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

ExternalCloud
Cloudflare Blog

How we’re rethinking work at Cloudflare with Cloudflare OS

We built Cloudflare OS to equip our teams to safely rethink how they get work done with AI. The platform brings together the best of our technologies, from our Compute primitives to our Zero Trust suite. This post walks through our journey to give our users the best AI tools available.

Agents WeekAICloudflare OS
Cloudflare BlogRead original
ExternalCloud
Google Cloud Blog

Unlocking the future of shared storage: Filestore on Colossus

Today,  enterprise storage must be as agile, elastic, and responsive as the workloads it supports. Filestore, Google Cloud’s first-party, secure, scalable NFS file service, can service a wide-range of enterprise use cases as well as cutting-edge AI and agentic workflows. Today, we’re sharing a major enhancement: Filestore now incorporates a cloud-native backend storage layer built directly on Colossus, Google’s foundational distributed storage system. Leveraging Colossus, Filestore can deliver e

Storage & Data Transfer
Google Cloud BlogRead original
ExternalDevOps
Docker Blog

Governance Is a Developer Experience Problem

Learn why AI governance is about more than security. Discover how trust, clear boundaries, and developer experience enable AI adoption at scale.

CommunityAI AgentDocker AI Governance
Docker BlogRead original
ExternalCloud
Cloudflare Blog

WriteGuard: fine-grained controls for MCP Servers

At Cloudflare, we knew we could not depend on every employee to configure every agent perfectly or watch every tool call. Before expanding write access across our own internal MCP servers, we built WriteGuard. We are now bringing those controls to Cloudflare MCP server portals through a private beta.

AgentsAgents WeekCloudflare One
Cloudflare BlogRead original
ExternalSoftware Engineering
DZone

Securing AI Agents at the API Layer: 5 Controls That Actually Matter

Most API security programs were built for predictable consumers: mobile apps, backend services, partner integrations, and the occasional script. Each of those calls your APIs in fairly bounded ways. AI agents do not fit that model. An agent does not just call an API. It decides which APIs to call, in what order, and often keeps going until it reaches a result. That autonomy is the point of using an agent, but it is also what makes it dangerous: a single misconfigured agent can generate thousands

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