Topics

A defender-vs-attacker walkthrough of the ArtPrompt ASCII-art jailbreak. Where it slipped past safety training, which model families patched and how, and

Tool-using LLM agents amplify every indirect prompt injection vector. A red-team walkthrough of the exploit classes that have landed against production

Before you can attack an LLM app effectively, you need to know what model is under the hood. A practitioner walkthrough of behavioral fingerprinting

Crescendo, Many-Shot, and gradual context manipulation. How multi-turn jailbreaks evade single-turn classifiers, what's still landing in 2026, and where

Vision and audio inputs are a separate attack channel from text. A practitioner survey of multimodal jailbreaks that still land in 2026 — typographic

Coding assistants read everything in your repo and increasingly act on it. A red-team walkthrough of the prompt-injection variants that have shipped

These two terms get used interchangeably and they shouldn't. A jailbreak attacks the model's safety; prompt injection attacks the application's trust

Jailbreaks aren't a grab-bag of tricks — they exploit two structural failure modes of safety training. Understanding competing objectives and mismatched

A practitioner's breakdown of how LLM jailbreaks work — from roleplay conditioning and encoding tricks to multi-turn manipulation — with attack success rates from peer-reviewed research.

DAN (Do Anything Now) is the most replicated persona-injection jailbreak in LLM history. Here's the mechanism, why it worked, what version evolution

An honest practitioner review of NVIDIA's Garak LLM vulnerability scanner — what its probes catch, where the noise is, and where it slots into a real

A practitioner comparison of the three most-cited automated jailbreak frameworks: PAIR, GCG, and TAP. Threat model fit, compute cost, transferability, and

A technical comparison of the best LLM guardrail tools 2026 — NeMo Guardrails, LLM Guard, Lakera, Guardrails AI, Azure Content Safety, and more, with real benchmark data.