# Acalvio

**Canonical:** https://apis.io/providers/acalvio/  
**Website:** https://www.acalvio.com  
**APIs profiled:** 0

Acalvio Technologies is a cybersecurity company specializing in cyber deception technology for preemptive defense. Its platform detects, disrupts, and defeats advanced threats, ransomware, and identity-based attacks by deploying autonomous, AI-driven deception across enterprise, cloud, and government environments. Acalvio integrates with existing security infrastructure such as CrowdStrike Falcon Identity Protection, Splunk, Microsoft Sentinel, and other SIEM/SOAR solutions, and partners with AWS, Microsoft, and Google Cloud. Acalvio does not currently publish a public developer API, developer portal, or SDK; this profile captures its public web and security posture.

## Kin Score — 7.6 / 100 (minimal)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 7.6).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 2.4 |
| 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)

- **Acalvio Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Artificial Intelligence, Cybersecurity, Deception Technology, Threat Detection, Identity Protection, Cloud Security, Ransomware

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