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Google, together with partners such as Nexus AI, has brought a chest‑X‑ray–based AI tool for tuberculosis screening from the laboratory to primary‑care settings in six countries, and has open‑sourced multimodal foundation models like MedGemma and MedSigLIP, supporting offline deployment, localized adaptation, and data sovereignty.
Around October 21–22, 2026, over a span of approximately 48 hours, more than a dozen high‑severity AI‑related vulnerabilities and intrusion incidents were reported worldwide, including PHP2Shell, GitLab RCE (CVSS 10), NGINX/HTTP/3 DoS, LiteLLM password theft, eMudhra CA key leakage, and Quest Diagnostics medical data exposure. State actors such as Storm‑0940 leveraged open‑source intelligent penetration‑testing frameworks like ARTEX to launch large‑scale attacks. Concurrently, AI security defense systems were rapidly being developed, encompassing formal verification, open‑source patching agents, standardization of agent capabilities, and hardware‑level optimizations.
