Artificial Intelligence November 11, 2026
The Death of Anonymization: Why Masking ERP Data is Poisoning Your AI
You cannot fix real-world data enough to make it safe for AI without simultaneously making it useless for training.
Axolile Lungu is a qualified chartered accountant and the founder of synthetic cfo, which generates SAP and Oracle ledgers from accounting rules with fraud planted, labelled at the moment it is planted, and innocent look-alikes beside it, so that fraud detection can be trained and measured without a single real record. He audited multinationals in pharmaceuticals, technology, consumer goods and engineering at PwC in South Africa and EY in Ireland, worked in financial accounting and product costing at Gilead Sciences and AbbVie through an SAP S/4HANA implementation, and managed revenue accounting, SOX compliance and fraud resolution at Meta. Since 2025 he has advised AI companies in the United States, the United Kingdom and India on the forensic validation of financial data and the evaluation of finance models. He holds an MBA and is a dual citizen of South Africa and Ireland.
Artificial Intelligence November 11, 2026
You cannot fix real-world data enough to make it safe for AI without simultaneously making it useless for training.