Protect AI Funding History

Protect AI develops security tools for the machine learning supply chain, including model scanning, dependency inspection and runtime protection. Palo Alto Networks acquired the company and integrated it into Prisma AIRS.

Company Overview

Protect AI logo

Protect AI

  • Code Security
Official Website

Protect AI Funding Timeline

  1. Announced Aug 1, 2024

    Series B

    US$60 million

    At the time of the round, Protect AI was selling tools to secure machine learning and AI systems and had acquired Laiyer AI and SydeLabs earlier that year.

    Led by Evolution Equity Partners. Participation included StepStone Group, Samsung Venture Investment, Acrew Capital, Boldstart Ventures, Salesforce Ventures.

    Source · geekwire.com ↗
  2. Announced Jul 26, 2023

    Series A

    US$35 million

    Protect AI said the proceeds would help expand its AI security product suite.

    Led by Evolution Equity Partners.

    Source · geekwire.com ↗
  3. Date under review

    Seed

    US$13.5 million

    Protect AI came out of stealth with a tool to scan machine-learning notebooks for security issues.

    Led by Acrew Capital, Boldstart Ventures.

    Source · geekwire.com ↗
  4. Date under review

    Acquisition

    Reported US$500M-1.1B (sources vary)

    Palo Alto Networks planned to bring Protect AI into Prisma AIRS, its platform for scanning models, assessing risk and securing AI systems in production.

    Led by Palo Alto Networks.

    Source · geekwire.com ↗

Protect AI Founding Team

Ian Swanson, Daryan Dehghanpisheh, and Badar Ahmed co-founded Protect AI. The founding team brought experience from AWS and DataScience.com to securing the software and infrastructure used to build and run machine learning systems.

Protect AI Company Development

Model Scanning Joins Prisma AIRS

ModelScan addressed a narrow supply-chain problem: inspecting model files for unsafe content before use. Palo Alto Networks completed its acquisition of Protect AI in July 2025 and incorporated its technology into Prisma AIRS, bringing that upstream check into a wider AI security portfolio.

Protect AI Competitive Landscape

Securing the Artifact Before Deployment

Model scanning starts before an application receives any prompts. It addresses a different risk from the prompt-injection controls sold by Prompt Security, which inspect how a deployed AI application interacts with its users and inputs.