Protect AI website screenshot

Protect AI

Protect AI is an AI/ML security platform (now part of Palo Alto Networks) whose products secure the AI lifecycle from model selection to runtime. Its developer surface centers on LLM Guard, an open-source Python toolkit of prompt and output scanners that ships a self-hostable REST API for real-time input/output sanitization. Commercial products - Guardian (model scanning), Recon (LLM red-teaming), and Layer (runtime protection) - are delivered through a portal under sales-led terms.

Protect AI publishes 6 API contracts indexed on the APIs.io network, including Output API, Prompt API, System API, and 3 more. Tagged areas include Artificial Intelligence, Machine Learning, Security, LLM, and Guardrails.

The Protect AI catalog on APIs.io includes 1 Spectral governance ruleset.

Protect AI’s developer surface includes authentication, documentation, engineering blog, and 9 more developer resources.

23.4/100 emerging ▬ flat Agent 20/100 agent aware Front door AI 6/6 dominant Heartbeat 35/100 slowing saas Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →
AccessFreemiumSelf serve⚡ Free to try
1 published contract
Artificial IntelligenceMachine LearningSecurityLLMGuardrails

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0
Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.
Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.
The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.
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Agent readiness — checks not met, largest first (exact, from this profile):
9 more unmet checks in the Agent Readiness table above.
Kin Score — facets with the most composite points still available (weight × headroom):
Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.
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Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/protectai/apis.yml: open an issue on github.com/api-evangelist/protectai to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

MarketPositionDepthRegistered MCP serverDeclares compatibility
Cloud Security Attestation and Secure-by-Design standard 44.1 - -
Hugging Face Hub Organisations standard 44.1 - -

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

measured — observed by APIs.io (published)

APIs 6

Individual APIs this provider publishes, each with its own machine-readable definition.

Guardian (Model Scanning)

Commercial AI model security product that scans first- and third-party models for serialization attacks, malicious code, and supply-chain threats before they reach production. T...

Recon (Red-Teaming)

Commercial automated red-teaming product that rigorously tests LLM and GenAI applications for vulnerabilities, jailbreaks, and policy violations. Delivered as a sales-led platfo...

Layer (Runtime)

Commercial runtime security product that monitors and controls AI applications in production with deep visibility and inline threat prevention. Delivered as a sales-led platform...

Protect AI Output API

The Output API from Protect AI — 2 operation(s) for output.

Protect AI Prompt API

The Prompt API from Protect AI — 2 operation(s) for prompt.

Protect AI System API

The System API from Protect AI — 4 operation(s) for system.

Open Collections 4

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

LLM Guard Output API

OPEN COLLECTION

LLM Guard API

OPEN COLLECTION

Protect AI API pricing

Not yet checked against Protect AI's own pricing page. Compiled by API Evangelist on 2026-06-20 from github.com/protectai/llm-guard; confirm before you rely on a figure. A free plan or tier is listed.

PlanPrice
LLM Guard (Open Source) free —
ModelScan (Open Source) free —
Commercial Platform (Guardian / Recon / Layer) enterprise —

Plan details, limits and sources →

Rate limits

Compiled by API Evangelist, not yet checked against Protect AI's documentation. Rate-limit details →

Pricing Plans 1

Published pricing tiers and plan structures.

Rate Limits 1

Documented rate limits and quota policies.

Protect AI Rate Limits

2 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs. Counts are the severity each rule declares, not results of running them.

Protect AI API Rules

53 rules · 51 error-severity 1 warn-severity 1 info-severity

SPECTRAL

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Protect AI Authentication

http · 1 scheme

SECURITY

Protect AI Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Agentic Access (API Evangelist recommendations) 1

Recommended x-agentic-access execution contracts for AI agents.

Protect AI Agentic Access

8 operations · 4 acting

8 operations · 4 acting

AGENTIC

Resources

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Commercial 2

Pricing, plans, and the legal terms of use

Company 3

The organization behind the API

Other 1

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: protectai
url: https://raw.githubusercontent.com/api-evangelist/protectai/refs/heads/main/apis.yml
name: Protect AI
kind: company
description: Protect AI is an AI/ML security platform (now part of Palo Alto Networks) whose products secure the AI lifecycle
  from model selection to runtime. Its developer surface centers on LLM Guard, an open-source Python toolkit of prompt and
  output scanners that ships a self-hostable REST API for real-time input/output sanitization. Commercial products - Guardian
  (model scanning), Recon (LLM red-teaming), and Layer (runtime protection) - are delivered through a portal under sales-led
  terms.
deliveryModel:
  model: saas
  license_evidence:
    not_product:
    - protectai/llm-guard
    - protectai/modelscan
  open_source: unknown
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: low
  source:
  - openapi
  - pricing
  - repository-not-product
  generated: '2026-09-25'
  method: derived
accessModel:
  pricing: freemium
  onboarding: self-serve
  trial: false
  try_now: true
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Freemium · Self-serve signup
  confidence: medium
  source:
  - plans
  - authentication
  - security
  - url: https://protectai.com/
    status: 301
    note: declared website redirects to https://www.paloaltonetworks.com/ai-security/prisma-airs — a different registrable
      domain (protectai.com -> paloaltonetworks.com), possible rename or acquisition (probed 2026-09-03, roadmap#169)
  generated: '2026-11-13'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/protectai.png
tags:
- Artificial Intelligence
- Machine Learning
- Security
- LLM
- Guardrails
tags_raw:
- AI
- ML
- Security
- LLM
- Guardrails
- Machine-Learning
created: '2026-06-20'
modified: '2026-06-20'
specificationVersion: '0.23'
apis:
- aid: protectai:guardian-model-scanning
  name: Guardian (Model Scanning)
  tags:
  - Model Scanning
  - Supply Chain
  - MLSecOps
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://protectai.com/guardian
  baseURL: https://protectai.com/guardian
  properties:
  - url: https://protectai.com/guardian
    type: Documentation
  - url: https://github.com/protectai/modelscan
    type: GitHub
  description: Commercial AI model security product that scans first- and third-party models for serialization attacks, malicious
    code, and supply-chain threats before they reach production. The open-source ModelScan project (Apache 2.0) provides the
    underlying model-scanning engine; Guardian itself is a sales-led platform without a documented public REST API.
- aid: protectai:recon-red-teaming
  name: Recon (Red-Teaming)
  tags:
  - Red Teaming
  - Adversarial Testing
  - LLM
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://protectai.com/recon
  baseURL: https://protectai.com/recon
  properties:
  - url: https://protectai.com/recon
    type: Documentation
  description: Commercial automated red-teaming product that rigorously tests LLM and GenAI applications for vulnerabilities,
    jailbreaks, and policy violations. Delivered as a sales-led platform; no public REST API surface is documented.
- aid: protectai:layer-runtime
  name: Layer (Runtime)
  tags:
  - Runtime Security
  - Observability
  - Threat Detection
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://protectai.com/layer
  baseURL: https://protectai.com/layer
  properties:
  - url: https://protectai.com/layer
    type: Documentation
  description: Commercial runtime security product that monitors and controls AI applications in production with deep visibility
    and inline threat prevention. Delivered as a sales-led platform; no public REST API surface is documented.
- aid: protectai:protectai-output-api
  name: Protect AI Output API
  description: The Output API from Protect AI — 2 operation(s) for output.
  humanURL: https://llm-guard.com/api/overview/
  baseURL: http://localhost:8000
  tags:
  - Output
  properties:
  - type: OpenAPI
    url: openapi/protectai-output-api-openapi.yml
  - type: Documentation
    url: https://llm-guard.com/
  - type: APIReference
    url: https://llm-guard.com/api/overview/
  - type: GitHub
    url: https://github.com/protectai/llm-guard
- aid: protectai:protectai-prompt-api
  name: Protect AI Prompt API
  description: The Prompt API from Protect AI — 2 operation(s) for prompt.
  humanURL: https://llm-guard.com/api/overview/
  baseURL: http://localhost:8000
  tags:
  - Prompt
  properties:
  - type: OpenAPI
    url: openapi/protectai-prompt-api-openapi.yml
  - type: Documentation
    url: https://llm-guard.com/
  - type: APIReference
    url: https://llm-guard.com/api/overview/
  - type: GitHub
    url: https://github.com/protectai/llm-guard
- aid: protectai:protectai-system-api
  name: Protect AI System API
  description: The System API from Protect AI — 4 operation(s) for system.
  humanURL: https://llm-guard.com/api/overview/
  baseURL: http://localhost:8000
  tags:
  - System
  properties:
  - type: OpenAPI
    url: openapi/protectai-system-api-openapi.yml
  - type: Documentation
    url: https://llm-guard.com/
  - type: APIReference
    url: https://llm-guard.com/api/overview/
  - type: GitHub
    url: https://github.com/protectai/llm-guard
common:
- type: ParentCompany
  url: https://apis.io/providers/palo-alto-networks/
  name: Palo Alto Networks
  x-relationship: acquired
  x-evidence: description names Palo Alto Networks and https://protectai.com/ now redirects to paloaltonetworks.com (roadmap#390,
    corroborate-dead.py)
- type: AgenticAccess
  url: agentic-access/protectai-agentic-access.yml
- type: DomainSecurity
  url: security/protectai-domain-security.yml
- type: Authentication
  url: authentication/protectai-authentication.yml
- type: GitHubOrganization
  url: https://github.com/protectai
- type: LinkedIn
  url: https://www.linkedin.com/company/protect-ai
- type: Website
  url: https://protectai.com/
- type: Documentation
  url: https://llm-guard.com/
- type: Plans
  url: plans/protectai-plans-pricing.yml
- type: RateLimits
  url: rate-limits/protectai-rate-limits.yml
- type: FinOps
  url: finops/protectai-finops.yml
- url: https://protectai.com/blog/rss.xml
  type: Blog
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

Protect AI API — frequently asked questions

Does Protect AI have an API?

Yes. APIs.io lists 6 APIs from Protect AI, including Guardian (Model Scanning), Recon (Red-Teaming) and Layer (Runtime), and 3 more.

Is there an OpenAPI specification for the Protect AI API?

Yes. APIs.io indexes 3 OpenAPI specifications for Protect AI, each linked for download from this page.

How do I authenticate with the Protect AI API?

Protect AI uses bearer-token authentication (http · 1 scheme). The details are profiled on APIs.io as Protect AI Authentication.

How much does the Protect AI API cost?

APIs.io lists 3 pricing plans for Protect AI, with each plan's price, limits and inclusions under Pricing on this page.

Is the Protect AI API ready for AI agents?

Protect AI has a Kin Score of 23.4 out of 100 (emerging) and an Agent Readiness score of 19.6 (agent-aware), scored by API Evangelist on 2026-11-13.

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