{"id":7648,"name":"PromptShield","purpose":"A proactive prompt security auditing and hardening tool that, like Anthropic's approach, continuously tests LLM prompts for vulnerability to injection attacks, guidance on mitigation, and enforcement of parameters to improve model reliability.","profitable":1,"date_generated":"Wednesday February 2026 22:59","reference":"project-promptshield","technology_advise":["Python","SQLite","Medium"],"development_time_estimation_mvp_in_hours":120,"grade":7.5,"category":"security","view_count":42,"similar_ideas":[{"id":966,"name":"PromptShield","grade":6.5,"category":null},{"id":7784,"name":"PromptShield PDF","grade":7.2,"category":"security"},{"id":7999,"name":"PromptGuard","grade":8.2,"category":"security"},{"id":5395,"name":"Prompt Injection Sentinel","grade":7.3,"category":"security"},{"id":3349,"name":"PromptShield AI","grade":8.2,"category":null}],"source_headline":"Anthropic published prompt injection failure rates"}