Prompt Security vs Protect AI (2026)
Updated March 10, 2026
Overview
Prompt Security provides enterprise GenAI security across the entire AI stack. Their platform protects against prompt injection, data exfiltration, harmful content, and shadow AI usage. It works as a transparent proxy for all LLM traffic, enabling centralized security policy enforcement without changing application code.
Protect AI provides end-to-end AI/ML security covering the entire model lifecycle. Its platform includes model scanning for vulnerabilities, supply-chain security for ML artifacts, runtime threat detection, and policy enforcement. Protect AI helps enterprises secure AI pipelines from development through production deployment.
Key features
Core capabilities each platform advertises.
- Full-stack GenAI security platform
- Prompt injection prevention
- Shadow AI detection
- Data leakage prevention
- Security posture management
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- AI-native security
- Real-time protection
- Enterprise compliance
Cons
- Adds latency
- Pricing opaque
Pros
- Comprehensive security coverage across the entire AI/ML lifecycle
- Specialized focus on AI-specific threats and vulnerabilities
- Enterprise-grade features including supply-chain security and policy enforcement
- Strong runtime threat detection capabilities
Cons
- No public pricing makes budget planning difficult
- Enterprise-only model may not be accessible for smaller teams
- Requires consultation with sales team for quotes, adding friction to evaluation
- Custom pricing based on deployment scale can lead to unpredictable costs as AI usage grows
Prompt Security or Protect AI — which should you choose?
Choose Prompt Security if you wantChoose if you want
- Securing enterprise LLM deployments
- Detecting unauthorized AI usage
- Preventing sensitive data exposure in AI
- GenAI security compliance
- Shadow AI governance
Choose Protect AI if you wantChoose if you want
Compare Prompt Security and Protect AI on your own traffic
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 1,000+ models through one gateway.
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