Regulatory Alignment

Compliance

Master Brain is designed to satisfy the obligations AI governance frameworks impose on organisations that use AI in their operations. This page shows how the architecture maps to five frameworks.

Framework Alignment
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NIST AI Risk Management Framework
Four functions: Govern, Map, Measure, Manage
FunctionWhat It RequiresHow Master Brain Satisfies It
Govern
Define accountability, roles and decision rights for AI systems
Governance Council model with defined roles (Brain Owner, Technical Custodian, Domain Owner). Decision rights documented in policy library. All approval decisions logged with the deciding party recorded.
Map
Identify and categorise AI risks in context
Capability intake assessment rates every skill for risk before it enters the pipeline. Risk ratings (Low, Medium, High, Critical) determine the approval path. Intake records are retained as evidence.
Measure
Evaluate AI system behaviour against defined criteria
8-point security scan on every skill. Sandbox sign-off with defined acceptance criteria. Tamper-evident hash on each approved skill. Monthly brain audit for staleness and coverage. Structured audit log per session.
Manage
Respond to identified risks and treat residual risk
Human checkpoints at every gate for treatment decisions. Content expiry monitor raises review tasks before content goes stale. Knowledge gap register tracks unresolved gaps. High and Critical skills require two Council members to approve.
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ISO 42001: Artificial Intelligence Management System
International standard for AI management systems, published 2023
Requirement AreaWhat It RequiresHow Master Brain Satisfies It
Policy
Documented AI policy with objectives and leadership commitment
Policy library template covers acceptable use, data classification, skill ingestion, access control and audit. Policy ownership is defined in the Governance Council Charter.
Lifecycle Controls
Controls throughout the AI system lifecycle from design to decommission
Full skill development lifecycle: intake, specification, quarantine, review, sandbox, approval, distribution, expiry. Each stage has defined controls, roles and documented outputs.
Risk Treatment
Risk-based approach to AI capability deployment
Risk-rated review on every skill. High and Critical ratings require two-member Council approval. Critical skills stop at intake if the risk cannot be mitigated. Risk rating is recorded in the Skills Register and retained.
Monitoring
Ongoing monitoring of AI system performance and impact
Structured audit log captures every session. Content expiry monitor flags stale knowledge. Monthly brain audit reports coverage, staleness and skill count. Knowledge gap register tracks unresolved information needs.
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ISO 27001: Information Security Management
Access control, audit logging and asset management requirements
Control AreaWhat It RequiresHow Master Brain Satisfies It
Access Control
Need-to-know access enforced at the system level
Two-axis model: content tier filters what the retrieval layer returns; platform role controls infrastructure access. Pre-filter applied before semantic search. Default deny: unresolvable tier results in access-denied.
Audit Logging
Structured logs of access events, changes and significant actions
Session-level audit log records identity, timestamp, action, documents touched and their tier, and outcome. Access-denied events, restricted document accesses and closed-world unknowns are flagged as significant events.
Asset Management
Inventory and classification of information assets
Skills Register maintains a complete inventory of all approved skills. Every knowledge file carries a classification label and tier tag in its frontmatter. Content expiry tracking maintains the currency of the asset inventory.
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Australian Privacy Act 1988
Including the Australian Privacy Principles (APPs)
ObligationWhat It RequiresHow Master Brain Satisfies It
Data Classification
Personal information handled according to its sensitivity
Five-tier classification model. Sensitive content tagged at Tier 1 or 2 and restricted to those tiers in retrieval. Restricted classification label marks content that carries additional handling obligations.
Access Limitation
Personal information accessed only by those with a legitimate need
Tier-filtered retrieval enforced at the pre-filter stage, before semantic search runs. Restricted content never enters an uncleared candidate set. Default deny applies when tier cannot be resolved.
Accountability
Documented evidence of privacy-compliant handling
Structured audit log records identity, timestamp, document touched, tier and classification of document, and outcome per query. Log is retained in the audit store and available for regulatory reporting.
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First Nations Information Governance (FAIRA, Queensland)
Cultural safety and sovereignty obligations for information systems
ObligationWhat It RequiresHow Master Brain Satisfies It
Cultural Safety
Restricted cultural material handled with appropriate controls and sovereignty
The Tier 1 classification level and the restricted label can accommodate culturally sensitive material. Tier 1 content is accessible only to the brain owner, providing strong sovereignty controls at the system level.
Governance
Defined decision rights and accountability for sensitive information
The Governance Council model and policy library can be adapted to include community-specific governance obligations. Policy templates include placeholders for sector-specific compliance requirements.
Audit Trail
Documented record of who accessed what and when
Structured audit trail supports regulatory reporting requirements. Access events for Tier 1 content are captured with identity, timestamp and document path, providing an evidential record.
⚠️ This page describes alignment at an architectural level and is intended for information purposes only. It is not legal advice. Organisations should assess their specific compliance obligations with appropriate legal and regulatory counsel before relying on any alignment assessment.

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