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 3 APIs on the APIs.io network: Output API, Prompt API, and System API. Tagged areas include AI, ML, Security, LLM, and Guardrails.
Protect AI’s developer surface includes authentication, documentation, engineering blog, and 8 more developer resources.
Kin Score
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 1
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
LLM Guard API
OPEN COLLECTIONPricing Plans 1
Published pricing tiers and plan structures.
Rate Limits 1
Documented rate limits and quota policies.
Protectai Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals for API financial operations.
Protectai Finops
FINOPSSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
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