Improving LLM Security Against Prompt Injection: AppSec Guidance For Pentesters and Developers – Part 2
Understanding Transformer Models (especially attention), Causes and How Do We Stop Prompt Injection.
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- 2026-10-10
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Improving LLM Security Against Prompt Injection: AppSec Guidance For Pentesters and Developers blog.includesecurity.com
Using Role Based APIs to Minimize the Risk of Prompt Injection and 13 Guidelines for Writing System Prompts that Minimize the Risk of Prompt Injection.
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Design Patterns for Securing LLM Agents against Prompt Injections simonwillison.net
Overview of various strategies to mitigate the risk of prompt injection.
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How AI Prompt Injection Works | Hands-on with LLMs youtube.com
Jan 2026 AppSecEngineer tutorial with a code-level demo of injecting against a real LLM application and live testing of LLM Guard detection. One of the most practical end-to-end tutorials published to date.
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Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection arxiv.org
This paper explores the concept of Indirect Prompt Injection attacks on Large Language Models (LLMs) through their integration with various applications. It identifies significant security risks, including remote data theft and ecosystem contamination, present in both…
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Prompt injection explained simonwillison.net
Video, slides, and a transcript of an introduction to prompt injection and why it's important.
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Prompt Injection 2.0: Hybrid AI Threats arxiv.org
Jul 2025 paper showing how prompt injections now combine with XSS, CSRF, AI worm propagation, and multi-agent infections to evade traditional WAFs entirely. Evaluates Preamble's classifier, data-tagging, and RL-based defenses against these hybrid scenarios.
Prompt Injection › Articles and Blog posts: “Understanding Transformer Models (especially attention), Causes and How Do We Stop Prompt Injection.”