A detailed technical description of the Arctyx AI Governance and Remediation Platform for engineering, security, and architecture teams.


1. Platform Architecture

Arctyx is built as a modular governance engine composed of five core subsystems:


1.1 Rulepack Engine

A deterministic evaluation engine that processes structured rulepacks written in ARL (Arctyx Rule Language).

Key characteristics:

  • JSON and YAML rulepack formats
  • Versioned rulepacks with full audit history
  • Deterministic evaluation model
  • Support for security, architecture, data governance, AI governance, ML risk, and compliance frameworks
  • Extensible operator library
  • Pluggable remediation actions


1.2 Workflow Engine

A multi step approval engine used to enforce governance workflows.

Capabilities:

  • Configurable workflow definitions
  • Multi stage approvals
  • Role based approver assignment
  • Timestamped decision logs
  • Integration with SSO identity
  • Prevention of self approval
  • Full audit trail


1.3 Dependency Graph Engine

A structural analysis subsystem that builds a live dependency graph of:

  • Python modules
  • AI model endpoints
  • Data pipelines
  • Infrastructure components
  • External services

Graph features:

  • Fan in and fan out analysis
  • Circular dependency detection
  • Architecture drift detection
  • Impact analysis for changes


1.4 Telemetry and Audit Subsystem

A continuous event capture system that records:

  • Rule evaluations
  • Workflow decisions
  • Remediation actions
  • Sync operations
  • User actions (RBAC controlled)

Telemetry is stored in a structured, append only format suitable for audit and compliance reviews.


1.5 Sync Pipeline

A controlled mechanism for synchronising governance state across environments:

  • Development
  • Staging
  • Production
  • Air gapped networks
  • Regulated cloud regions

Supports:

  • Rulepack sync
  • Workflow sync
  • Telemetry sync
  • Environment drift detection


2. Security Architecture

Arctyx is designed for enterprise security requirements.


2.1 Identity and Authentication

Arctyx integrates with enterprise identity providers through:

  • OpenID Connect
  • OAuth2
  • SSO login flows

Identity tokens are validated on every request.

No unauthenticated access is permitted when SSO is enabled.


2.2 Role Based Access Control (RBAC)

Arctyx enforces RBAC across all operations:

  • Viewer
  • Developer
  • Architect
  • Admin

RBAC controls access to:

  • Rulepack creation
  • Workflow approvals
  • Remediation actions
  • Telemetry access
  • Sync operations
  • Environment configuration


2.3 Data Protection

Arctyx supports:

  • TLS termination at the reverse proxy
  • Secure session handling
  • Strict request size limits
  • Rate limiting
  • CSRF protection
  • Input validation for all API endpoints


2.4 Audit and Compliance

All governance events are:

  • Timestamped
  • Immutable
  • Traceable
  • Exportable

Arctyx supports audit requirements for:

  • ISO 27001
  • SOC2
  • GDPR
  • PCI DSS
  • NIST 800 53
  • Industry specific frameworks


3. Integration Architecture

Arctyx integrates with enterprise systems through multiple interfaces.


3.1 API Integration

A FastAPI service provides:

  • Rulepack evaluation endpoints
  • Workflow management endpoints
  • Telemetry retrieval
  • Sync operations
  • Environment configuration

All endpoints are authenticated and RBAC controlled.


3.2 CLI Integration

Arctyx includes a CLI for:

  • Rulepack management
  • Workflow approvals
  • Telemetry inspection
  • Sync operations
  • Profile management

Suitable for CI/CD pipelines and automation.


3.3 SDKs

Arctyx provides:

  • Python SDK (sync and async)
  • TypeScript SDK (compiled JS output included)

SDK features:

  • Automatic retry
  • Exponential backoff
  • SSO token handling
  • RBAC aware operations


3.4 Dashboard Integration

A React dashboard provides:

  • Rulepack browsing
  • Workflow approvals
  • Dependency graph visualisation
  • Telemetry inspection
  • Environment comparison


4. Deployment Architecture

Arctyx supports multiple deployment models.


4.1 On Premises

Suitable for regulated industries requiring:

  • Data residency
  • Air gapped operation
  • Internal identity providers
  • Internal audit systems


4.2 Cloud Deployment

Supports:

  • AWS
  • Azure
  • GCP
  • Hybrid cloud
  • Multi region governance


4.3 Docker and Containerised Deployment

Includes:

  • Hardened Dockerfile
  • Updated Docker Compose configuration
  • Health checks
  • Configurable worker count


4.4 Reverse Proxy and TLS

Arctyx provides example configurations for:

  • Nginx
  • Apache
  • Cloud load balancers

Including:

  • TLS termination
  • HSTS
  • CSP headers
  • Secure proxying


4.5 Systemd Integration

Arctyx includes a systemd unit file for:

  • Automatic startup
  • Automatic restart
  • Log management


5. Data Handling and Storage

Arctyx stores:

  • Rulepacks
  • Workflow definitions
  • Telemetry
  • Sync metadata
  • Environment profiles

Storage options:

  • Local filesystem
  • SQLite
  • Postgres
  • Cloud storage (optional)

All data is:

  • Structured
  • Versioned
  • Auditable

No customer data is used for training or external processing.


6. Extensibility

Arctyx is designed to be extended.


6.1 Custom Rulepacks

Organisations can author rulepacks for:

  • Internal architecture standards
  • Security baselines
  • Data governance policies
  • AI model governance
  • Industry specific controls


6.2 Custom Remediation Actions

Arctyx supports:

  • Automated remediation
  • Manual remediation workflows
  • External system triggers


6.3 Plugin Architecture

Arctyx supports:

  • Custom operators
  • Custom rulepack loaders
  • Custom workflow steps
  • Custom telemetry exporters


7. Supported Environments

Arctyx supports:

  • Python 3.10 to 3.14
  • Linux servers
  • Windows development environments
  • Containerised deployments
  • Air gapped networks
  • Regulated cloud regions


8. Technical Benefits

  • Deterministic governance
  • Full auditability
  • Multi environment consistency
  • Architecture awareness
  • AI specific governance controls
  • Compliance alignment
  • Enterprise identity integration
  • Extensible rulepack model
  • Lightweight deployment footprint


Summary

Arctyx provides a complete technical foundation for AI governance, architecture oversight, compliance enforcement, and multi environment consistency. It is built for organisations that require secure, auditable, and deterministic governance of AI systems and digital architectures.

This page gives technical evaluators the information they need to assess Arctyx for integration, security review, and enterprise deployment.