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Posted on • Originally published at aitechconnect.in

Defend AI Agents Against Prompt Injection: A Layered Playbook

Originally published on AI Tech Connect.

What you need to know If your agent reads external content and can also take actions in the world — send email, move money, call an API, delete a row, open a pull request — then prompt injection is not an edge case you can defer. It is the thing most likely to turn a helpful assistant into a liability. The OWASP Top 10 for Large Language Model Applications has listed prompt injection as LLM01, the number-one risk, across both its editions, and the 2025 edition keeps it in the top spot. The reason is structural rather than a bug you can patch: language models read instructions and data through the same channel, so a cleverly worded piece of data can be interpreted as a command. There is no single fix. Filters, delimiters, guard models and system-prompt hardening each help, but each can be…


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