InfoQ - Articles

Article: Securing Autonomous AI Agents on Kubernetes: Trust Boundaries, Secrets, and Observability for a New Category of Cloud Workload

Nik Kale — Fri, 01 May 2026 09:00:00 GMT

Autonomous AI agents break Kubernetes security assumptions with dynamic dependencies, multi-domain credentials, and unpredictable resource use. This article covers production-tested patterns: Job-based isolation, Vault for scoped short-lived credentials, a four-phase trust model from shadow mode to autonomous operation, and observability for non-deterministic reasoning cycles.

By Nik Kale

Article: The DPoP Storage Paradox: Why Browser-Based Proof-of-Possession Remains an Unsolved Problem

Dhruv Agnihotri — Thu, 30 Apr 2026 09:00:00 GMT

DPoP closes a real gap in OAuth 2.0. Sender-constrained tokens are a meaningful upgrade over bearer tokens for any client that can implement them. But RFC 9449's silence on browser key storage creates the need for an architectural decision that each team must confront deliberately — there is no safe default that works everywhere.

By Dhruv Agnihotri

Article: CodeGuardian: A Model Context Protocol Server for AI-Assisted Code Quality Analysis and Security Scanning

Madhvesh Kumar, Deepika Singh — Tue, 28 Apr 2026 09:00:00 GMT

CodeGuardian is an MCP server that extends AI coding assistants with comprehensive code quality and security analysis capabilities. By implementing eleven specialized tools, CodeGuardian enables developers to access enterprise-grade analysis directly through their AI assistant, eliminating context-switching and reducing friction in adopting secure coding practices.

By Madhvesh Kumar, Deepika Singh

Article: MCP in the Java World: Bringing Architectural Strategy to LLM Integrations

Matteo Rossi — Mon, 27 Apr 2026 11:00:00 GMT

Discover how the Model Context Protocol (MCP) Java SDK is establishing a new architectural discipline for enterprise LLM integrations. By defining explicit contracts and leveraging MCP servers as anti-corruption layers, it ensures governance, loose coupling, and security alignment with the JVM ecosystem and existing operational practices, moving integrations beyond fragility to resilience.

By Matteo Rossi

Article: Orchestrating Agentic and Multimodal AI Pipelines with Apache Camel

Vignesh Durai — Fri, 24 Apr 2026 09:00:00 GMT

In this article, author Vignesh Durai discusses how agentic and multimodal AI systems can be engineered using Apache Camel and LangChain4j technologies. The key components in the solution include LLM-based reasoning, retrieval-augmented generation (RAG), and image classification.

By Vignesh Durai