What Is Prompt Injection? A Technical Explainer on AI's Most Pervasive Security Flaw

Unite.AI has published a comprehensive explainer on prompt injection, the attack vector where malicious instructions embedded in user input or external data override an AI system's intended behavior. As LLM-powered agents increasingly interact with untrusted content — web pages, documents, emails, API responses — prompt injection has become one of the most practically dangerous vulnerabilities in deployed AI systems. The article covers direct and indirect injection variants, with examples relevant to developers building retrieval-augmented generation (RAG) pipelines, tool-using agents, and customer-facing chatbots. For engineers shipping production AI systems, understanding prompt injection is now table stakes: a single unsanitized input path can allow attackers to exfiltrate data, manipulate agent behavior, or bypass safety controls entirely. This is a timely read alongside Google's Gemini red-team disclosure and reinforces the need for input validation and privilege separation in agentic architectures.