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AI & Enterprise

Managing many AI agents at companies draws attention to different AWS and Google Cloud approaches

As companies put AI agents into real-world use, managing large numbers of agents is emerging as an issue. Amazon Web Services and Google are drawing attention with different approaches. Google focuses on managing agents at the system layer through a centralized control environment. AWS uses a harness approach in which developers predefine an agent’s role, model and tools, and the system runs the agent within that framework to speed experimentation and deployment.

AI & Enterprise

Security hot issue: N2SF rollout nears as security buzz rises; countries scramble to respond to Mythos

With South Korea set to implement the National Cybersecurity Basic Guidelines in May and introduce the N2SF framework, security companies are accelerating efforts to target expected demand for related solutions. The guidelines include data controls based on classification levels, minimum security budget and staffing ratios, mandatory multi-factor authentication and new measures for AI systems and private cloud security. Interest is also rising in Anthropic’s Mythos AI model, prompting governments and companies to prepare responses.

AI & Enterprise

Wiz under Google evolves into security graph-based multi-cloud security platform

Google Cloud-linked security company Wiz confirmed a direction to position itself as a core player in multi-cloud security at the Cloud Next 2026 event, Techzine reported. Wiz highlighted an expansion of the Wiz Security Graph, adding support for Databricks and agent studio platforms including AWS AgentCore, Gemini Enterprise, Microsoft Azure Copilot Studio and Salesforce Agentforce. It also integrated with Cloudflare, Akamai, Vercel and Google Cloud Apigee.