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AI & Enterprise

No time to respond to ultra-fast AI attacks, \'patch gap\' alarm

Growing concern is emerging over a so-called patch gap, as AI can find vulnerabilities and write attack code within hours, leaving corporate security teams with less time to fix flaws. A Google M-Trends 2026 report cites cases where attacks occur before patches are deployed. Tests of Anthropic’s Mythos preview also showed rapid exploit generation for Windows kernel and Firefox vulnerabilities, while experts propose new prioritisation methods for patching.

AI & Enterprise

Microsoft joins AI race with in-house models, bets on very low prices

Microsoft unveiled its in-house AI coding model, MAI-Code-1-Flash, at its annual Build developer conference in San Francisco. The model generates application and website source code from text descriptions and can be used in GitHub Copilot and Visual Studio Code. Microsoft also introduced the reasoning model MAI-Thinking-1, which it described as a mid-sized model with lower token costs. MAI-Thinking-1 will be offered in private preview through Microsoft Foundry.

AI & Enterprise

GitHub Copilot fully implements token-based billing as users complain monthly limits shrink fast

GitHub Copilot users are voicing growing complaints about a new pay-as-you-go billing system based on AI credits. Reports say monthly limits can be depleted quickly even with typical use. Plans now include fixed monthly credit allocations, with credits deducted by actual usage and model pricing. Some users say converted costs would rise to thousands of dollars. Others say changing usage habits can reduce spending, while model-to-model cost gaps add to uncertainty.