Dev Team Releases Pre-Shipment Security Checklist for LLM Integrations

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A software development team has published a practical pre-shipment checklist for auditing large language model (LLM) features before client delivery. The guide highlights key risks unique to LLM systems, including prompt injection, data exfiltration via system prompts, and unsafe output rendering. Unlike traditional software, LLM attack surfaces include natural language, meaning adversaries need only craft a sentence rather than exploit an API schema. The checklist includes reusable Python probe scripts to test whether a system leaks its system prompt or complies with override attempts. Developers are advised to remove sensitive data from system prompts and harden instructions based on probe results before any client handoff.

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ProgrammingDEV Community ·

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