# HiddenLayer

**Canonical:** https://apis.io/providers/hidden-layer/  
**Website:** https://hiddenlayer.com  
**APIs profiled:** 0

HiddenLayer is an Austin, Texas-based AI security company founded in March 2022 by Chris Sestito (CEO), Tanner Burns (Chief Scientist), and Jim Ballard (CIO) — former Cylance researchers who encountered a real-world attack on production ML models. HiddenLayer builds an AI Security Platform that protects machine learning and generative AI systems across their entire lifecycle, comprising four integrated modules: AI Discovery (catalogs AI assets and eliminates shadow AI), AI Supply Chain Security (Model Scanner inspects models, weights, and pickle/RDS files for malicious payloads and backdoors), AI Attack Simulation (continuous adversarial red-teaming for agentic and generative systems), and AI Runtime Security / AIDR (a real-time detection-and-response firewall using deterministic classifiers that sit outside the model inference path to detect prompt injection, jailbreaks, indirect attacks, data leakage, and malicious tool calls in agentic and MCP systems). The platform exposes native connectors for CI/CD, MLOps, SIEM/SOAR, API gateways, and major data and cloud platforms, plus guardrail integrations for OpenAI Agents, LangChain, AWS Strands, Microsoft Agent Framework, Azure APIM, and a GitHub Action for Model Scanner. HiddenLayer publishes Python, TypeScript, and Java/Kotlin SDKs and research-grade tooling such as HiddenPickle (Python pickle disassembler/patcher) and HiddenPromise (R .rdx/.rdb/.rds disassembler). The company has raised $56M total ($50M Series A in September 2023 led by M12 / Microsoft's Venture Fund and Moore Strategic Ventures, with Booz Allen Ventures, IBM Ventures, Capital One Ventures, and Ten Eleven Ventures participating) and serves Fortune 500 enterprises, financial services, and US Federal agencies. The HiddenLayer SaaS console and REST API are gated behind enterprise sales and not publicly self-serve, placing this profile in Tier-3 (enterprise-gated) coverage.

## Kin Score — 6.2 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 6.2).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 5.3 |
| Developer Ergonomics | 2.4 |
| 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).

## Security (1)

- **Hidden Layer Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

AI Security, ML Security, AISec, AIDR, AI Detection & Response, AI Runtime Security, Model Scanning, AI Supply Chain, AI Red Teaming, Prompt Injection, Jailbreak Detection, AI Guardrails, Agentic AI Security, MCP Security, Adversarial Machine Learning, Generative AI Security, Shadow AI, AI Bill Of Materials, Security, Enterprise

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