Exploring the intersection of complex systems, user experience, and mindful engineering.
An analysis of the LLM security landscape in 2026. From autonomous agent exploitation to the critical gap in deterministic input validation.
A practical guide for software engineers on how to conduct LLM red teaming, identify structural bypasses, and adopt an adversarial mindset.
A candid look at why AI startups prioritize velocity over security, the vulnerabilities they ship, and how to fix text parsing in the LLM era.
Discover why third-party plugins, markdown datasets, and prompt templates are the weakest link in your AI security posture, and how to defend them.
Learn how to integrate PromptShield into your CI/CD pipeline to catch prompt injection, trojan source, and homoglyphs before they reach production.
How to handle overlapping security threats in prompt engineering. A deep dive into span-level reporting, UX design, and avoiding alert fatigue.
