Aiceberg Risk Signals Library vs Zscaler SPLX: Side-by-Side Comparison (2026)

Aiceberg Risk Signals Library

Mid-market and enterprise security teams deploying generative AI applications need Aiceberg Risk Signals Library to catch prompt injection and data exfiltration before they happen, which most traditional DLP tools completely miss. The library's dual focus on input validation (prompt injection detection) and output controls (prompt leaking prevention) covers the attack surface unique to LLM applications, addressing gaps in PR.DS and DE.CM that legacy platforms ignore. Skip this if your GenAI use is experimental or limited to public ChatGPT; the pricing and operational overhead make sense only when AI models are handling sensitive data at scale.

Zscaler SPLX

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.