ModelOp vs Protect AI
Side-by-side comparison of framework coverage, pricing, capabilities, and target customers. Last verified April 2026.
https://aicompliancevendors.com/compare/modelop-vs-protect-aiModelOp
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.
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.
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
| Attribute | ModelOp | Protect AI |
|---|---|---|
| Founded | 2018 | 2022 |
| Headquarters | Chicago, United States | Seattle, United States |
| Employees | 11-50 | 51-200 |
| Funding | Series B, $10M, 2024, led by Baird Capital | Series 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. |
| Pricing | No 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. |
| Website | Visit site | Visit site |
Framework coverage
| Framework | ModelOp | Protect AI |
|---|---|---|
| EU AI Act | Full | — |
| ISO/IEC 42001 | Full | — |
| NIST AI RMF | Full | Partial |
Capabilities
| Capability | ModelOp | Protect 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.