Researchers propose policy-as-logic framework combining LLMs for fact extraction with formal logic solvers to ensure generative AI systems correctly apply tax rules and policies—making responses au...
Researcher argues agentic AI governance in financial services hinges not on capability but verifiability—the gap between authority demands and explainability retained after automated decisions.
Research paper argues agentic AI governance in fintech is constrained by verifiability gaps—the shortfall between delegation authority demands and explainability/reproducibility—not capability limits.
arXiv research proposes unified authentication gateway for Model Context Protocol servers connecting LLM agents to enterprise tools, addressing governance gaps across dozens of internal implementat...
Researchers propose SAGE-Fin, a structured authority-handoff contract system that prevents AI financial agents from executing unauthorized transactions by controlling proposed effects at runtime ra...
New research introduces FinRank, a benchmark for evaluating AI systems on financial question answering over SEC filings, focusing on evidence provenance rather than answer correctness alone.
Research on role-differentiated LLM agents for audit resource allocation shows that distributing triage decisions across multiple agents can paradoxically worsen demographic bias outcomes compared ...
Academic scoping review of 4,259 documents reveals AI audits focused on individual models miss integration risks—drawing lessons from aerospace safety-critical auditing for accounting and complianc...
Research reveals systematic validity problems in automated benchmarks evaluating agentic AI systems, with audits finding flaws in 7 of 10 popular benchmarks—raising questions about safety certifica...
arXiv paper introduces ProofAgent Index (PAI), a governance readiness framework for AI agents in production, addressing gap between capability demos and real-world operational constraints in accoun...
Two new federal court decisions clarify attorney-client privilege and work product protections when tax professionals and CPAs use AI tools in client work.
Deloitte debuts ControlCatalyst.AI, an AI tool designed to automate risk identification and enhance audit quality through smarter insights and resource optimization.
LogicGate argues third-party risk management can't rely on prompt-based AI tools; DORA and EU AI Act require auditable, purpose-built agents with documented approvals and compliance evidence.
LogicGate argues third-party risk management requires purpose-built AI agents and audit trails, not prompt-engineered tools, to satisfy DORA and EU AI Act compliance demands.
Snowflake introduces agentic intelligence system for contract review that detects novel clauses using semantic analysis beyond rule-based patterns, combining known-standard language detection with ...
Former Deloitte auditor releases open-source SOC 2 methodology, enabling AI companies to self-audit and streamline compliance — bridging audit expertise with AI accessibility.
Researcher proposes adapting food safety's HACCP methodology to create an auditable self-control standard for AI, bridging compliance gaps in automated systems used by auditors and accountants.
AppZen CTO unveils four-point AI Trust & Assurance Program designed to ensure trustworthiness and compliance of AI agents operating in financial processes like expense management and audit.
Xero unveiled XeroForce at Xerocon London, a no-code AI agent platform enabling accountants to automate finance and compliance workflows via natural language prompts.
PwC's AI systems are producing hallucinated leadership reports with fabricated details and false information, exposing risks in deploying large language models for audit and compliance work without...