Minimum Sample Size To Lock Control Limits? A Capability- and Risk-Based Approach Using PpK and Chi-Square Uncertainty

Statistical Process Control Workshop: Implementing Quality Control Techniques in Python

This is an educational workshop tutorial that teaches statistical process control (SPC) techniques using Python, specifically focusing on qu

Onspring CISO Nichole Windholz on the limitations of automated GRC dashboards and risk measurement

In this interview, Onspring CISO Nichole Windholz discusses the limitations of automated Governance, Risk, and Compliance (GRC) systems and

6 steps for scaling risk-based AppSec programs

Dynestyx: A Probabilistic Programming Library for State-Space Models and Dynamical Systems

The article introduces dynestyx, a probabilistic programming library designed specifically for state-space models (SSMs) used in Bayesian an

Research on LLM Output Drift in Financial Workflows: Quantifying Consistency Across Model Sizes

This research paper examines the critical issue of output drift in Large Language Models (LLMs) deployed for financial workflows. The study

Building a Production Control Layer for Reliable LLM Structured Outputs

The article describes a production engineering solution for LLM reliability. The author identifies three predictable failure modes in LLM-po