Protect AI vs SPLX
A side-by-side comparison of Protect AI and SPLX, 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 | SPLX |
|---|---|---|
| Category | Security | Security |
| Pricing | PAID | PAID |
| License | Proprietary | Proprietary |
| Deployment (differs) | Hybrid | Cloud |
| Platforms | Web, API | Web, API |
| Model support | Model-agnostic | Model-agnostic |
| Vendor (differs) | Protect AI (Palo Alto Networks) | Zscaler |
| Capabilities (differs) |
|
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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
SPLX
Continuous automated red teaming with thousands of domain-specific attack simulations, then turns findings into system-prompt hardening fixes.
- Automated, continuous red teaming
- AI asset discovery and governance
- Runtime protection for live AI apps
- Covers agents, RAG, and MCP servers
- Agentic Radar scanner is open source
- Sales-led, no public pricing
- Enterprise-oriented
- Now folded into Zscaler's platform
- Newer than traditional AppSec tools
When to pick which
Both cover AI security scanning, Red-teaming, and Guardrails.
Pick SPLX if you need Regulatory compliance.
- Regulatory compliance (secondary 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)
SPLX is built around Red-teaming and Guardrails.
- Red-teaming (primary capability)
- Guardrails (primary capability)
They also differ on:
- Deployment
- Hybrid · Cloud