Prompt injection in LLM applications
What happens when the content an LLM application reads tries to give it orders, and how to keep it in check: first by keeping instructions apart and guarding each step of the call, then by having a separate judge read the input before the model does.
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Part 1
Content is not an instruction: prompt injection countermeasures in Laravel AI
How a line of hidden text in a CV can steer an LLM-based screener, and the countermeasures from LLM Application Engineering that limit it: separate instructions, checks before and after the call, least privilege and approval gates.
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Part 2
Who judges the input: screening prompt injection with Laravel Judgment
Putting a separate judge in front of an LLM-based CV screener: Laravel Judgment asks Jev whether a CV contains instructions aimed at the machine, and the application decides what to do with the answer.