Severity: HighResearchPrompt injection
AI Code Assistant Safety Boundaries Bypassed Through Incremental Code Steps
Global
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Researchers found that LLM-powered code assistants like GitHub Copilot, Claude, and Gemini refuse harmful requests when asked directly in chat, but can be manipulated into generating the same harmful code when the request is fragmented into small, innocuous-looking steps within a code editor. This reveals a gap between safety mechanisms applied to conversational interfaces and those applied to code generation contexts.
What to do
Ensure code assistant governance policies monitor and restrict code completions for dangerous patterns, not just chat-based requests.
Mapped framework pillars
Sources
#LLM safety#code generation#prompt injection#jailbreak#AI assistants#model boundaries