Agent Vault vs Zscaler AI Runtime Protection: Side-by-Side Comparison (2026)

Agent Vault: Zero-trust security & governance platform for autonomous agentic AI systems. built by Ntur AI. Core capabilities include Cryptographically enforced tool execution via signed tool registry with public/private key validation, Immutable audit trails for continuous compliance, Behavioral drift detection and dynamic guardrails..

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.

Agent Vault differentiates with Cryptographically enforced tool execution via signed tool registry with public/private key validation, Immutable audit trails for continuous compliance, Behavioral drift detection and dynamic guardrails. 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.

Agent Vault is developed by Ntur 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.

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