Agen Observability vs Zscaler AI Runtime Protection: Side-by-Side Comparison (2026)

Agen Observability: Discovers, monitors, and governs AI agent & MCP access to enterprise systems. built by Agen.co. Core capabilities include Automated discovery and inventory of all AI agents, copilots, and MCP connections, User monitoring to track which employees are using which AI agents, MCP observability to detect unauthorized or homegrown MCP servers..

Zscaler AI Runtime Protection: Runtime protection for AI systems detecting prompt attacks & data leaks. built by SPLX. Core capabilities include Real-time detection and blocking of jailbreaks and prompt injections, Input and output filtering with guardrails, Custom policy creation using natural language..

Both serve the Agentic AI Security market but differ in approach, feature depth, and target audience.

Agen Observability differentiates with Automated discovery and inventory of all AI agents, copilots, and MCP connections, User monitoring to track which employees are using which AI agents, MCP observability to detect unauthorized or homegrown MCP servers. Zscaler AI Runtime Protection differentiates with Real-time detection and blocking of jailbreaks and prompt injections, Input and output filtering with guardrails, Custom policy creation using natural language.

Agen Observability is developed by Agen.co. Zscaler AI Runtime Protection is developed by SPLX. The vendor behind a product decides its roadmap, support, and longevity, so check each company's profile before you commit.

Agen Observability and Zscaler AI Runtime Protection serve similar Agentic AI Security use cases. Review the feature comparison above to determine which fits your requirements.