How AI teams protect chatbots with parallel guardrails.
AI teams protect chatbots with multi-scanner guardrails orchestrated by Mistral Workflows, detecting jailbreaks, moderating content, and classifying intent before the model responds.
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Challenge
LLM-powered chatbots deployed in production face adversarial attacks such as jailbreaks, prompt injection, data exfiltration, and off-topic abuse. Single-lens filters either let attacks through or refuse legitimate users, and manual review cannot inspect every input at production volume.
Solution
AI teams use Mistral Workflows to orchestrate three guardrails in parallel: attack-pattern matching, intent classification with a Mistral model, and content moderation with the Mistral Moderation API. The most severe verdict wins, so the chatbot answers or refuses in under two seconds.
Result
Screens every message for jailbreaks and abuse before answering.
