# BlueTalon Data Systems

**Canonical:** https://apis.io/providers/bluetalon-data-systems/  
**APIs profiled:** 0

BlueTalon Data Systems was a data-centric security company that built dynamic, policy-based access control, data masking, filtering, and auditing for enterprise data platforms such as Hadoop, relational databases, and big-data stores. It let organizations enforce fine-grained authorization and privacy controls at the point of data access. Founded around 2013 and headquartered in Redwood City, California, BlueTalon was acquired by Microsoft in July 2019, after which its team and technology were absorbed into Microsoft's data-governance and security efforts (Azure). BlueTalon no longer operates as an independent company; the bluetalon.com domain is parked on Azure DNS with no active web, developer, or API surface, so this network profile carries identity only and has no live artifacts to enrich.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.0).

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

## 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).

## Tags

Company, Data Security, Access Control, Data Governance, Data Masking, Authorization, Big Data, Acquired

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