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31 matches for “AI governance”.
News
Affirm reports more completed purchases from a hybrid underwriting model
Affirm announced a transformer-based underwriting model on September 17 and reported 3.4% more completed purchases against a control group. Its technical account describes a transformer feeding learned credit representations into an XGBoost risk model.
Curtis backs proposed protections for AI whistleblowers
Utah Senator John Curtis announced his support for the bipartisan AI Whistleblower Protection Act. His office says the proposal would protect covered disclosures involving federal-law violations, national security or public safety, prohibit retaliation and prevent nondisclosure agreements from blocking protected reports.
Deep dives
Alloy: distinguish fraud models, decision workflows and AI assistants
A practical evaluation of Fraud Signal, custom-model hosting and agent-assisted investigations, with separate evidence standards for prediction and workflow automation.
BioCatch: behavioral signals, scam detection and the limits of a risk score
How behavioral intelligence can complement identity and transaction controls, why unusual behavior is not proof of fraud, and how to evaluate newer sequence-model research.
Feedzai
Fraud decisioning, digital trust and the evidence needed to evaluate performance claims.
Model-risk management after SR 11-7: what SR 26-2 changes
The April 17, 2026 interagency guidance supersedes SR 11-7 and SR 21-8, emphasizes materiality and excludes generative and agentic AI from its formal scope without removing broader governance responsibilities.
Resistant AI: document forensics before an underwriting decision
What document-authenticity models can detect, how their verdicts differ from verified income, and how to handle benign edits, forged statements and customer review paths.
Roll rates and cures: reading the movement behind delinquency
How transition matrices reveal credit deterioration, why cures need their own definition, and how to avoid mistaking portfolio growth or re-aging for better performance.
Sardine: device intelligence and transaction-sequence models for fraud
An evidence-focused review of device signals, issuing-risk models and foundation-model claims, including how to interpret AUC-PR and test cross-institution performance.
Taktile: governing rules, predictive models and AI agents in one decision platform
What Taktile publicly describes, what the evidence does not establish, and how a bank can test decision quality before scaling automation.
Official policy
NIST AI Risk Management Framework ↗
AI governance and risk-management framework; not a banking regulation.
Official source
Sources
View all 20 →AI Incident Database ↗
Documented AI incidents
SourceAnthropic ↗
Model, product and research announcements
SourceArize AI ↗
AI evaluation and observability
SourceCredo AI ↗
AI governance tools
SourceFiddler AI ↗
Model monitoring and explainability
SourceGoogle DeepMind ↗
AI research and models
SourceHugging Face ↗
Model cards, datasets and technical resources
SourceMeta AI ↗
AI models and research
Source