End-to-end AI security and governance platform to discover, monitor, red-team and prove enterprise AI
EU AI ActNIST AI RMFISO/IEC 42001
Protect AI
End-to-end security for the AI and machine-learning supply chain
What Protect AI does
Protect AI is a security company focused on protecting the machine-learning supply chain from development through runtime, now part of Palo Alto Networks. Its portfolio spans model and application security: Guardian is an AI security gateway that scans 35+ model formats (PyTorch, TensorFlow, ONNX, Keras, Pickle, GGUF, Safetensors and more) for deserialization attacks, backdoors, and malicious payloads before models reach production, building on the widely used open-source ModelScan project. LLM Guard, an open-source toolkit downloaded millions of times, provides runtime input/output scanners that anonymize PII, redact secrets, and counter prompt injection, jailbreaks, and toxic content. Recon delivers automated, scalable red teaming with a library of 450+ known attacks against LLMs and AI agents. The company also operates Sightline/huntr, a vulnerability database and bug-bounty community for AI/ML. Founded in 2022 and based in Seattle, Protect AI raised a $60M Series B in 2024 at a reported ~$400M valuation before Palo Alto Networks agreed to acquire it in April 2025 for about $700M, folding its technology into the Prisma AIRS platform. Protect AI is aimed at security and ML teams that need to inventory, scan, and defend models, pipelines, and LLM applications across the AI lifecycle.
Key capabilities
- Guardian model-scanning security gateway
- ModelScan open-source model scanning
- LLM Guard runtime input/output scanners
- Recon automated red teaming (450+ attacks)
- huntr AI/ML vulnerability database and bug bounty
- MLSecOps supply-chain visibility
Best for
Security and ML teams needing to scan and defend models, pipelines, and LLM apps across the AI lifecycle
Limitations
Now integrated into Palo Alto Networks, so standalone products may converge into Prisma AIRS; breadth means some components (runtime guardrails vs. model scanning) are stronger than others
Framework coverage
| Framework | Type | Supported |
|---|---|---|
| NIST AI RMF | Voluntary framework | Yes |
| SOC 2 | Control framework | Yes |
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