Protect AI Layer vs Zscaler AI Runtime Protection: Side-by-Side Comparison (2026)

Protect AI Layer: Runtime security platform for AI apps with threat detection and monitoring. built by Protect AI. Core capabilities include Automatic AI application discovery using eBPF monitoring, 27 turnkey security policies based on 15 security scanners, End-to-end monitoring of AI interactions including tool calls and function calls..

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 LLM Guardrails market but differ in approach, feature depth, and target audience.

Protect AI Layer differentiates with Automatic AI application discovery using eBPF monitoring, 27 turnkey security policies based on 15 security scanners, End-to-end monitoring of AI interactions including tool calls and function calls. 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.

Protect AI Layer is developed by Protect AI. Zscaler AI Runtime Protection is developed by SPLX. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

Protect AI Layer integrates with DataDog, Splunk, Elastic, PagerDuty. Zscaler AI Runtime Protection integrates with REST API, Large Language Models, Conversational platforms. Check integration compatibility with your existing security stack before deciding.

Protect AI Layer and Zscaler AI Runtime Protection serve similar LLM Guardrails use cases: both are LLM Guardrails tools, both cover Anomaly Detection. Review the feature comparison above to determine which fits your requirements.