A group of 26 former Meta employees has filed a federal lawsuit alleging the company used automated systems to identify workers for a massive workforce reduction. The plaintiffs claim that Meta relied on a suite of internal AI tools and productivity metrics to generate a termination list for a layoff affecting 10% of its staff. This legal action marks one of the first significant challenges against a major technology firm for using algorithmic decision-making in human resources.

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Fortinet has updated its FortiEndpoint platform to include specialized visibility and control features for managing artificial intelligence applications. The solution centralizes the monitoring of AI agents and browser-based services to help security teams identify "shadow AI" and unsanctioned tools. These enhancements allow organizations to track adoption trends and user activity across managed endpoints through a single unified dashboard.

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Anthropic has introduced a new "reflect" feature for its Claude chatbot that provides users with a detailed analysis of their interaction data. This dashboard allows individuals to review their usage patterns over various timeframes, ranging from one month to a full year. The tool identifies key topics, common task delegations, and peak usage times to help users understand how they utilize the AI collaborator.

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The U.S. Department of Justice recently utilized Microsoft Windows telemetry to track and arrest a suspected member of the Scattered Spider ransomware group. Investigators linked the suspect to criminal activity by leveraging the Global Device Identifier (GDID), a persistent ID designed to uniquely identify a Windows installation. This identifier allows Microsoft to track specific devices across various services and scenarios, including virtual machines and physical hardware.

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Amazon CloudWatch Application Signals now includes a dynamic instrumentation feature that captures runtime state from live applications. This capability allows for the inspection of method arguments, return values, and stack traces at specific code locations without requiring a service restart. By eliminating the need for manual logging statements and redeployments, it streamlines the investigation of production issues that are difficult to replicate in local environments.

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