Xcientist externalizes research synthesis and validation in AI scientists via contract-governed artifacts to maintain traceable trajectories and avoid claim drift across three domains.
Trinityguard: A unified framework for safeguarding multi-agent systems
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Agent-BOM is a unified hierarchical attributed directed graph that models static capability bases and dynamic semantic states of LLM agents for path-level security auditing and risk assessment.
A synthesis of 247 papers on LLM agent security identifies prompt injection and tool hijacking as dominant threats, notes weakly compositional defenses, and argues for trust boundaries and realistic evaluations.
citing papers explorer
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Externalizing Research Synthesis and Validation in AI Scientists through a Research Harness
Xcientist externalizes research synthesis and validation in AI scientists via contract-governed artifacts to maintain traceable trajectories and avoid claim drift across three domains.
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Towards Security-Auditable LLM Agents: A Unified Graph Representation
Agent-BOM is a unified hierarchical attributed directed graph that models static capability bases and dynamic semantic states of LLM agents for path-level security auditing and risk assessment.
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Toward Secure LLM Agents: Threat Surfaces, Attacks, Defenses, and Evaluation
A synthesis of 247 papers on LLM agent security identifies prompt injection and tool hijacking as dominant threats, notes weakly compositional defenses, and argues for trust boundaries and realistic evaluations.