# Aeon AI Risk Management

**Canonical:** https://apis.io/providers/airiskmanagement-ca/  
**Website:** https://airiskmanagement.ca/  
**APIs profiled:** 0

Aeon AI Risk Management provides AI consulting, private AI deployment, and cybersecurity services. They help organizations implement AI workflows, set up private AI environments, strengthen cybersecurity, and establish practical AI governance. Their offerings include AI implementation, private AI setup, AI governance, security assessments, and research, targeting enterprises seeking controlled, secure AI solutions.

## Kin Score — 6.3 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0. Trend: flat (-2.9 from 9.2).

| Facet | Score |
|---|---|
| Discoverability | 48.3 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 1.2 |
| Access Clarity | 10.5 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 9.1 (matched via fallback).

## Agent readiness — 3.5 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## MCP servers (1)

- **Aeon AI Risk Management MCP Server** — Remote MCP server at ailist.airiskmanagement.ca.

## Security (1)

- **Airiskmanagement Ca Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Artificial Intelligence, Consulting, Cybersecurity, Private AI, Risk Management

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/airiskmanagement-ca/). Scores are computed from the provider's own public artifacts under a published rubric.