Calypso AI Inference Platform vs Zscaler SPLX: Side-by-Side Comparison (2026)

Short answer

Mid-market and enterprise security teams deploying large language models need inference-layer defense before attackers find prompt injection vulnerabilities in production, and Calypso AI Inference Platform is built specifically for that job with agentic red-teaming that automatically discovers LLM weaknesses before users do. The platform covers the full NIST Detect and Respond workflow,continuous monitoring of AI interactions plus real-time adaptive blocking,and runs hybrid (on-premises or SaaS) so you're not forced into cloud-only deployment. Skip this if you're still in the planning phase or running only small, non-customer-facing AI pilots; Calypso assumes you have models in active use and the security ops bandwidth to act on findings. Enterprise security teams deploying large language models in production will find value in Zscaler SPLX because it combines runtime input guardrails with automated red teaming, catching both prompt injection attacks and drift in model behavior that traditional security tools miss. The platform maps to six NIST CSF 2.0 functions across asset discovery, continuous monitoring, and supply chain risk, with particular strength in the Adverse Event Analysis phase through real-time LLM log inspection. This tool is overkill for teams still piloting single LLM applications or those primarily concerned with third-party model risk; it's built for organizations managing agentic workflows and internal model customization at scale.