An agentic LLM workflow with overview queries, query selection, evidence extraction, and verdict generation achieves significantly higher accuracy on security alert investigation than direct LLM use.
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Develops a conceptual distinction between human-cognitive and artificial-stochastic error architectures in code generation, drawing on Dennett, Rescher, and Floridi to explore implications for AI-human collaboration.
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Towards Agentic Investigation of Security Alerts
An agentic LLM workflow with overview queries, query selection, evidence extraction, and verdict generation achieves significantly higher accuracy on security alert investigation than direct LLM use.
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Architectures of Error: A Philosophical Inquiry into AI and Human Code Generation
Develops a conceptual distinction between human-cognitive and artificial-stochastic error architectures in code generation, drawing on Dennett, Rescher, and Floridi to explore implications for AI-human collaboration.