AI Security

Protect AI

Security platform purpose-built for AI/ML models and pipelines

7.8/10
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Overview

AI/ML security platform purpose-built to secure machine learning models, pipelines, and AI supply chains. Protect AI provides visibility into ML risks, scans models for vulnerabilities, and secures the AI development lifecycle from training to deployment.

EJ

Ehsan's Growth Verdict

7.8/10

Every company deploying AI models has a security blind spot they do not know about — Protect AI is the only vendor addressing it head-on

Best for: Organizations running ML models in production that need to secure the AI supply chain and model lifecycle

Key Features

  • ML model vulnerability scanning
  • AI bill of materials (AI BOM)
  • Model serialization attack prevention
  • ML pipeline security monitoring
  • Open-source tools (ModelScan, NB Defense)

Pros

  • + Only platform focused specifically on securing AI/ML systems
  • + Free open-source tools build trust before purchase
  • + Addresses a risk category that traditional security tools ignore completely

Cons

  • Narrow focus means it supplements rather than replaces existing security
  • Market category is still emerging — ROI is hard to quantify
  • Requires ML engineering maturity to deploy effectively

Pricing

PlanDetails
LayerCustom (model security)
RadarCustom (ML bill of materials)
GuardianCustom (model scanning)
Community ToolsFree (ModelScan, NB Defense)

Best Use Cases

ML model supply chain security
AI governance and compliance
Securing model registries and pipelines

Ehsan's Growth Take

Pickle deserialization attacks on ML models can give an attacker remote code execution, and 95% of security teams have never heard of this threat vector. Protect AI's ModelScan detects malicious payloads in serialized models before they execute — a problem that will grow exponentially as companies download models from Hugging Face without inspection. The market for AI security is where cloud security was in 2018: early, messy, but inevitable. Protect AI is the clear category leader with $108.5 million in funding and open-source credibility via ModelScan. If your company runs ML models in production, schedule a demo. If your security team says "our existing tools cover AI" — they are wrong.

EJ

Ehsan Jahandarpour

AI Growth Strategist & Fractional CMO

Forbes Top 20 Growth Hacker · TEDx Speaker · 716 Academic Citations · Ex-Microsoft · CMO at FirstWave (ASX:FCT) · Forbes Communications Council

Frequently Asked Questions

What is Protect AI?
AI/ML security platform purpose-built to secure machine learning models, pipelines, and AI supply chains. Protect AI provides visibility into ML risks, scans models for vulnerabilities, and secures the AI development lifecycle from training to deployment.
How much does Protect AI cost?
Protect AI uses a subscription pricing model. Guardian: Custom (model scanning). Radar: Custom (ML bill of materials). Layer: Custom (model security). Community Tools: Free (ModelScan, NB Defense).
Is Protect AI worth it in 2026?
Protect AI scores 7.8/10 in our expert review. Every company deploying AI models has a security blind spot they do not know about — Protect AI is the only vendor addressing it head-on. Organizations running ML models in production that need to secure the AI supply chain and model lifecycle.
What are the alternatives to Protect AI?
Alternatives depend on your specific needs. Compare Protect AI with other tools in the security category using our comparison tool.
What are the pros and cons of Protect AI?
Key pros: Only platform focused specifically on securing AI/ML systems, Free open-source tools build trust before purchase, Addresses a risk category that traditional security tools ignore completely. Key cons: Narrow focus means it supplements rather than replaces existing security, Market category is still emerging — ROI is hard to quantify, Requires ML engineering maturity to deploy effectively.