DataRobot vs Protect AI
Side-by-side comparison of framework coverage, pricing, capabilities, and target customers. Last verified recently.
https://aicompliancevendors.com/compare/datarobot-vs-protect-aiDataRobot
Meet the only agent workforce platform built for outcomes — not endless pilots.
DataRobot is an enterprise AI platform that provides end-to-end automation for building, deploying, monitoring, and governing predictive, generative, and agentic AI models. Key differentiators include comprehensive AI governance with built-in support for frameworks like EU AI Act and NIST AI RMF, real-time monitoring and intervention, automated compliance documentation, and a centralized registry for all AI assets. It targets large enterprises in sectors like financial services, healthcare, and manufacturing needing scalable ML ops and risk management. Recognized as a leader in Gartner Magic Quadrant for DSML platforms and #1 in governance use case by Gartner Critical Capabilities.
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 DataRobot covers: Colorado AI Act, EU AI Act, NYC LL 144
- Shared capabilities: 5 of 12 listed.
Want our editorial take? Email the editors or read our methodology.
At a glance
| Attribute | DataRobot | Protect AI |
|---|---|---|
| Founded | 2012 | 2022 |
| Headquarters | Boston, US | Seattle, United States |
| Employees | 1000+ | 51-200 |
| Funding | $1B total (Series G, undisclosed date) | 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 | Contact for pricing | 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 | DataRobot | Protect AI |
|---|---|---|
| Colorado AI Act | Comprehensive | — |
| EU AI Act | Comprehensive | — |
| NIST AI RMF | Comprehensive | Partial |
| NYC LL 144 | Comprehensive | — |
Capabilities
| Capability | DataRobot | Protect AI |
|---|---|---|
| AI Model Inventory | ✓ | ✓ |
| Audit Evidence Collection | ✓ | — |
| Bias & Fairness Testing | ✓ | — |
| Data Lineage | ✓ | — |
| Drift Detection | ✓ | — |
| Explainability | ✓ | — |
| LLM Evaluation | ✓ | — |
| LLM Guardrails & Content Filtering | — | ✓ |
| LLM Red Teaming | ✓ | ✓ |
| Model Monitoring | ✓ | ✓ |
| Policy Management | ✓ | ✓ |
| Risk Assessment Workflow | ✓ | ✓ |
Industries served
DataRobot
- Financial Services
- Healthcare
- Manufacturing
- Insurance
- Government & Public Sector
- SaaS & Technology
Protect AI
- Defense & National Security
- Healthcare
- Government & Public Sector
Integrations
DataRobot
- NVIDIA
- Snowflake
- Apache Airflow
- AWS SageMaker
- Azure ML
- Databricks
- MLflow
- OpenAI API
Protect AI
- AWS SageMaker
- Databricks
Get quotes from both
Want a side-by-side proposal? Send a single structured request to DataRobot and Protect AI and each will reply with scope, pricing, and timelines. You'll see exactly what we share before submitting.
Vendors pay a flat per-lead fee when they receive a qualified request. That fee does not influence what you see on this page. Details.
Editorial independence: This comparison is free and was not paid for by either vendor. See our methodology.