Discovers Unsanctioned AI Use
Trace monitors AI use across browsers, endpoints, network gateways, API calls, and SaaS platforms. Discover which public AI tools employees are using and identify where customer personal data is at risk of exposure.
Compliance Framework Platform · Australian Privacy Principles
Privacy Act 1988 & AI Governance Evidence Platform
Govern generative AI adoption across your organisation. APEXLyn Trace monitors prompt flows, prevents unauthorised personal and health data disclosures, and preserves forensic-grade evidence records in AWS Sydney.
AWS Sydney Residency
All evidence processed and stored in ap-southeast-2 under Australian law.
WORM Immutable Storage
Write Once, Read Many storage prevents altering or deleting evidence records.
APP 1, 6, 8, 11 Alignment
Pre-configured controls preventing secondary disclosure of protected PII.
How Trace protects personal data from AI exposure
A written AI acceptable-use policy cannot prevent an accidental data breach. APEXLyn Trace adds the active enforcement and evidence layer your existing stack does not provide. For deep analysis of AI risk under Australian privacy regulations, consult our executive brief on AI governance requirements.
Automates Real-Time APP Safeguards
Block, warn, redact, educate, or audit: your Privacy Act rules apply automatically across all seven enforcement layers. Most-restrictive-wins is a hard platform rule that cannot be overridden by weaker permissions.
Cryptographic Audit Evidence
Every governed AI interaction produces an immutable evidence record sealed in AWS Sydney WORM storage with SHA-256 hash chaining. Defensible technical proof for privacy audits, boards, and regulatory queries.
Integrates with Existing Controls
Trace works alongside your existing EDR, SIEM, and proxy stack. It acts as the specialised AI decisioning and evidence layer that general-purpose security and compliance tooling does not provide.
$50,000,000 AUD
Statutory maximum penalty (or 30% of adjusted turnover) for serious or repeated privacy interferences under the Privacy Act 1988.
OAIC Active Scrutiny
The Office of the Australian Information Commissioner actively investigates internal mishandling, secondary disclosures, and unvetted AI tools.
100% AWS Sydney
All evidence cryptographically chained and sealed in immutable Write Once, Read Many storage under Australian data residency.
Direct Mapping to Australian Privacy Principles
Trace operationalises your legal privacy obligations, turning written guidance into active perimeter controls and audit-defensible records.
APP 1 — Open and Transparent Management
Organisations must manage personal information in an open and transparent manner, maintaining documented security practices.
Trace Control & Evidence
Trace maintains a continuous automated inventory of AI tools accessed across the business, recording which models are invoked, by whom, and under which compiled policy ruleset.
APP 6 — Use or Disclosure of Personal Information
Personal information collected for a specific purpose must not be disclosed for secondary purposes without consent or an applicable exemption.
Trace Control & Evidence
Real-time deterministic and semantic inspection prevents employees from pasting customer records, claims data, or identifiers into external AI tools, preventing unauthorised disclosure.
APP 8 — Cross-Border Disclosure of Personal Information
Entities disclosing personal information outside Australia must take reasonable steps to ensure the overseas recipient complies with APPs.
Trace Control & Evidence
Trace allows organisations to establish destination-tier policies, blocking sensitive prompt flows to unvetted overseas AI servers while routing approved corporate prompts through designated endpoints.
APP 11 — Security of Personal Information
Reasonable steps must be taken to protect personal information from misuse, interference, loss, and unauthorised access or modification.
Trace Control & Evidence
Automated prompt redaction strips sensitive PII before transmission. Tamper-proof WORM evidence records prove to auditors and the OAIC that active protective safeguards were enforced.
Seven layers of AI governance, not one
Most AI governance tools rely on a single control point. Trace operates across seven enforcement layers so that AI use is governed no matter how it happens: through a browser, an app, an API, a developer pipeline, or an internal model.
The browser extension monitors AI interactions happening through web browsers, the most common way employees access AI tools. It provides entitlement-aware inspection, meaning the depth of inspection matches what the organisation’s plan includes. For supported content, the extension parses locally where possible and routes larger files or images through the hosted gateway for deeper inspection. If the extension encounters a temporary failure, service worker restart, stale policy cache, browser storage issue, or classification service unavailability, it follows explicit failsafe behaviour rather than silently allowing uncontrolled AI use.
How Trace classifies and redacts personal data
Trace does not rely on simple keyword matching. It uses a staged classification pipeline that applies multiple inspection methods in sequence, from fast deterministic checks to deeper semantic analysis, before making a policy decision.
01
Preprocessing
Content normalisation and format detection before inspection begins.
02
Deterministic validation
Fast pattern-based checks for known sensitive data types: Australian Tax File Numbers (TFN), Medicare numbers, credit cards, bank accounts, and health identifiers.
03
Semantic classification
Deeper content analysis to identify sensitive information that does not match simple patterns: medical records, legal privilege, clinical histories, personally identifiable context.
04
Prompt injection detection
Detection of prompt injection attempts where an input tries to manipulate the AI model into bypassing controls or revealing protected information.
05
Context enrichment
Enrichment from connected sources: who is the user, department, device, destination AI tool, and what tier the destination is classified as.
06
File and image inspection
Extraction and classification of content within uploaded files and images where the organisation’s plan includes file and image inspection.
07
Output classification
Inspection of what the AI model produces, not just what was sent to it. Detects sensitive data in responses, regurgitated internal content, and prompt-injection effects.
08
Policy resolution
All classification results are packaged into an action envelope and resolved against the organisation’s policy rules. The most-restrictive-wins rule applies.
Commercial deployment tiers
From small business browser governance to sovereign high-assurance environments, select the deployment tier suited to your organisation's privacy exposure.
Trace Standard
A$499 /month
Ideal for small to mid-sized teams needing rapid visibility. Includes the Browser Extension enforcement layer, deterministic redaction, and basic evidence logs.
View Standard InclusionsRecommended for Regulated Sectors
Trace Professional
A$1,199 /month
Full 7-layer enforcement coverage, Endpoint Agent, Network Gateway, API Interceptor, Forensic Workspace, and bidirectional SIEM integration.
View Professional InclusionsTrace Sovereign
Custom /annual
Per-tenant dedicated infrastructure, Customer-Managed Keys (CMK), high-assurance WORM retention, ICAP proxy integration, and sovereign Australian operations.
Contact Enterprise SalesLooking for educational framework breakdowns? Explore our Whitepapers & Framework Guides in the Resources Hub →
Frequently Asked Questions
How does APEXLyn Trace prevent Privacy Act violations with generative AI?
Trace intercepts AI interactions at the browser, endpoint, network, or API layer before prompts are transmitted to external models. The 8-stage pipeline detects Australian Tax File Numbers (TFN), Medicare details, health records, and client personal info, enforcing automated redaction or block actions.
Where is customer evidence stored and processed?
All APEXLyn Trace evidence is cryptographically stored in AWS Sydney (ap-southeast-2) utilizing tamper-proof WORM storage. Each tenant has isolated database encryption, and records are immutable for audit and regulatory inquiry.
Does APEXLyn Trace issue compliance certificates?
No. As stated in our published Disclaimer, APEXLyn provides objective, cryptographic evidence infrastructure. We do not certify organisations or issue compliance certificates; our platform generates verifiable records that your auditors, board, or legal counsel inspect.
Can Trace integrate with our existing CrowdStrike, Microsoft Defender, or Sentinel stack?
Yes. Trace acts as the specialised AI governance layer that existing SIEM, XDR, and EDR tools lack. Trace streams high-severity AI findings directly to your SIEM/XDR and can accept risk-score synchronisation where supported.
Make AI Governance Evidence-Backed Today
Equip your organisation with defensible, tamper-proof proof of AI compliance across all 7 enforcement layers.