Prompt Security vs Salus
Updated March 27, 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.
Runtime guardrails API that validates AI agent actions against policies before execution, blocking incorrect actions with structured feedback.
Key features
Core capabilities each platform advertises.
- Full-stack GenAI security platform
- Prompt injection prevention
- Shadow AI detection
- Data leakage prevention
- Security posture management
- Runtime action validation
- Policy-based guardrails
- Pre-execution blocking
- Structured feedback for self-correction
- Agent action auditing
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
- Solves a critical problem — agents executing incorrect actions can cost enterprises thousands per incident
- Clean developer experience with Python SDK, decorator-based instrumentation, and framework-agnostic compatibility
- 58% self-recovery rate on blocked actions means agents keep working rather than failing hard
- Comprehensive approach combining runtime guardrails, observability, and pre-deployment adversarial evals
- Well-funded at .7M with strong Stanford CS founding team
Cons
- No public pricing creates friction for developer adoption in a space with transparent free tiers
- Very early stage (founded 2026) with a small team and limited enterprise track record
- Competes with Guardrails AI and built-in safety features from OpenAI and Anthropic
- Adding a validation layer introduces latency to every agent action
Prompt Security or Salus — 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 Salus if you wantChoose if you want
- Agent safety enforcement
- Action policy compliance
- Runtime guardrails
- Agent audit trails
Compare Prompt Security and Salus 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 500+ models through one gateway.