What the user has been doing in the session, not just what they're looking at, is a separate context layer that most teams ...
Companies once measured AI by tokens burned. The real metric is whether your workflows survive when one lab pulls the model out from under you. Freedom from the Frontier.
The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...
LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.
The rapid adoption of large language model (LLM) systems across the federal government has prompted the U.S. General Services Administration (GSA) ...
An "agentic threat actor" successfully exploited a Langflow flaw to steal data from a production database server and encrypt ...
NLP and LLM teams often grow their training corpuses to improve model performance but they still do not always obtain ...
A recent report from cloud security firm Sysdig details the capabilities of JadePuffer, which it says is the first ransomware ...
In 2025 and 2026, several independent sources have highlighted the same trend: Prompt injection remains one of the most ...
Pilots that looked promising do not always survive the transition, and the failure pattern is consistent enough that data leaders can plan around it. This article describes three failure modes that ...
JADEPUFFER is an agentic threat actor (ATA), or an operator whose attack capability is delivered by an AI agent rather than a ...