Acuvity RYNO vs Zscaler AI Runtime Protection: Side-by-Side Comparison (2026)

Acuvity RYNO

Mid-market and enterprise teams deploying AI agents internally should pick Acuvity RYNO if shadow AI discovery and runtime governance are your actual pain points, not aspirational ones. The platform covers the full lifecycle,from finding unauthorized model usage to blocking prompt injection at runtime and enforcing data loss prevention across text, code, and images,which maps directly to ID.AM and DE.CM in NIST CSF 2.0. Skip this if you need broad GenAI usage monitoring without enforcement teeth, or if your primary concern is vetting third-party AI vendors rather than controlling internal deployments.

Zscaler AI Runtime Protection

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.