# viridis-security-com

**Canonical:** https://apis.io/providers/viridis-security-com/  
**Website:** https://viridis-security.com/  
**APIs profiled:** 0

Viridis Security provides security assessments for AI agents and MCP (Machine Control Protocol) systems. Their services include agent resilience assessments, authority and architecture reviews, AI control‑boundary reviews, and vulnerability evidence reviews. They offer a proof‑of‑work middleware product called Maxwell’s Defense and publish research on AI agent security. The company helps customers understand risks, choose controls, and obtain inspectable evidence with clear limits.

## Kin Score — 18.2 / 100 (emerging)

Scored 2026-10-31 under rubric 0.25.0.

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 10.5 |
| Developer Ergonomics | 32.6 |
| Access Clarity | 21.1 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 23.5 (matched via fallback).

## Agent readiness — 3.2 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | unknown |
| 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 |

## Security (2)

- **Viridis Security Com Authentication** — 0 schemes
- **Viridis Security Com Domain Security** — TLSv1.3

## Tags

Company, AI Security, Assessment, Cybersecurity, MCP

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