LLM security Archive - Hey-GPT.de - Daily GenAI News Digest

This talk explores the hidden risks in apps leveraging modern AI systems, especially those using large language models (LLMs) and retrieval-augmented generation (RAG) workflows. It demonstrates how sensitive data, such as personally identifiable information (PII) and social security numbers, can be extracted through real-world attacks. The presentation highlights that current PII scanning tools fail to recognize the rich data within these systems, posing a significant privacy disaster for AI ecosystems.

20. November 2025

GenAI Updates

Exploiting Shadow Data from AI Models – Patrick Walsh (DEF CON 33)

Exploiting Shadow Data from AI Models (Patrick Walsh, DEF CON 33) I watched Patrick Walsh’s…

8. November 2025

GenAI Updates Published

Design Patterns for Securing LLM Agents against Prompt Injections

How to make LLM agents safe from prompt injections, without breaking their usefulness If you…