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Autonomous Patching for Cloud-Native Workloads

Autonomous Patching for Cloud-Native Workloads

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The cloud-native stack didn’t make security go away—it just spread it across more layers, more repos, more images, and more ...
KubeCon, cloud native, ai, cloud-native,

From Cloud First to Cloud Fit: Rethinking Where Workloads Belong

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Induprakas “Indu” Keri explores why organizations are increasingly shifting from a cloud-first mindset to a cloud-fit strategy as containerized applications ...

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Survey Surfaces More Focus on Software Security Testing and API Security

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MCP-Powered Agentic AI in DevOps: Building Secure, Scalable Multi-Agent Pipelines for Autonomous SRE and Observability 

Discover how model context protocol (MCP) powered agentic AI is transforming DevOps by enhancing resilience and efficiency in cloud-native environments. Learn about the challenges, benefits, and real-world applications of autonomous multi-agent systems. [...]

4 Security Risks of AI Code Assistants

AI coding assistants can introduce vulnerabilities, privacy risks, and dependency issues. Learn key cybersecurity practices to safely use AI in software development. [...]