Research White Papers

Universal AI Governance Platform

Showing 4 papers in AI Safety Clear filters
AI Safety

Internal State Analysis for Real-Time Hallucination Detection in Large Language Models

We present Internal State Analysis (ISA), a novel approach for detecting hallucinations in Large Language Models (LLMs) by monitoring internal neural ...

1 author 2025
Authors:
Universal AI Governance Research Team
1 views 5 downloads
AI Safety

Guardian Agent Anti-Hallucination Framework - Enterprise-Grade AI Protection System

Guardian Agent represents a breakthrough in AI reliability, delivering enterprise-grade protection against hallucinations with 99.7% detection accurac...

1 author 2025
Authors:
Universal AI Governance Research Team
16 views 1 downloads
AI Safety

How Guardian Agent Knows When AI is Making Things Up - The Semantic Entropy Breakthrough

This white paper explains Guardian Agent's breakthrough approach to detecting AI hallucinations through semantic entropy analysis. Unlike traditional ...

1 author 2025
Authors:
Universal AI Governance Research Team
9 views 2 downloads
AI Safety

Guardian Agent: Community-Driven AI Hallucination Detection - An Open Source Framework for Enterprise-Grade AI Reliability

Guardian Agent represents a paradigm shift in AI safety through open source collaboration. This white paper presents a comprehensive framework for det...

1 author 2025
Authors:
Universal AI Governance Research Team
2 views 2 downloads