New data loss prevention capabilities for file attachments and proximity conditions are generally available

Data loss prevention (DLP) rules for non-Workspace file attachments and associated proximity conditions are now generally available. These new capabilities enable organizations to target files with specific parameters, such as blocking the sharing of sensitive file formats or identifying files that contain specific strings in their titles. Using these new content conditions, admins can set

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Data loss prevention policies for Google Calendar now available in GA

Data loss prevention (DLP) for Google Calendar is now generally available to protect sensitive information shared within event details. Previously available in beta, this feature allows you to create and apply data protection rules that scan calendar event titles, descriptions, and locations for sensitive content, such as credit card numbers or national identification numbers. Key

Data loss prevention policies for Google Calendar now available in GA Lire l’article »

Bringing Gemma 4 12B to your Laptop: Unlocking Local, Agentic Workflows with Google AI Edge

Google DeepMind’s Gemma 4 12B model brings agentic, multimodal AI capabilities to everyday laptops with 16GB of RAM, enabling local data processing and visual insight generation. Users can leverage this model on macOS through the Google AI Edge Gallery for dynamic Python code execution and visualization, as well as via Google AI Edge Eloquent for

Bringing Gemma 4 12B to your Laptop: Unlocking Local, Agentic Workflows with Google AI Edge Lire l’article »

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