Prompt injection is exploiting enterprise AI's biggest design flaws by targeting agents, RAG pipelines and model routers

In 2025 and 2026, several independent sources have highlighted the same trend: Prompt injection remains one of the most ...
InfoQ

DeepMind Researchers Propose Defense against LLM Prompt Injection

To prevent prompt injection attacks when working with untrusted sources, Google DeepMind researchers have proposed CaMeL, a defense layer around LLMs that blocks malicious inputs by extracting the ...
Ars Technica

These psychological tricks can get LLMs to respond to “forbidden” prompts

If you were trying to learn how to get other people to do what you want, you might use some of the techniques found in a book like Influence: The Power of Persuasion. Now, a pre-print study out of the ...
TDWI

From Pilot to Production: Why LLM Features Stall, and a Readiness Checklist for Data Leaders

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 ...
Geeky Gadgets

Context Engineering vs Prompt Engineering : The Secret Sauce to Smarter AI

What if the key to unlocking truly intelligent AI isn’t just about asking the right questions, but about building the perfect environment for those questions to thrive? While much of the conversation ...
i-SCOOP

Token minimizing, how to cut LLM costs without losing quality

Token minimizing is the fastest way to lower LLM costs and latency. Learn practical techniques: prompt trimming, compaction, ...