… Instead of treating model-visible tools as the security boundary, it models agents as schedulable AgentProcesses with explicit capabilities, typed Object Memory, human approval queues, checkpoints, JIT tool syscalls, and audit records. …
… Automated Auditing of LLM Agent Benchmarks 2026 AuditRepairBench: A Paired-Execution Trace Corpus for Evaluator-Channel Ranking Instability in Agent Repair 2026 ValueBlindBench: Agreement-Gated Stress Testing of LLM-Judged Investment Rationales Before Returns Are Observable 2026 JudgeSense: A Bench… …
… AgensFlow is evaluated on two corpora: distributed-systems incident tasks and security-advisory tasks. …
… The following papers were recommended by the Semantic Scholar API Orchard: An Open-Source Agentic Modeling Framework 2026 Auditing Agent Harness Safety 2026 SafeHarbor: Hierarchical Memory-Augmented Guardrail for LLM Agent Safety 2026 Security Risks in Tool-Enabled AI Agents: A Systematic Analysis … …
… The following papers were recommended by the Semantic Scholar API A Trace-Based Assurance Framework for Agentic AI Orchestration: Contracts, Testing, and Governance 2026 CUJBench: Benchmarking LLM-Agent on Cross-Modal Failure Diagnosis from Browser to Backend 2026 Synthesizing Multi-Agent Harnesses… …
… The following papers were recommended by the Semantic Scholar API STARS: Skill-Triggered Audit for Request-Conditioned Invocation Safety in Agent Systems 2026 PolicyBank: Evolving Policy Understanding for LLM Agents 2026 On-Policy Self-Evolution via Failure Trajectories for Agentic Safety Alignment… …