Publications tagged "Prompt-Injection"

LLMs blur the line between code and data – collapsing the security boundary traditional systems rely on. This post diagrams the architectural flaw behind prompt injection, explains why structured output and JSON schemas can’t restore trust, and explores layered defenses from runtime controls to agent isolation.

A critical vulnerability for Large Language Models (LLMs), prompt injection is easy to trigger, hard to contain, and widely misunderstood. This post revisits early ChatGPT attacks with real screenshots, showing how I bypassed safety layers and what it revealed about the fragility of prompt-based controls.