Overview
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The Algorithmic Auditor is an essential, evidence-grounded operational manual for regulatory professionals at the SEC and FINRA tasked with navigating the digital frontier of broker-dealer oversight. This book bridges the gap between traditional manual inspection and the modern requirement for computational, network-based forensics in an era where fragmented markets, generative AI, and complex algorithmic strategies have rendered legacy tabular analysis obsolete. Through a technical examination of the Consolidated Audit Trail (CAT), predictive data analytics, and the emerging field of adversarial machine learning, the text equips inspectors with the protocols necessary to detect sophisticated fraud typologies—including AI-washing, off-channel communication evasion, and systemic market manipulation—while reinforcing the immutable principle that technological innovation does not absolve firms of their fundamental regulatory obligations.
Select a section in Contents to read.