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GitLab Dedicated customers can now deploy the AI Gateway for GitLab Duo Agent Platform within their single-tenant SaaS environment. This keeps AI processing aligned with the customer's selected AWS region and enables connections to Amazon Bedrock or preferred model providers.
AWS outlines enterprise patterns for operating many agentic AI systems across diverse frameworks, models, and providers. The guidance focuses on preserving flexibility and enabling multi-agent systems to scale together without vendor lock-in.
Amazon Bedrock now supports OpenAI GPT-5.6 models—Sol, Terra, and Luna—across more than 25 AWS Regions through cross-Region inference. Developers can use US geographic or global inference profiles to improve throughput and access the models through OpenAI and Converse APIs.
Amazon Bedrock AgentCore now supports Policy Authoring, which converts natural-language policy documents into Dogwood policies. The update helps teams enforce agent controls, including new time-based constraints, with worked examples and best practices.
AWS Professional Services uses a multi-agent framework on Amazon Bedrock AgentCore to automate enterprise cloud migrations end to end. Specialized agents cover discovery, infrastructure-as-code generation, portfolio governance, and post-migration operations, reducing IaC development time from weeks to minutes.
Serval has made Catalyst generally available as an administrative super agent that discovers repetitive work and builds governed enterprise automations. It can also create background agents that monitor connected systems, identify emerging issues, and suggest fixes before employees submit tickets.
Long-form audiences remain highly sensitive to visible AI flaws, making full-stack AI production risky for films and television. Industry leaders are instead adopting human-led workflows where AI supports visual effects, previsualization, cleanup, quality control, and other production bottlenecks.
GitLab 19.3 adds bulk SAST False Positive Detection and Agentic SAST Vulnerability Resolution for existing vulnerability backlogs. Teams can automatically assess findings, dismiss likely false positives, and generate ready-to-merge fixes, including for SARIF-imported third-party scanner results.
Amazon Bedrock AgentCore Web Search now supports per-request domain and publication-date filters. Developers can control which websites agents use and require fresher sources, with filtering enforced server-side.
AWS presents three serverless patterns for invoking Amazon Bedrock AgentCore agents asynchronously from AWS Step Functions. Task-token callbacks, direct service integrations, and durable functions help eliminate idle compute costs while agents process requests.