Akto Secure AI Usage vs Zscaler AI Runtime Protection: Side-by-Side Comparison (2026)

Mid-market and enterprise security teams managing sprawling employee AI tool adoption will get the most from Akto Secure AI Usage because it actually catches agentic assets and MCP servers running on endpoints, not just ChatGPT in a browser tab. The endpoint agent monitors across 80+ connectors with real-time interception of unsafe interactions, covering the DE.CM and DE.AE functions where most AI monitoring solutions stop at shallow SaaS discovery. Skip this if you're looking for a data loss prevention tool that happens to watch AI; Akto is built around the assumption that your AI risk sits at the endpoint, and that architectural choice limits its value for teams primarily concerned with SaaS AI compliance. 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.

Based on our analysis of core features, integrations, company size fit, deployment model, here is our conclusion: