Securing LLM Interactions: The Guardrail Approach

Securing LLM Interactions: The Guardrail Approach

A comprehensive safety pipeline for trustworthy AI interactions

Wildflare GuardRail offers a complete pipeline to enhance LLM safety across the entire inference workflow, addressing critical security gaps in AI systems.

  • Safety Detection: Identifies unsafe inputs and detects hallucinations in outputs with root-cause explanations
  • Grounding: Contextualizes queries with retrieved information for improved accuracy
  • Comprehensive Protection: Addresses risks throughout the full processing workflow
  • Enhanced Reliability: Creates a more trustworthy foundation for LLM deployments

This research matters for security teams by providing systematic guardrails that prevent harmful content generation, reduce hallucination risks, and establish accountability in AI systems—critical safeguards for enterprise AI adoption.

Bridging the Safety Gap: A Guardrail Pipeline for Trustworthy LLM Inferences

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