Why AI Threat Models In Finance Must Follow The Data, Not The Code

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...
Finextra

Consumer Duty: How data and modelling can detect and prevent consumer vulnerability

The final rules and guidance for a new Consumer Duty, published by the FCA in a policy statement in July 2022, set higher and clearer standards of consumer protection across financial services, and ...
eWeek

Google Vertex AI Vulnerability Exposes Customer Data — What You Need to Know

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
CSOonline

MLflow vulnerability enables remote machine learning model theft and poisoning

Patched in the latest version of MLflow, the flaw allows attackers to steal or poison sensitive training data when a developer visits a random website on the internet. This has been a pivotal year for ...
Computer Weekly

Enisa launches European vulnerability database

The European Union Agency for Cybersecurity (Enisa) has debuted a European Union Vulnerability Database (EUVD) to provide “aggregated, reliable and actionable” information on newly disclosed cyber ...
EurekAlert!

Hardware vulnerability allows attackers to hack AI training data

Researchers from NC State University have identified the first hardware vulnerability that allows attackers to compromise the data privacy of artificial intelligence (AI) users by exploiting the ...
Hackaday

Examining The Vulnerability Of Large Language Models To Data-Poisoning

Large language models (LLMs) are wholly dependent on the quality of the input data with which these models are trained. While suggestions that people eat rocks are funny to you and me, in the case of ...