ManaTI Project vs Zscaler AI Runtime Protection: Side-by-Side Comparison (2026)
Features, pricing, ratings, and pros & cons — compared head-to-head.
ManaTI Project is a free ai threat detection tool. Zscaler AI Runtime Protection is a commercial ai threat detection tool by SPLX. Compare features, ratings, integrations, and community reviews side by side to find the best ai threat detection fit for your security stack.
CST VerdictBased on our analysis of NIST CSF 2.0 coverage, core features, integrations, company size fit, here is our conclusion:
Security analysts who need to rapidly triage and contextualize alerts without waiting for external threat intel feeds will find value in ManaTI Project's interactive ML-driven analysis, particularly for spotting behavioral patterns in existing logs that traditional rules miss. The free, open-source model means you can run it on your own infrastructure with zero licensing friction and inspect the actual logic behind its classifications. This is not for organizations expecting a polished UI or vendor support; it's a practitioner tool that rewards teams comfortable reading Python code and tuning models themselves.
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.
