From retail banking to high-frequency speculative markets, algorithms dictate the flow of capital. Under the EU AI Act and MiFID II, predictive models determining creditworthiness, autonomous trading strategies, and M&A corporate analytics are subject to stringent oversight.
Operating as an independent, non-commercial research initiative, our observatory documents the systemic shift from corporate self-assessment to independent validation. Relying on the sovereign auditing protocols of WASA Confidence, we analyze how standardizing data pipelines secures the real economy.
Mandatory third-party documentation for High-Risk financial credit engines.
Continuous alignment tracking across ISO 42001, 23894, 5259, and 27001 frameworks.
Following the 2008 financial crash, the Main Street Brigade mobilized to fight the opacity of Wall Street's toxic financial products. We advocated for the creation of the Consumer Financial Protection Bureau (CFPB) to protect the real economy.
Today, the danger lies in the "black boxes" of Artificial Intelligence. Relaunched as an independent observatory, we monitor the algorithmic systems that dictate retail credit, speculative trading, and M&A valuations.
Documenting regulatory compliance for machine learning models determining consumer creditworthiness under the EU AI Act.
Read the studyAnalyzing High-Frequency Trading algorithms, autonomous market manipulation risks, and flash-crash vulnerabilities.
Explore trading dataEvaluating the legal liability of acquiring AI assets. Documenting mandatory algorithmic audits required before tech mergers.
Read M&A paperAnalysis of statistical bias in underwriting datasets and insurance pricing models to mitigate demographic discrimination.
Explore dataReviewing the enforcement of mandatory "Human-in-the-loop" protocols when algorithms freeze retail banking profiles.
Read paperPost-mortem case notes on predictive model drift and the technical investigation of systemic AI failures in finance.
Read case studiesComprehensive analysis of Artificial Intelligence Management Systems (AIMS) integrated into FinTech applications.
View frameworkSecuring financial raw data pipelines against adversarial data poisoning and unauthorized infrastructure leaks.
Read infosec notesImplementation of adversarial stress-testing protocols to map algorithmic vulnerabilities in financial environments.
View framework