This guide explains how prompt injection attacks work and why they’re becoming a major risk as organizations adopt AI tools. It shows how attackers can manipulate AI systems by embedding hidden instructions in prompts, tricking them into leaking sensitive data or performing unintended actions. Real-world examples—like a chatbot agreeing to sell a car for $1 or revealing hidden system prompts—highlight how easily safeguards can be bypassed. The paper also outlines the impact, from data breaches to reputational damage, and emphasizes that while these attacks can’t be fully eliminated, risks can be reduced through controls like input filtering, sandboxing, least-privilege access, and user training.

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