{"id":18789,"name":"CyberGuard AI","purpose":"An AI-powered security audit platform specifically designed to identify and mitigate vulnerabilities related to prompt injection and other AI security risks.  Utilizing techniques similar to those described in the article about the professor discovering AI cheating, the app will analyze text inputs and outputs for potential malicious prompts, aiding companies in safeguarding against AI-driven attacks.","profitable":1,"date_generated":"Monday July 2026 18:32","reference":"cyberguard-ai-project","technology_advise":["Python","PostgreSQL","Medium"],"development_time_estimation_mvp_in_hours":120,"grade":8.1,"category":"security","view_count":4,"similar_ideas":[{"id":6514,"name":"CyberGuard AI","grade":7.2,"category":"security"},{"id":8796,"name":"SafeGuard AI","grade":8.2,"category":"security"},{"id":4372,"name":"AI-SecGuard","grade":8.2,"category":null},{"id":12694,"name":"CyberGuardian AI","grade":8.2,"category":"security"},{"id":8916,"name":"RiskGuard AI","grade":7.8,"category":"security"}],"source_headline":"Professor discovers AI cheating with 'invisible prompt trap'"}