
Your AI Agent Is One Prompt Away From Disaster
Your agent has access to your email, your database, and your deployment pipeline. Now imagine someone figures out how to make it do whatever they want. This is not a hypothetical scenario. AI agent security is the most overlooked gap in the agent-building space right now. Every tutorial shows you how to connect tools, manage memory, and orchestrate multi-agent workflows. Almost none of them show you how to stop a malicious input from turning your helpful assistant into an attack vector. In February 2026, a prompt injection payload hidden in a GitHub issue title led to an npm supply chain compromise that infected roughly 4,000 developer machines. The attack exploited an AI coding agent that read untrusted input and followed its instructions. OWASP now ranks prompt injection as the number one LLM security risk. And as agents gain more tools and autonomy, the blast radius grows. This article covers five production security patterns that protect your AI agents from the threats that actuall
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