Prompt Injection is one of the most critical security risks in modern AI systems. This blog explains how Garak, an open-source AI vulnerability scanning framework, can be used to test LLM applications against Prompt Injection attacks, jailbreaks, prompt leakage, and adversarial manipulation through practical AI red teaming techniques.
AI systems introduce risks that traditional security testing cannot fully address. Unlike conventional software, AI models can be manipulated through prompts, leak sensitive data, generate unsafe outputs, or behave unpredictably. This blog explains why AI security testing requires specialized approaches covering applications, models, infrastructure, data, and overall AI trustworthiness.
AI is smart—but it’s not invincible. In this beginner-friendly guide, learn what AI security really means, how hackers are already targeting intelligent systems, and what we can do to keep our AI safe and trustworthy.
