# MokN

**Canonical:** https://apis.io/providers/mokn/  
**Website:** https://mokn.io  
**APIs profiled:** 0

MokN is a cybersecurity company that helps organizations detect external threats before attackers can weaponize them. Founded by SOC practitioners after a major cyber crisis, MokN builds the detection layer around two products: Baits, defensive deception pages that lure attackers into revealing stolen credentials and validate compromise in real time, and Lantern, an external attack surface management tool that maps and remediates perimeter exposures. The platform reports processing over one billion login attempts and protecting hundreds of thousands of users across organizations. MokN publishes no public API, SDK, or developer documentation as of this pass; this profile captures the company's public web presence and domain-security posture.

## Kin Score — 8.1 / 100 (minimal)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 8.1).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 4.8 |
| Commercial Clarity | 10.5 |
| Access Clarity | 10.5 |

## Agent readiness — 0.0 (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 | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

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

## Security (1)

- **Mokn Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC

## Tags

Company, Enterprise, Cybersecurity, Threat Detection, Deception Technology, Attack Surface Management, Credential Security

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