Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
Prompt-injection-defensesgithub.com · Low evidencePrompt Injection Defenses is a repository that centralizes and summarizes practical defenses against prompt injection attacks on large language models. It provides recommendations such as limiting blast radius, input preprocessing, and treating all LLM outputs as potentially malicious.
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