NeuralTrust vs. Zscaler: AI Runtime Security Comparison 2026

NeuralTrust's TrustGuard and Zscaler offer contrasting approaches to AI runtime security, focusing on different aspects of protection for AI agents. TrustGuard, developed by NeuralTrust, provides inline enforcement across an agent's execution path, allowing for real-time blocking of unsafe tool calls and authentication of agents to tools, and operates across a variety of deployment environments, including air-gapped systems. In contrast, Zscaler, initially a network security platform, incorporates AI security through its acquisition of SPLX, which emphasizes testing, discovery, and log scanning rather than inline enforcement. Zscaler operates as a cloud-delivered service, which limits its applicability in highly sensitive or isolated environments. TrustGuard's approach is designed to provide comprehensive protection by integrating directly into the AI agent's execution process, while Zscaler focuses on broader network security measures and post-action threat detection.

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