A flash crash on a trading bot. A pricing model that discriminates and triggers a class action. A data leak via an internal LLM. When your AI causes a crisis, standard IT forensics is no longer enough: your lawyers need algorithmic reverse engineering to build their defense.
Traditional IT forensics is designed to find deleted emails or track network intrusions. It is blind to neural networks and Machine Learning. In the financial world, proving why an algorithm made a specific decision (explainability) is the core of the legal battle.
Main Street Brigade acts as an independent expert. We isolate the corrupted model, dissect the synaptic weights, and analyze training data to pinpoint the exact root cause of the incident.
Algorithmic forensics is a post-incident emergency measure. To prevent future crises, we subsequently restructure the institution's governance via our ISO 42001 Readiness. If the incident involved systemic discrimination, we apply a comprehensive Bias Audit. We also secure failing Fraud Systems and certify your future Credit Scoring models prior to redeployment. Discover our complete compliance approach on the Main Street Brigade homepage.
Our final deliverable is not an obscure technical report. It is an expert memorandum, aligned with EU AI Act requirements, designed to arm your legal teams against regulators or plaintiffs.
During regulatory investigations, the speed at which a financial institution can provide a mathematical explanation for an incident is the primary factor in reducing multi-million euro fines.
Post-flash crash investigation. Analysis of algorithmic feedback loops and market signals to determine if the AI deliberately executed toxic orders or if it was manipulated (induced Spoofing/Layering).
When a bank is accused of systemic discrimination (loan rates, credit denials), we isolate proxy variables (zip codes, purchase history) to prove or disprove the cognitive bias of the Machine Learning model.
Tracing vulnerabilities in internal generative AI architectures. Identifying the vectors through which sensitive financial data or trade secrets were "learned" and mistakenly regurgitated to unauthorized users.
Immediate freeze of the model (without destroying RAM logs) and extraction of synaptic weights to an isolated infrastructure.
Our Algorithmic Forensics experts deconstruct the AI's decision layers to pinpoint the exact mathematical anomaly.
Cross-referencing the technical flaw with EU AI Act and GDPR requirements to define the institution's legal exposure.
Delivery of an accessible expert report, designed to support your lawyers' arguments or satisfy regulatory demands.