Cloud Computing

RSAC ’26: Supercharging agentic AI defense with frontline threat intelligence

aside_block <ListValue: [StructValue([(‘title’, ‘Our news today from RSA Conference’), (‘body’, <wagtail.rich_text.RichText object at 0x7fb53a4ff910>), (‘btn_text’, ”), (‘href’, ”), (‘image’, None)])]> AI-driven defense is changing the cybersecurity industry in ways that defenders have long hoped for, and Google Security is bringing its most significant capabilities yet to RSA Conference. With the agentic security operations center as

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M-Trends 2026: Data, Insights, and Strategies From the Frontlines

Every year, the cyber threat landscape forces defenders to adapt to evolving adversary tactics, techniques, and procedures (TTPs). In 2025, Mandiant observed a clear divergence in adversary pacing that closely aligns with the trends we have been documenting for defenders over the past year. On one end of the spectrum, cyber criminal groups optimized for

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Transfer Manager Directory Support for AWS SDK for Ruby

Managing bulk file transfer to Amazon Simple Storage Service (Amazon S3) can be complex when transferring directories containing multiple files and subdirectories. AWS SDK for Ruby Transfer Manager (aws-sdk-s3 version 1.215) now supports directory upload and download. This feature can help streamline bulk transfers by providing multipart handling and parallelism options. Previously, uploading directories to

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AI-powered event response for Amazon EKS

Cloud environments with dozens of microservices are now easier to manage than ever, and modern DevOps teams are well-equipped to balance rapid deployments with operational stability — even as monitoring tools surface thousands of daily signals. AWS DevOps Agent is a fully managed autonomous AI Agent that resolves and proactively prevents incidents, continuously improving reliability

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Streamline read scalability with Cloud SQL autoscaling read pools

A common pattern for applications that read frequently from a database is to offload read-heavy workloads to a read replica. This allows applications to scale without impacting critical write operations on the primary database instance. However, these read-heavy workloads can easily exceed the capacity of a single read replica. While developers can manually implement multiple

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