An misconfigured Vibetech database exposed 13.7 million records from previous breaches, including AT&T, Casio and FBI data, passwords and bank details.
Built on Qwen3.5-2B, the System One model executes sub-31ms local inference, allowing enterprises to run automated classifications quickly, at low cost and completely offline without transmitting sensitive data to third-party cloud servers.
Check Point Research found two LiteLLM vulnerabilities that could let low-privilege users execute code, access sensitive files, hijack admin accounts, and steal AI provider API keys.