarterly board packs and on-demand regulator exports populate from the live evidence chain — not assembled the week before.
WHAT YOU GET
Deliverables
Every deliverable is pre-built, reusable, and handed over with the artefact — not just the idea. What follows is what lands on your desk, what's inside it, and the format it arrives in.
Compliance Gap Assessment
Where the AI estate stands against NIST AI RMF, ISO 42001, and sector regulation — with a prioritised remediation plan.
What's inside
- NIST AI RMF control mapping
- ISO 42001 readiness review
- Sector-specific regulatory alignment (APRA, AUSTRAC, ASIC)
- Prioritised remediation roadmap
Evidence Architecture
End-to-end evidence chain from prompt to output — trace, policy decision, cost, human review — captured per interaction, exportable on demand.
What's inside
- Trace retention policy aligned to data class
- Policy decision and approval history capture
- Cost attribution by use case and BU
- Human-in-the-loop decision capture
Incident Response Runbook
Pre-built response for AI incidents — model drift, policy breach, data leakage, prompt injection — with named owners, capture protocols, and reporting paths.
What's inside
- Incident classification matrix
- Named response owners and escalation tree
- Evidence capture protocol per incident type
- Reporting paths to risk / audit / regulator
Audit Pack Templates
Pre-built quarterly and on-demand audit packs — populated from the live evidence architecture, not assembled the week before.
What's inside
- Quarterly board-ready audit pack
- On-demand regulator response template
- Per-use-case audit trail export
- Sign-off and chain-of-custody log
To audit-ready
Standards aligned
Evidence per interaction
Audit pack export
Be ready before the regulator asks
Build the evidence architecture and response posture once — so audits, incidents, and board questions stop being scrambles.