ModelOp vs Protect AI

Side-by-side comparison of framework coverage, pricing, capabilities, and target customers. Last verified April 2026.

Canonical URL: https://aicompliancevendors.com/compare/modelop-vs-protect-ai

ModelOp

Enterprise AI lifecycle management and governance platform

ModelOp provides a centralized platform for managing the full AI lifecycle, from intake to retirement, for ML, GenAI, Agentic AI, and vendor models. It offers a single system of record for AI inventory, automates policy enforcement and workflows, enables continuous monitoring for risks like bias and drift, and generates audit-ready reports. Targeted at complex regulated enterprises, it integrates with existing systems to accelerate AI deployment while ensuring compliance and control across teams. Distinct from MLOps tools or GRC systems, ModelOp orchestrates governance end-to-end, supporting internal and third-party AI at scale.

Last verified April 23, 2026Chicago, United States

Protect AI

The Platform for AI Security

Protect AI was a Seattle-based MLSecOps company founded in 2022 by Ian Swanson, Daryan Dehghanpisheh, and Badar Ahmed that built a comprehensive AI and ML security platform. The platform comprised three main products — Guardian (model scanning and supply-chain security), Recon (AI red teaming), and Layer (runtime monitoring) — operating on a unified platform. The company was backed by 17,000+ security researchers via its huntr community and partnered with Hugging Face on threat research. Protect AI was acquired by Palo Alto Networks on July 22, 2025 and its technology has been integrated into Prisma AIRS (AI Runtime Security), Palo Alto's comprehensive AI security platform. Prior to acquisition the company had raised $108.5M total ($14M seed in December 2022, $35M Series A in July 2023, $60M Series B in August 2024), all led by Evolution Equity Partners.

Last verified April 22, 2026Seattle, United States

What the data shows

We haven't published an editorial verdict on this pair yet. The comparison below is built from public vendor materials and our taxonomy — no editorialized ranking.

  • Shared framework coverage: NIST AI RMF
  • Only ModelOp covers: EU AI Act, ISO/IEC 42001
  • Shared capabilities: 4 of 9 listed.

Want our editorial take? Email the editors or read our methodology.

At a glance

AttributeModelOpProtect AI
Founded20182022
HeadquartersChicago, United StatesSeattle, United States
Employees11-5051-200
FundingSeries B, $10M, 2024, led by Baird CapitalSeries B, $108.5M total raised ($14M seed Dec 2022, $35M Series A Jul 2023, $60M Series B Aug 2024) led by Evolution Equity Partners. Acquired by Palo Alto Networks, completed July 22, 2025.
PricingNo public pricing listed; contact sales for enterprise quotes.Now integrated into Palo Alto Networks Prisma AIRS. Original standalone Protect AI pricing was enterprise-only, contact sales. Current pricing through Palo Alto Networks.
WebsiteVisit siteVisit site

Framework coverage

FrameworkModelOpProtect AI
EU AI ActFull
ISO/IEC 42001Full
NIST AI RMFFullPartial

Capabilities

CapabilityModelOpProtect AI
AI Model Inventory
Audit Evidence Collection
Bias & Fairness Testing
Explainability
LLM Guardrails & Content Filtering
LLM Red Teaming
Model Monitoring
Policy Management
Risk Assessment Workflow

Industries served

ModelOp

  • Financial Services
  • Healthcare
  • Insurance
  • Government & Public Sector
  • Retail & E-commerce
  • Defense & National Security

Protect AI

  • Defense & National Security
  • Healthcare
  • Government & Public Sector

Integrations

ModelOp

  • AWS SageMaker
  • Azure ML
  • Google Vertex AI
  • Databricks
  • Snowflake
  • MLflow
  • Jira
  • ServiceNow
  • OpenAI API

Protect AI

  • AWS SageMaker
  • Databricks

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Editorial independence: This comparison is free and was not paid for by either vendor. See our methodology.