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AI large models are moving deeper into financial fraud prevention

China Accounting News reports that the CSRC has for the first time explicitly emphasized AI large-model use in financial-fraud supervision, shifting the regulatory logic from after-the-fact punishment toward earlier detection, continuous scanning, and systemic prevention.

Industry News新浪财经Source
2026-06-22

A China Accounting News article republished by Sina Finance says that when the CSRC launched its 2026 special campaign against listed-company financial fraud, it explicitly brought AI large models into the supervision toolkit for the first time. The report says the new campaign differs from earlier rounds by moving its focus forward, upgrading technological methods, building a more systematic defense line, and extending accountability across the full chain. In practice, regulators want AI to act as a round-the-clock scanning system that finds anomalies and flags risk earlier, before major harm occurs, while working together with whistleblower incentives, joint enforcement, and end-to-end accountability. For the tax and finance informatization sector, this signals that AI is expanding from internal enterprise automation into compliance and risk-control infrastructure at the capital-market level.