Organizations Are Repeating Basic Security Mistakes in AI Systems Deployment

The post highlights that recent security flaws in AI systems (such as Google Gemini, Microsoft Copilot, or Google Cloud AI) reveal fundamental design errors, including the lack of input validation, excessive permissions, or the execution of untrusted commands. These vulnerabilities, comparable to issues resolved decades ago in cybersecurity, are framed as architectural failures rather than sophisticated attacks. Organizations are rushing to deploy these systems while ignoring core principles like the principle of least privilege or defense in depth.