
A Comprehensive Guide on Prompt Injection-Part 2
Last Updated on August 28, 2025 by Editorial Team
Author(s): Renu Khandelwal
Originally published on Towards AI.
From Vulnerability to Security: Master How to Defend AI Systems Against Prompt Injection Attacks
In Part 1, you explored what Prompt Injection is and why you should know how attackers infiltrate the AI systems using Prompt Injection and the different Prompt Injection techniques used. We briefly went over the Prompr Injection defense techniques.
In this article, the author elaborates on various techniques that attackers use to execute Prompt Injection attacks and emphasizes the importance of a multi-layered security approach to safeguard AI systems. It covers defense strategies including instructional defense, input sanitization, segregation of user input, and the implementation of a human-in-the-loop oversight system. The article underlines the necessity for organizations to adopt these robust defenses to maintain the integrity and trustworthiness of their AI applications.
Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Take our 90+ lesson From Beginner to Advanced LLM Developer Certification: From choosing a project to deploying a working product this is the most comprehensive and practical LLM course out there!
Towards AI has published Building LLMs for Production—our 470+ page guide to mastering LLMs with practical projects and expert insights!

Discover Your Dream AI Career at Towards AI Jobs
Towards AI has built a jobs board tailored specifically to Machine Learning and Data Science Jobs and Skills. Our software searches for live AI jobs each hour, labels and categorises them and makes them easily searchable. Explore over 40,000 live jobs today with Towards AI Jobs!
Note: Content contains the views of the contributing authors and not Towards AI.