Lasso Security vs Prompt Security
Updated March 10, 2026
Overview
Lasso Security provides cybersecurity for large language models, protecting enterprises from LLM-specific threats. Their platform monitors and secures LLM interactions, detecting prompt injection, data leakage, and unauthorized access patterns. Lasso provides visibility into how AI is being used across the organization and enforces security policies.
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.
Key features
Core capabilities each platform advertises.
- LLM interaction security
- Real-time content analysis
- Data loss prevention for AI
- Compliance monitoring
- Anomaly detection
- 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
- Production-ready platform
- Good performance
- Active development
- Strong features
Cons
- Enterprise pricing varies
- Setup complexity
- Learning curve required
Pros
- AI-native security
- Real-time protection
- Enterprise compliance
Cons
- Adds latency
- Pricing opaque
Lasso Security or Prompt Security — which should you choose?
Choose Lasso Security if you wantChoose if you want
- Preventing data leaks through AI interactions
- Monitoring employee AI usage
- Compliance enforcement for AI tools
- Detecting malicious AI interactions
- Enterprise AI security posture
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
Compare Lasso Security and Prompt Security 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.