DeepFrauds.ai
Where Generative AI Meets Fraud Audit

What is DeepFrauds.ai?

DeepFrauds.ai provides an intelligent, end-to-end audit copilot designed to transform forensic and fraud auditing through AI-driven automation. The platform blends traditional audit rules, forensic analytics, and enterprise fraud typologies with autonomous narrative generation and risk governance. It enables real-time forensic intelligence across audit engagements, redefining how financial crime is detected, reported, and prevented.

Built on a modular ecosystem with seven pillars, the platform includes features like the GenAI Fraud Advisor for simulating auditor thinking, the Fraud Risk Governance Hub for enterprise-wide resilience, and specialized modules for accounting fraud, financial statement analysis, and compliance. It is trained on industry-specific fraud schemes and adheres to standards such as IFAC/ISA, PCAOB, and COSO, offering accelerated detection and automated reporting to save time and improve accuracy.

Features

  • GenAI Fraud Advisor: Uses advanced LLMs to simulate auditor thinking and generate audit narratives instantly
  • Fraud Risk Governance Hub: Aligns fraud risks with COSO & ISO frameworks with predictive risk scoring and dashboards
  • People Forensics Advisor: Analyzes interview transcripts and detects red flags in tone and deception signals
  • Accounting Fraud Audit Engine: Runs ACFE analytics tests and flags suspicious patterns with audit standards mapped
  • Financial Statement Fraud Inspector: Uses LLMs and Beneish M-score for earnings manipulation detection and auto-generates reports
  • Financial Reporting Audit AI: Performs compliance diagnostics and advanced anomaly detection in financial statements
  • Audit Test Compliance AI: Provides regulatory compliance advisory and real-time monitoring of framework changes

Use Cases

  • Automating forensic analysis for fraud detection in financial audits
  • Generating compliance reports for regulatory standards like IFAC/ISA and PCAOB
  • Detecting behavioral red flags in interview transcripts for investigations
  • Analyzing journal entries for accounting fraud using ACFE tests
  • Monitoring enterprise fraud schemes such as invoice payment or payroll fraud
  • Providing risk governance dashboards for executive oversight in fraud prevention

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