AI governance your regulator will recognise
End-to-end AI governance designed for regulated environments, with full auditability and policy enforcement built in.
Shadow AI is already inside your perimeter
Engineers don't wait for procurement to approve a new model. They use their personal API keys, bypass the approved stack, and start sending production data to unapproved providers. By the time your CISO finds out, there's a live workload processing customer PII on a model your risk team has never reviewed. In APRA-regulated environments, that's not a policy violation - it's a reportable incident.
Unapproved models are already processing production data in most enterprises
API key proliferation means any engineer can stand up a new AI workload in minutes. Without an enforcement layer, your approved-model list is a wishlist, not a control.
PII leakage through AI prompts is the compliance risk no one is measuring
Customer names, tax file numbers, and Medicare numbers flow through AI prompts daily - often without scanning, logging, or consent validation. APRA's CPS 234 and the Privacy Act 1988 require documented controls.
Audit evidence must be produced on demand - and almost no one has it
When a regulator asks for evidence of your AI governance controls, 'we have a policy document' is not an answer. Immutable logs, role-based access records, and model usage evidence are what regulators expect.
Approved-model enforcement and governance policies
SAVI enforces governance policies at the model access layer - not just in the dashboard. Each policy defines which models are approved, which are restricted, and what happens when a boundary is crossed: alert the team, or block the request outright. New models require a documented policy update before they can receive production traffic. Shadow AI is caught at the perimeter, not in a post-incident review.
- Approved and restricted model lists configurable per team and department - violations are logged immediately
- Policy mode per workload: alert (log and continue) or block (reject and notify) - no silent pass-through
- Risk-tier classification on every model - low, medium, and high - so enforcement scales with sensitivity
| role | allowedModels | approval |
|---|---|---|
| ML Engineer | Claude Sonnet 4GPT-4o-miniGemini Flash | Self-serve (low risk) |
| Senior ML Engineer | + Claude Opus 4GPT-4oLlama 3.1 70B | Team Lead approval |
| Compliance AI Lead | Claude Opus 4GPT-4o (read-only audit) | CISO approval |
| Data Scientist | Bedrock TitanGemini 1.5 FlashCohere Command R | Self-serve (low risk) |
| Contractor / External | Sandboxed environment only - no production access | CISO + legal approval |
Swipe to see all columns →
Governance Policy · Production Environment · Role-based model access
PII Scan Events · Last 24 hours · 4 events · 2 critical · 2 monitored
PII scanning on every prompt before transmission
SAVI's PII scanner runs on every prompt inside the SDK - before any data leaves your environment. Sensitive entities are detected and masked client-side, so raw PII never reaches SAVI's servers or your AI provider. Detected PII can be redacted, flagged, or used to block the request entirely based on configurable policy. Every detection event is logged with the entity type and action taken.
- Australian-specific PII detection - TFN, ABN, Medicare number, and Australian phone number patterns included alongside names and email addresses
- Configurable policy per workload: redact silently, alert FinOps, or block the request entirely
- Detection events logged with entity type and action for Privacy Act 1988 compliance evidence
Immutable audit logs for regulatory readiness
Every AI interaction in SAVI's perimeter generates an immutable audit log entry - model used, team, prompt fingerprint, PII scan result, and cost. Logs are stored with WORM (Write Once, Read Many) protection, making them tamper-evident and admissible as governance evidence. When regulators or internal audit ask for evidence of your AI governance controls, SAVI produces a structured export in minutes, not weeks.
- WORM-protected log entries - once written, they cannot be modified or deleted before the retention period expires
- 13+ months default retention - configurable to meet your organisation's compliance obligations
- JSON export via API - structured for compliance reporting and direct regulatory submission
Audit Log Controls · Compliance Evidence Pack · Last exported: 1 Jun 2026
Private Deployment · Timeline scoped with your team during onboarding
Private deployment for critical infrastructure
For APRA-regulated entities and critical infrastructure operators, SAVI can deploy entirely within your own environment - your prompts, responses, and audit logs never cross your perimeter. Every governance control available in the cloud runs identically on-premises. Your data sovereignty obligations are met without sacrificing a single governance capability.
- Full feature parity - every governance control, PII scan policy, and audit log works identically in your private deployment
- Deploys into your existing cloud environment or private data centre - your data never leaves your network
- Complete operational isolation - SAVI's team has no access to your prompts, responses, or audit data
Governance Console · Observability + Data Control
Works with your tools. Your data stays yours.
SAVI surfaces every AI interaction in the observability dashboards your team already uses - cost, carbon, and anomaly signals alongside your existing infrastructure metrics, automatically. No additional tooling to adopt, no new dashboards to build. And when it comes to your data: every enterprise customer holds their own encryption key. SAVI cannot read your data - not your prompts, not your audit logs, not your agent traces. When your contract ends or you request deletion, your key is deleted. Everything encrypted with it becomes permanently and instantly unrecoverable. Provable to your DPO the same day.
- Connects to the observability tools your team already uses - AI cost and governance signals appear in your existing dashboards automatically
- You hold your own encryption key - SAVI cannot access your data, and never could
- Data deletion is instant and provable - no manual sweep, no waiting period, no exceptions
Governance
Could you produce an AI audit trail tomorrow?
7 questions. Answer honestly.
Can you produce a complete list of every AI model that processed production data in the last 90 days?
Do you have documented evidence of which employees have access to which AI models - and who approved it?
Can you prove that every prompt containing customer PII was either scanned, redacted, or explicitly approved?
If a regulator asked for your AI audit log tomorrow, could you export it in a structured format within 24 hours?
Do you know which AI workloads are operating outside your approved model list right now?
Could you demonstrate to your board that your AI governance controls meet Australia's National AI Plan obligations?
If a customer contract ended today, could you prove their data was deleted - completely and immediately - without a manual database sweep?
This checks one slice of your AI estate. Take the full AI Cost Ownership Assessment →
Your AI gap score
Answer to begin
Complete all questions to see your result
Govern AI before it governs you.
SAVI enforces approved-model policies, scans every prompt for PII, and produces regulator-ready audit logs - with private VPC deployment scoped for organisations that need it. Book a compliance review call today.
