Xerocon 2026: AI Security Risks & Data Leaks Explained

Using AI tools carries significant security risks, especially with client data. A major concern is that share links for AI conversations create public, searchable web pages. This means information you think is private can become publicly accessible and indexed by search engines. What's more, even encrypted AI conversation packets can be decrypted by other AI models. This creates a large security vulnerability, particularly as many users input sensitive data like names, addresses, or social security numbers into generative AI without realizing where that data ultimately goes. This is not just a theoretical problem; sensitive corporate information from major companies has already become publicly searchable due to these kinds of AI data leaks. Even if your own AI tools are secure, the security of integrated third-party tools can also be a weak point. The bottom line is that understanding these risks is crucial to protecting sensitive information in the age of AI.