Features, pricing, ratings, and pros and cons, compared head to head.
AI Security Gateway™ is a commercial llm guardrails tool by Occludra. Zscaler AI Runtime Protection is a commercial llm guardrails tool by SPLX. Compare features, ratings, integrations, and community reviews side by side to find the best llm guardrails fit for your security stack. Independent and vendor-neutral: our scores and rankings are earned, never bought — sponsored placement is always labeled.
Based on our analysis of core features, integrations, company size fit, deployment model, here is our conclusion:
Mid-market and enterprise teams deploying LLMs at scale need Zscaler AI Runtime Protection primarily for its near-zero latency filtering of prompt injections and jailbreaks without slowing inference. The tool's real-time detection paired with full prompt and response logging addresses NIST DE.CM and DE.AE requirements that most AI security offerings skip over. Skip this if your organization runs fewer than three LLM applications in production or needs post-incident recovery capabilities; Zscaler is detection and blocking only, not forensic reconstruction.
OpenAI-compatible proxy for LLM DLP, PII redaction, and cost governance.
Runtime protection for AI systems detecting prompt attacks & data leaks
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Common questions about comparing AI Security Gateway™ vs Zscaler AI Runtime Protection for your llm guardrails needs.
AI Security Gateway™: OpenAI-compatible proxy for LLM DLP, PII redaction, and cost governance. built by Occludra..
Zscaler AI Runtime Protection: Runtime protection for AI systems detecting prompt attacks & data leaks. built by SPLX..
Both serve the LLM Guardrails market but differ in approach, feature depth, and target audience.
AI Security Gateway™ is developed by Occludra founded in 2025-01-01T00:00:00.000Z. 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.
AI Security Gateway™ and Zscaler AI Runtime Protection serve similar LLM Guardrails use cases: both are LLM Guardrails tools. Review the feature comparison above to determine which fits your requirements.
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