December 2026 — Australian Privacy Act ADM Reforms

Enterprise AI That's
Provably Compliant

The 9-Layer Shield delivers patent-protected hallucination detection, immutable audit trails, and zero-knowledge privacy validation — purpose-built for Australia's most significant AI compliance deadline.

9
Patent-Protected Validation Layers
4%
Maximum Revenue Penalty — Privacy Act 2026
90
Days to Deploy — Before the December Deadline
99.9%
Reduction in Manual Compliance Overhead

December 2026 Changes Everything for Australian AI

Australia's Privacy Act ADM (Automated Decision-Making) reforms bring unprecedented liability for any organisation deploying AI in client-facing roles — voice agents, chatbots, automated approvals, or any system making decisions about individuals.

Businesses that cannot produce a complete audit trail of AI decisions and outputs face the same exposure as a financial institution caught mishandling customer data.

4%
of global annual revenue — the maximum penalty for non-compliant AI deployments under the reformed Privacy Act. For a $5M business, that's a $200,000 exposure.

The Sunaiva 9-Layer Shield is not a checkbox exercise. It's production infrastructure that makes your AI deployments auditable, defensible, and legally compliant — deployed in 90 days, well before the deadline.

⏱ December 2026 Compliance Deadline
10
Months
46
Weeks
322
Days
7728
Hours
Sunaiva deploys in 90 days
Full audit trail operational before your deadline. Start today.

The 9-Layer Shield™

Nine independent validation layers, each backed by patent-pending technology. Running in real-time, on every AI interaction, before outputs reach your customers.

🛡️
1
Truth Layer — Hallucination Detection
Real-time detection of AI fabrications before output delivery
P1
LIVE
2
Risk Layer — Multi-Dimensional Assessment
Scores every AI output across compliance, accuracy, and liability dimensions
P3
LIVE
3
Audit Layer — Immutable Cryptographic Trail
Every AI decision logged to tamper-proof distributed ledger
P4
LIVE
4
Privacy Layer — PII Detection & Redaction
Automatic identification and protection of personal information
P8
LIVE
5
Consensus Layer — Multi-Model Validation
Cross-validates outputs across multiple AI models for accuracy
P5
LIVE
6
Crypto Layer — Origin Signing
Cryptographic proof of AI output provenance and integrity
P1
Q2 2026
7
Confidence Layer — Dynamic Scoring
Assigns confidence scores to every AI decision for auditability
P6
LIVE
8
Threshold Layer — Auto-Adjustment
Adapts compliance thresholds to regulatory changes automatically
P9
Q3 2026
9
Freshness Layer — Currency Validation
Ensures AI outputs use current, not outdated, knowledge
P2
Q4 2026

Audit Root of Trust

At the foundation of the 9-Layer Shield is our patented Audit Root of Trust — a cryptographically verifiable chain of AI decisions anchored by three core patents: Distributed Ledger Consent Verification (P3), Cryptographic Audit Chain Architecture (P4), and Zero-Knowledge Compliance Proofs (P7).

These technologies create an immutable, independently verifiable record of every AI interaction — what was said, what decision was made, what data was used, and whether it complied with your regulatory obligations. Fully automated. Zero manual overhead.

  • Every AI call to clients automatically logged and scanned
  • Zero hallucinations, zero high-risk promises reach your customers undetected
  • Daily compliance report: 50 interactions, 0 hallucinations, 1 risk flag
  • Regulatory audit response generated in minutes, not weeks
  • Verified by AgileAdapt badge displays on every client-facing page
  • Full API access for integration into existing compliance workflows

Patent Portfolio

Seven patent-pending technologies that create a defensible moat around the most critical challenges in enterprise AI deployment.

P1 Priority Filing
Real-Time Hallucination Detection for AI Language Model Outputs
Novel method for detecting AI fabrications in real-time before they reach end users. Working implementation in production across all Sunaiva voice agents.
Live in Production — Filing within 60 days
P6 Priority Filing
Recursive Language Model Memory Architecture
Five-system unified memory topology (PostgreSQL + Qdrant + Redis + Vector + Graph) enabling AI agents to build self-improving knowledge bases that persist across sessions.
Core Architecture — Filing within 90 days
P7 Priority Filing
MCP-Based Real-Time Memory Injection for AI Voice Agents
Method for injecting contextual memory into AI voice agents at call initiation, enabling personalised, history-aware conversations at scale.
Live in Voice Agents — Filing within 120 days
P3
Multi-Dimensional Risk Assessment for AI Outputs
Scores AI outputs across compliance, accuracy, and liability dimensions simultaneously using a novel multi-axis evaluation framework.
Live in MCP — Filing 2026
P4
Immutable Cryptographic Audit Trail for AI Decisions
Creates tamper-proof, distributed ledger records of every AI decision for regulatory reporting and legal defensibility.
Live in MCP — Filing 2026
P5
Multi-Model Consensus Validation
Cross-validates critical AI outputs against multiple independent models before delivery, eliminating single-model failure risk.
Live in MCP — Filing 2026

The Recursive Memory Architecture

AI that learns, remembers, and improves across every interaction — with verifiable provenance for every piece of knowledge.

Sunaiva Memory Stack (Patent P6)
🧠
Recursive Orchestrator
Surprise-based knowledge extraction
🗄️
PostgreSQL
Relational entities & state
🔍
Qdrant
Vector semantic search
Redis
Working memory & caching
🕸️
Knowledge Graph
Entity relationships & axioms

Memory That Compounds, Knowledge That Audits

Most enterprise AI systems forget everything after each interaction. Sunaiva's Recursive Memory Architecture (Patent P6) builds a self-improving knowledge base that persists, compounds, and remains fully auditable.

Every entity is only written when the surprise score reaches 0.50 — eliminating noise and ensuring the memory system captures only what genuinely matters. Bi-temporal timestamps provide the full provenance chain required for regulatory audit.

"The memory moat concept — recursive digestion of AI outputs to build a self-improving knowledge base that persists across sessions and agents."

— Sunaiva Patent P6 specification
  • Every AI interaction enriches the knowledge base
  • Knowledge graph tracks entity relationships over time
  • Full provenance chain for every stored fact
  • Voice agents remember every customer, every call, every context
  • Searchable audit trail for regulatory compliance

Deploy Before the Deadline

Three deployment tiers. All include the full 9-Layer Shield. All backed by patent-pending technology.

Compliance Add-On
Compliance Pack
$297 AUD/month
Add compliance validation to your existing Sunaiva voice agents. Daily audit reports, hallucination scanning, and Privacy Act documentation.
  • All calls scanned by 9-Layer Shield
  • Daily compliance report delivered
  • Immutable audit trail maintained
  • Hallucination and risk detection
  • Verified by AgileAdapt badge
Enquire Now →
Enterprise Licensing
Enterprise License
Custom pricing
For financial institutions, healthcare providers, and government agencies. Includes confidential computing integration and bespoke audit configuration.
  • Custom deployment architecture
  • Confidential computing integration
  • Dedicated compliance consultant
  • Custom regulatory reporting
  • On-premises deployment option
  • Executive briefing and legal review
Contact Enterprise →
🛡️
Compliance Verified by
AgileAdapt
9-Layer AI Shield — Active

Displayed on every verified client website as proof of compliance certification

"Verified by AgileAdapt"

Every business that deploys the Sunaiva 9-Layer Shield earns the right to display the Verified by AgileAdapt compliance badge on their website, marketing materials, and client-facing AI deployments.

This badge signals to prospects, clients, and regulators that every AI interaction on that platform has been independently validated, logged to an immutable audit trail, and tested against Australia's December 2026 privacy requirements.

As December 2026 approaches, this badge becomes a competitive differentiator — proof that the business took compliance seriously before it was required, not after enforcement actions began.

Earn the Badge →

90-Day Deployment Timeline

From enterprise briefing to full compliance certification — well ahead of December 2026.

1
Enterprise Briefing
30-minute technical review of your current AI deployments and compliance gaps. We identify which layers your business needs.
2
Shield Configuration
9-Layer Shield configured to your industry, risk profile, and regulatory requirements. API integration with your existing stack.
3
Validation & Testing
All AI interactions run through the Shield in shadow mode. Baselines established. Thresholds calibrated. Audit trail confirmed working.
4
Certified & Badged
Full deployment live. Compliance reports operational. Verified by AgileAdapt badge deployed. Audit documentation ready for regulatory review.

Average deployment: 90 days from contract to certification. December 2026 deadline: comfortably achievable for businesses starting today.

Ready Before the Deadline.

Book an enterprise briefing. We'll review your current AI deployments and show exactly which compliance gaps the 9-Layer Shield closes.

Direct enquiries: enterprise@sunaiva.com  ·  Australian business  ·  Queensland-based team