Protect AI vs Zenity
A side-by-side comparison of Protect AI and Zenity, two Security tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
Protect AI
SecurityEnd-to-end security for ML models, AI apps, and the AI supply chain.
View Protect AIAt a glance
| Attribute | Protect AI | Zenity |
|---|---|---|
| Category | Security | Security |
| Pricing | PAID | PAID |
| License | Proprietary | Proprietary |
| Deployment (differs) | Hybrid | Cloud |
| Platforms (differs) | Web, API | Web |
| Model support | Model-agnostic | Model-agnostic |
| Vendor (differs) | Protect AI (Palo Alto Networks) | Zenity |
| Capabilities (differs) |
|
|
The honest brief
Protect AI
Secures the whole ML supply chain from model selection to runtime, and stewards the OSS ModelScan tool the field relies on.
- Covers full AI/ML lifecycle
- Model scanning for serialization attacks
- Adds AI red teaming and posture management
- Now part of Palo Alto Prisma AIRS
- Enterprise, paid-only
- Roadmap folding into Prisma AIRS
- Broad scope, longer to deploy
Zenity
Purpose-built for AI agents and copilots, not retrofitted app security — discovery, governance, and runtime threat protection from one console.
- Agent/copilot-specific security posture
- Covers low-code and no-code apps
- Backed by Microsoft's M12
- Discovery + runtime protection
- Enterprise-only, no public pricing
- Demo-gated onboarding
- Newer, fast-evolving category
When to pick which
Both cover AI security scanning and Guardrails.
Pick Protect AI if you need Red-teaming.
- Red-teaming (secondary capability)
Pick Zenity if you need LLM observability.
- LLM observability (primary capability)
They share capabilities, but each leads with different ones as a headline job:
Protect AI is built around AI security scanning.
- AI security scanning (primary capability)
Zenity is built around Guardrails.
- Guardrails (primary capability)
They also differ on:
- Deployment
- Hybrid · Cloud
- Platforms
- Web, API · Web