ENTITY
Agent-SafetyBench
Agent-SafetyBench
PulseAugur coverage of Agent-SafetyBench — every cluster mentioning Agent-SafetyBench across labs, papers, and developer communities, ranked by signal.
Total · 30d
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Papers · 30d
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TIER MIX · 90D
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SENTIMENT · 30D
1 day(s) with sentiment data
RECENT · PAGE 1/1 · 2 TOTAL
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New FGLGuard system enhances LLM multi-agent safety via federated graph learning
Researchers have developed FGLGuard, a novel system for enhancing the safety of multi-agent systems (MAS) powered by large language models (LLMs). This approach utilizes federated graph learning to train a graph neural …
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Niyam-AI uses zero-knowledge proofs for verifiable AI agent safety
Researchers have introduced Niyam-AI, a novel framework designed to provide cryptographically verifiable safety guardrails for AI agents. Unlike existing methods that rely on software checks, Niyam-AI uses an isolated J…