A security scan of 1 million exposed AI services revealed widespread vulnerabilities and misconfigurations, with many instances running without authentication by default, leaving sensitive data and business logic openly accessible online. This insecure deployment, driven by the rapid adoption of AI technologies and pressure to deliver quickly, poses significant risks including data exposure, unauthorized access, and potential code execution, highlighting how AI infrastructure security is lagging dangerously behind its growth.
https://thehackernews.com/2026/05/we-scanned-1-million-exposed-ai.html