Quantitative Risk Assessment in AML refers to a data-based approach that uses numerical scoring models to measure and score an entity’s exposure to Money laundering, Terrorist Financing, and ...

Everyone is talking about cybersecurity. Leaders with decades of experience at CEO, CFO and CRO level have seen it advance from a curious subset of IT to a board issue demanding their time and ...

Researchers have introduced a new framework designed to evaluate AI systems using measurable risk and assurance metrics before deployment. The study, “Risk-Based AI Assurance Framework (RBAAF)”, ...

There is wide interest in studying how the distribution of a continuous response changes with a predictor. We are motivated by environmental applications in which the predictor is the dose of an ...

April 2008 Risk management is a central part of a bank's operation. Most banks have an in-house risk management department and use external risk consultants. However a large part of risk management ...

A new technical paper, “An Integrated Failure and Threat Mode and Effect Analysis (FTMEA) Framework with Quantified Cross-Domain Correlation Factors for Automotive Semiconductors,” was published by ...

The Bank Secrecy Act (BSA) does not explicitly state that money services businesses (MSBs) must conduct an anti-money laundering (AML) risk assessment. However, it does say that an MSB “shall develop, ...

Bloomberg’s Liquidity Assessment Tool (LQA) pioneers the use of machine learning to estimate liquidity risk as global regulators oblige institutional investors to factor liquidity into risk and ...