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 ...
Financial IT

Akur8 Acquires Matrisk, Bringing Powerful Filings Search And Market Intelligence to its Pricing Platform

Akur8, the next-generation insurance pricing and reserving solution built on transparent machine learning, announced today the acquisition of Matrisk, an AI-driven platform that transforms ...
IBS Intelligence

Insurers prepare for AI-led operations in 2026

IBS Intelligence (IBSi) is the world’s only pure-play Financial Technology focused research, advisory, and fintech news ...
MIT Technology Review

LLMs contain a LOT of parameters. But what’s a parameter?

Think back to middle school algebra, like 2 a + b. Those letters are parameters: Assign them values and you get a result. In ...

Zeitro Introduces Scenario AI for Mortgage Origination

Already in use by industry leaders like GMCC, Googain, and Mega Capital, Scenario AI is now publicly available to mortgage professionals, supporting a streamlined, evidence-based approach to ...

Roadmap for Agile Enterprise Operations: How the Comprehensive Budget Management System Company Reshapes Decision Granularity and Value Chains

Paradigm Shift from "Financial Compliance" to "Business Inference" In the digital landscape of 2026, budget management has ...
Becker's Hospital Review

Stanford AI model forecasts disease risk years in advance

Researchers at Palo Alto, Calif.,-based Stanford Medicine have developed an AI model capable of predicting an individual’s risk of developing more than 100 health conditions using sleep study data.