xAI has introduced Build Mode, a new feature that lets Grok users create websites, apps, games and interactive dashboards from a simple text description. To begin with Build Mode is available in Early Beta for SuperGrok Heavy subscribers on grok.com, iOS and Android.

Tell Grok what you want, and it writes the code and generates a working preview inside the chat. Refinements happen the same way: ask for a different layout, a new feature, or a full restyle, with no installation or configuration required and no need to touch the underlying code. Once ready, projects can be published to a grok.me link or a custom domain, making them easy to share with a team or the public.

xAI says the tool can produce a wide range of outputs, from landing pages, portfolios and business sites to working apps such as planners and calculators, arcade-style games, and dashboards that pull in live business data through connectors.

Build Mode marks xAI's push into letting non-technical users build and publish working software directly from natural language.

DevSecOps for AI: Why 90% Stays the Same—and the 10% That Changes Everything
Is your DevSecOps pipeline ready for AI—or just ready for the AI you tested last week? AI systems behave probabilistically. The same prompt injection attack can succeed 50 times in a row, then fail completely the next minute. Traditional shift-left testing was built for determinism. AI isn’t. That gap is where risk lives. Three members of Google’s security advocacy team break down what actually changes—and what doesn’t—when AI enters your DevSecOps pipeline. You’ll learn: • Why 90% of AI security is still traditional security—and exactly where the novel 10% creates new exposure • Why DevSecOps transformations fail within a year—and the top-down cultural shift that prevents it • How the latest DORA research shows AI agents amplify existing practices, good or bad, at scale • What AI runtime security (e.g., Model Armor) does that a WAF cannot • Why AI logs capturing PII and system instructions in plain text demand a new approach to observability Key topics: Non-determinism in AI testing • Continuous evaluation vs. pre-deployment scans • Model Armor & runtime security layers • Sensitive data redaction in logs • Prompt injection defense-in-depth • Agentic workload security • WAF limitations with AI agents • DevSecOps governance & top-down culture For CISOs, DevSecOps leads, and security architects navigating AI adoption: the pipeline you spent three years building is mostly still valid. This session tells you exactly what to add. All viewers will receive a c’heat sheet’ compiling links galore courtesy of Aron Eidelman.
BrightTALK

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