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Curated links from external sources — not 360Softy original articles.

ExternalCybersecurity
Microsoft Security Blog

​​​​What’s new in Microsoft Security: July 2026

This month’s updates help security and IT teams secure their AI environments, use AI to defend, and strengthen the foundations that AI-powered operations depend on. The post ​​​​What’s new in Microsoft Security: July 2026 appeared first on Microsoft Security Blog.

In the LoopMicrosoft Agent 365
Microsoft Security BlogRead original
ExternalCloud
Google Cloud Blog

Do more with less: How GKE can reduce your cost per agent by 75%

In today’s agentic era, modern cloud applications are evolving from a set of passive tools to fleets of autonomous digital workers that reason, plan, and take action across a wide range of tasks.  For platform engineering teams designing these environments, the simplest approach is often to deploy an agent on to an open-source framework like OpenClaw and Hermes running on  a virtual machine (VM). But as those workloads move into production and scale to support additional users or use cases, team

AI & Machine LearningGKEContainers & Kubernetes
Google Cloud BlogRead original
ExternalCloud
Google Cloud Blog

AlloyDB adds group authentication to secure enterprise scale and AI agents

Database security traditionally relies on a fragile balance between the granular control developers need and the administrative overhead of managing thousands of individual database passwords. Between managing AI agent access, rotating static credentials, handling employee on-boarding and off-boarding, and auditing access logs, passwords remain an operational tax — and a potential security vulnerability.  At Google Cloud, our goal is to help make database access transparent, secure, and password

Security & IdentityDatabases
Google Cloud BlogRead original
ExternalAI
NVIDIA Technical Blog

NVIDIA Exemplar Cloud: Lessons for Unlocking Full Performance on AI Infrastructure

Two AI computing clusters built from identical NVIDIA H100, GB200 NVL72, or GB300 NVL72 systems can deliver materially different training throughput. We... Two AI computing clusters built from identical NVIDIA H100, GB200 NVL72, or GB300 NVL72 systems can deliver materially different training throughput. We routinely see 8% to 12% gaps between partner deployments and the corresponding NVIDIA reference architecture (RA) on the same workload, same model, same global batch size. The cause is often

NVIDIA Technical BlogRead original
ExternalAI
AWS Machine Learning Blog

Migrate your prompts to new models and optimize them on Amazon Bedrock

Amazon Bedrock Advanced Prompt Optimization optimizes your prompts for up to 5 models at once and compares original versus optimized performance across quality, latency, and cost. Migrate to a new model or improve your current one in minutes instead of weeks.

Amazon BedrockIntermediate (200)Technical How-to
AWS Machine Learning BlogRead original
ExternalCybersecurity
SecurityWeek

Timeless Compliance: Why Better Questions Beat Bigger Frameworks

The best compliance programs aren't the biggest ones. They're the ones built on a short list of questions that can actually be answered, and that still hold true when the models change. The post Timeless Compliance: Why Better Questions Beat Bigger Frameworks appeared first on SecurityWeek.

Artificial IntelligenceComplianceAI
SecurityWeekRead original

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