Introduction to Prompt Injection Vulnerabilities

In this course, we enter the space of Prompt Injection Attacks, a critical concern for businesses utilizing Large Language Model systems in their AI applications. By exploring practical examples and real-world implications, such as potential data breaches, system malfunctions, and compromised user interactions, you will grasp the mechanics of these attacks and their potential impact on AI systems. As businesses increasingly rely on AI applications, understanding and mitigating Prompt Injection Attacks is essential for safeguarding data and ensuring operational continuity. This course empowers you to recognize vulnerabilities, assess risks, and implement effective countermeasures. This course is for anyone who wants to learn about Large Language Models and their susceptibility to attacks, such as AI Developers, Cybersecurity Professionals, Web Application Security Analysts, AI Enthusiasts. Learners should have knowledge of computers and their usage as part of a network, as well as familiarity with fundamental cybersecurity concepts, and proficiency in using command-line interfaces (CLI). Prior experience with programming languages (Python, JavaScript, etc.) is beneficial but not mandatory. By the end of this course, you will be equipped with actionable insights and strategies to protect your organization's AI systems from the ever-evolving threat landscape, making you an asset in today's AI-driven business environment.

• Introduction to Prompt Injection Vulnerabilities (Introduction to Prompt Injection Attacks)
• In this course, we enter the space of Prompt Injection Attacks, a critical concern for businesses utilizing Large Language Model systems in their AI applications. By exploring practical examples and real-world implications, such as potential data breaches, system malfunctions, and compromised user interactions, you will grasp the mechanics of these attacks and their potential impact on AI systems.