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AleutianEnterprise: An Identity & Provenance Plane for AI Governance

Enterprise AI adoption is often hindered by governance gaps. Engineering teams develop "Shadow AI" applications, which compliance and security leaders may block due to risks associated with unauditable, non-compliant systems.

AleutianEnterprise is a K8s-native Control Plane designed to address this by routing AI traffic through a central, auditable gateway.

Core Capabilities of the Control Plane

  • Verifiable Identity
    The system is designed to stamp all AI traffic—from internal apps and third-party tools—with a verifiable SSO identity.
  • Centralized Cost Tracking
    It centralizes all AI requests to enable unified cost-tracking and per-team chargeback reporting.
  • Full Data Provenance
    It creates an immutable, auditable log for all data inputs and model outputs across the entire AI footprint.
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The "Shadow AI" Dilemma: A Two-Front Failure of Architecture and Compliance.

The current state of enterprise AI is often a landscape of siloed, high-risk prototypes. This results in two distinct and expensive problems for the organization.

The Engineering Problem: Duplicated Effort & Wasted Capital

Without a central, sanctioned platform, engineering teams are forced to duplicate effort. They build redundant, fragile stacks of scripts and containers to solve basic MLOps plumbing (observability, data pipelines, security). This results in significant wasted salary, a lack of standardization, and a portfolio of un-supportable, siloed applications.

The Compliance Problem: The "Unauditable Black Box"

These "black box" prototypes fail fundamental security and compliance reviews. They lack verifiable identity, rendering any audit trail legally useless. They provide no mechanism to prove data provenance (what data was used for an answer) or to service critical GDPR/CCPA "Right to be Forgotten" requests. This makes them un-deployable in any regulated environment.

The Gateway Approach: Integrating Existing Systems

Re-architecting existing "Shadow AI" applications is not required. The AleutianEnterprise platform is designed as a K8s-native gateway, deployed in-line between existing applications and the AI models they consume.

This integration model requires development teams to change a single line of code in their existing applications: the API base URL. 

-  OLD: OPENAI_BASE_URL="https://api.openai.com"
+  NEW: OPENAI_BASE_URL="http://aleutian.internal.mycompany.com"

Upon implementation, AI traffic from these applications is routed through the central gateway, making it centralized and governable.

The Core Architecture of the "Identity & Provenance Plane"

A Review of the 3 Core Governance Pillars

Pillar 1: Platform Integration & Scalability

What it solves: Ensures the platform integrates into your existing infrastructure and scales to meet production demands.

Key Capabilities:

  • Standardized Deployment: A hardened Helm chart that integrates with existing GitOps and Terraform workflows, avoiding a complex, bespoke installation.
  • Data Sovereignty Controls: Enables data to be pinned to specific geographic regions (e.g., EU-only nodes) to satisfy data residency and compliance requirements.
  • Production-Ready Scaling: Designed for high-availability (HA) and horizontal scaling to support enterprise-wide traffic loads, not just a single application.

Pillar 2: Centralized Identity & Access

What it solves: The "unauditable black box" problem by connecting all AI activity to a verifiable user identity.

Key Capabilities:

  • SSO/IAM Integration: Native connectors for Okta, Microsoft Entra ID, and SAML 2.0. This turns anonymized logs (user: "app_server") into auditable logs (user: "bob.smith@company.com").
  • Attribute-Based Access Control (ABAC): Enforces fine-grained access policies using attributes like a user's group or clearance level, controlling which data can be accessed.
  • Secure Data Tenancy: Provides a data model to prevent data cross-contamination between different departments (e.g., Legal vs. Marketing) in the optional RAG service.

Pillar 3: Automated Compliance & Auditing

What it solves: The challenge of manual audit evidence collection and the inability to enforce legal policies in real-time.

Key Capabilities:

  • Defensible "Right to be Forgotten": A user-centric API that purges specified data and generates an immutable "Certificate of Deletion" log for auditors.
  • Automated Data Retention: An automated service that enforces corporate data retention policies (e.g., purging data after 90 days), reducing organizational data liability.
  • SIEM/GRC Connectors: Pre-built connectors for Splunk, Datadog, and ServiceNow to stream audit logs and automate evidence collection for compliance.
  • "Policy Co-pilot": A GRC-facing interface to help translate written legal policies into enforceable, auditable technical rules for the gateway.

From "Black Box" Chaos to "Glass Box" Control

AleutianEnterprise provides a centralized reporting interface, termed the "C-Suite Glass Box," to surface data for different organizational stakeholders.

Financial & Engineering Oversight

  • Cost-per-Team Chargeback Report: Provides dashboards that attribute AI spending to specific departments and models for cost analysis.
  • Economical Pre-Filter Capability: The platform includes an auditable RAG function intended to reduce costs by narrowing large-context queries (e.g., 1M tokens) into smaller, more relevant ones (e.g., 10k tokens) before API calls.

Compliance & Legal Oversight

  • IP Leakage & PII Ticker: A real-time dashboard that logs prompts blocked or redacted by the platform's integrated PII scanning policies.
  • Defensible Deletion Dashboard: A verifiable, centralized log of all "Right to be Forgotten" actions, designed to provide a provable audit trail for GDPR and CCPA compliance.

Beyond Integration: Native Application Development

While the gateway provides the initial governance layer for existing systems, the platform also includes services for new, native development.

An optional Auditable RAG Service is available for building new applications. This service is designed to automatically inherit all the identity, auditing, and compliance controls configured in the central gateway.

Secure Multi-Tenant Data Store

The RAG service utilizes Session-Scoped and Group-Scoped data logic to support the development of secure, sandboxed applications for different teams.

MLOps Evaluation Suite

Includes a RAGAs-based evaluation framework intended for testing, benchmarking, and validating the accuracy and compliance outputs of RAG applications.

From FOSS Engine to Enterprise Factory

We are an Open Core company. We build trust by giving away our core engine for free, and we build our business by selling the connectors and controls that enterprises need.

AleutianLocal (FOSS)

License: AGPLv3 (with a CLA)

What it is: The *Engine*. A powerful, API-driven platform for an individual developer, built on `podman-compose`. It's our "proof of architecture" and the filter that makes commercial users call us.

View FOSS Core

AleutianEnterprise (Commercial)

License: Private Commercial EULA

What it is: The *Factory*. You're not paying for the engine; you're paying to *safely connect it* to your corporate infrastructure.

What You Buy:

  • The Commercial License (Removes AGPL)
  • The K8s Helm Chart & Deployment Support
  • The SSO/IAM Connectors
  • The SIEM/GRC Streamers
  • The "C-Suite Glass Box" UI
  • The 24/7 Enterprise Support (SLA)
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Design Partner Program

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We are currently seeking a limited number of design partners to validate our enterprise connectors. We invite you to a 15-minute technical briefing with our founder to discuss your current AI governance architecture and challenges.

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