Security testing reveals all 11 major AI frameworks fail basic safety checks, raising concerns about production deployment readiness

Researcher tested 11 different AI frameworks against fundamental security requirements and found zero passed comprehensive evaluation

Testing included evaluation of prompt injection vulnerabilities, data exposure risks, and other baseline security measures

Results suggest significant gaps between current AI framework capabilities and security standards needed for safe real-world deployment

Findings highlight urgent need for improved security practices across popular AI development platforms before widespread adoption