Persona-Execution Separation enables auditable LLM agents in regulated firms

arXiv: AI + Accounting · Yisen Xi · August 27, 2026 · 1 min read · Relevance: 78/100

Researchers propose architecture pattern separating LLM agent personas from execution to maintain audit trails while allowing instruction evolution—key for deploying AI agents in governed organizat...

Researchers propose trace integrity framework for auditable LLM data agents
Research proposes forensic framework for multi-agent AI accountability in fin...
Study audits self-evolving financial agents for security drift and capability...

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Researchers propose trace integrity framework for auditable LLM data agents

HQ arXiv: AI + Accounting arXiv · 2d ago · 1 min read

Academic paper introduces Trace Integrity criterion for LLM data agents in structured-data tasks, enabling auditable reasoning paths critical for accounting compliance and financial systems.

Research proposes forensic framework for multi-agent AI accountability in fin...

HQ arXiv: AI + Accounting arXiv · 5d ago · 1 min read

Academic paper introduces HANSARD, a reference architecture for auditing autonomous AI agents in finance and security, addressing liability gaps when multi-agent systems cause harm through provenan...

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Agent Decomposition Degrades Financial Policy Compliance, New Benchmark Reveals

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