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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>Google Adopts Pyrefly for Faster, More Accurate Python Type Checking</title>
      <link>https://www.infoq.com/news/2026/10/google-pyrefly-python/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/google-pyrefly-python/en/headerimage/qodana-php-taint-analysis-1792333929462.jpeg"/&gt;&lt;p&gt;Google has replaced its long-standing Python type checker, Pytype, with Pyrefly, an open-source tool originally developed by Meta. The decision was driven by Pyrefly's advantages, including faster and more accurate type checking, and lower infrastructure costs.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Static Analysis</category>
      <category>Cloud</category>
      <category>System Programming</category>
      <category>Python</category>
      <category>Google</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sun, 18 Oct 2026 15:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/google-pyrefly-python/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-10-18T15:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/google-pyrefly-python/en</dc:identifier>
    </item>
    <item>
      <title>AWS Introduces Preview of Well-Architected Agent</title>
      <link>https://www.infoq.com/news/2026/10/aws-well-architected-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/aws-well-architected-agent/en/headerimage/generatedHeaderImage-1791124477134.jpg"/&gt;&lt;p&gt;AWS recently announced the preview of the Well-Architected Agent, a service that analyzes environments against Well-Architected best practices and provides prioritized recommendations across cost, security, performance, and reliability. The AI agent can also suggest remediation steps and review infrastructure-as-code before deployment.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Cost Optimization</category>
      <category>Agents</category>
      <category>Cloud</category>
      <category>Infrastructure Optimisation</category>
      <category>AWS</category>
      <category>Best Practices</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Sun, 18 Oct 2026 14:29:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/aws-well-architected-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-10-18T14:29:00Z</dc:date>
      <dc:identifier>/news/2026/10/aws-well-architected-agent/en</dc:identifier>
    </item>
    <item>
      <title>AWS Will Run Its European Sovereign Cloud Without the Global Backbone for Several Hours</title>
      <link>https://www.infoq.com/news/2026/10/aws-sovereign-cloud-exercise/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/aws-sovereign-cloud-exercise/en/headerimage/generatedHeaderImage-1791945895599.jpg"/&gt;&lt;p&gt;On October 24, AWS will operate its European Sovereign Cloud without a connection to the AWS Global Network backbone, with a team of EU residents and the region’s own hardware and software. AWS says neither of the two systems being severed is operation-critical, and practitioners are divided over whether the exercise answers the question customers are asking.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Sovereignty</category>
      <category>AWS</category>
      <category>Security</category>
      <category>Cloud Architecture</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Sun, 18 Oct 2026 05:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/aws-sovereign-cloud-exercise/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-10-18T05:30:00Z</dc:date>
      <dc:identifier>/news/2026/10/aws-sovereign-cloud-exercise/en</dc:identifier>
    </item>
    <item>
      <title>Reverse Engineer Anything Project Brings AI Agents to Binary Analysis</title>
      <link>https://www.infoq.com/news/2026/10/reverse-engineer-anything/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/reverse-engineer-anything/en/headerimage/generatedHeaderImage-1791736473714.jpg"/&gt;&lt;p&gt;Reverse Engineer Anything (REA) is an open-source project with over 200K GitHub stars that connects coding agents such as Claude Code and Codex to reverse-engineering tools like Ghidra, Hopper, and IDA. The project lets developers inspect compiled binaries, trace function calls, and investigate how applications implement specific features.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Static Analysis</category>
      <category>Reverse Engineering</category>
      <category>Open Source</category>
      <category>Claude</category>
      <category>Licensing</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 17 Oct 2026 06:28:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/reverse-engineer-anything/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-10-17T06:28:00Z</dc:date>
      <dc:identifier>/news/2026/10/reverse-engineer-anything/en</dc:identifier>
    </item>
    <item>
      <title>Amazon Acquires DuckLabs and Integrates DuckDB in Amazon Aurora PostgreSQL</title>
      <link>https://www.infoq.com/news/2026/10/amazon-acquires-ducklabs/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/amazon-acquires-ducklabs/en/headerimage/generatedHeaderImage-1792158812926.jpg"/&gt;&lt;p&gt;Amazon has acquired DuckLabs, the company behind the analytical database DuckDB. Co-founders Hannes Mühleisen and Mark Raasveldt will continue to lead the team under AWS. The acquisition aims to enhance the development and reach of DuckDB while maintaining its open-source status. Amazon Aurora PostgreSQL gets its first DuckDB-powered feature following the acquisition.&lt;/p&gt; &lt;i&gt;By Gianmarco Nalin&lt;/i&gt;</description>
      <category>Amazon RDS</category>
      <category>Cloud</category>
      <category>Data Analytics</category>
      <category>S3</category>
      <category>duckdb</category>
      <category>Data Lake</category>
      <category>Apache Parquet</category>
      <category>Amazon</category>
      <category>Open Source</category>
      <category>AWS</category>
      <category>Amazon Web Services</category>
      <category>Acquisitions</category>
      <category>Apache Iceberg</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Sat, 17 Oct 2026 06:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/amazon-acquires-ducklabs/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Gianmarco Nalin</dc:creator>
      <dc:date>2026-10-17T06:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/amazon-acquires-ducklabs/en</dc:identifier>
    </item>
    <item>
      <title>Google EnvHarness Enables Self-Evolving Agents to Learn in Dynamics Environments</title>
      <link>https://www.infoq.com/news/2026/10/envharness-self-evolving-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/envharness-self-evolving-agents/en/headerimage/cloudflare-writeguard-1792176346559.jpeg"/&gt;&lt;p&gt;Google researchers open sourced EnvHarness, a framework that dynamically adapts agent-training environments to an agent's weaknesses without modifying the agent, environment, or evaluation system. According to the researchers, this approach can improve both learning effectiveness and efficiency while helping agents overcome their weaknesses.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Open Source</category>
      <category>Large language models</category>
      <category>Google</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 16 Oct 2026 19:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/envharness-self-evolving-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-10-16T19:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/envharness-self-evolving-agents/en</dc:identifier>
    </item>
    <item>
      <title>Zod Brings In-Process Schema Compilation and a 9x Cut in Memory Footprint</title>
      <link>https://www.infoq.com/news/2026/10/zod-schema-compliation/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/zod-schema-compliation/en/headerimage/generatedHeaderImage-1792163115814.jpg"/&gt;&lt;p&gt;Zod is a TypeScript-focused schema validation library that recently released versions 4.5 and 4.6. Key updates include schema compilation for faster data parsing, significant memory usage reductions, and new validation features. The library supports efficient validation processes and remains popular in the JavaScript ecosystem, achieving millions of downloads weekly.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>JavaScript</category>
      <category>TypeScript</category>
      <category>Validation</category>
      <category>Web Development</category>
      <category>Memory</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 16 Oct 2026 15:22:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/zod-schema-compliation/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Daniel Curtis</dc:creator>
      <dc:date>2026-10-16T15:22:00Z</dc:date>
      <dc:identifier>/news/2026/10/zod-schema-compliation/en</dc:identifier>
    </item>
    <item>
      <title>Uber Automates Dependency Analysis Across Its Service Mesh</title>
      <link>https://www.infoq.com/news/2026/10/uber-automated-dependency/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/uber-automated-dependency/en/headerimage/generatedHeaderImage-1791060253143.jpg"/&gt;&lt;p&gt;Uber has developed an automated dependency analysis system that uses RPC middleware and production metrics to correlate caller and downstream failures. The approach classifies dependencies as fail-close, fail-open, or unknown and addresses limitations of sampled distributed tracing for rare failures across Uber’s large service mesh.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Middleware</category>
      <category>Failure</category>
      <category>Dependency Management</category>
      <category>OpenTelemetry</category>
      <category>Middleware management</category>
      <category>Microservices</category>
      <category>Reliability</category>
      <category>Observability</category>
      <category>Distributed Tracing</category>
      <category>RPC</category>
      <category>Service Mesh</category>
      <category>Service Reliability</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 16 Oct 2026 14:39:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/uber-automated-dependency/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-10-16T14:39:00Z</dc:date>
      <dc:identifier>/news/2026/10/uber-automated-dependency/en</dc:identifier>
    </item>
    <item>
      <title>AI in Production: Panellists Highlight Silent Failures, Harness Engineering, and Agent Governance</title>
      <link>https://www.infoq.com/news/2026/10/ai-systems-production/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/ai-systems-production/en/headerimage/generatedHeaderImage-1792118181680.jpg"/&gt;&lt;p&gt;A recent InfoQ webinar examined operational challenges in deploying agentic systems. Key points included issues like semantic and embedding drift, which can lead to significant errors. Experts discussed the need for automated code reviews, continuous evaluation of models, and enhanced privacy measures. The session emphasised a strategic approach to deployment and security management.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Continuous Integration</category>
      <category>Data Privacy</category>
      <category>Large language models</category>
      <category>Data Pipelines</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 16 Oct 2026 14:14:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/ai-systems-production/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-10-16T14:14:00Z</dc:date>
      <dc:identifier>/news/2026/10/ai-systems-production/en</dc:identifier>
    </item>
    <item>
      <title>Grafana Applies SLOs and Error Budgets to AI Agent Behaviour</title>
      <link>https://www.infoq.com/news/2026/10/grafana-slo-ai-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/grafana-slo-ai-agent/en/headerimage/generatedHeaderImage-1791475262295.jpg"/&gt;&lt;p&gt;Grafana Labs is proposing a familiar reliability engineering approach for one of the less familiar problems in modern software: how to measure whether an AI agent is actually behaving well.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>AI Development</category>
      <category>Observability</category>
      <category>Grafana</category>
      <category>AIOps</category>
      <category>Agentic AI Architecture</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 16 Oct 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/grafana-slo-ai-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Craig Risi</dc:creator>
      <dc:date>2026-10-16T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/grafana-slo-ai-agent/en</dc:identifier>
    </item>
    <item>
      <title>Mini book: Evolutionary Architecture in Practice</title>
      <link>https://www.infoq.com/minibooks/evolutionary-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/minibooks/evolutionary-architecture/en/smallimage/thumb-1791282847807.jpg"/&gt;&lt;p&gt;Discover how to keep software evolvable as systems, technology, and teams shift. This edition explores agentic fitness functions for semantic drift, treating human comprehension as a core design metric, cross-cloud guardrails for regional autonomy, and aligning technical boundaries with Conway’s Law. Move beyond static diagrams to continuous feedback systems that keep change safe and intentional.&lt;/p&gt; &lt;i&gt;By InfoQ&lt;/i&gt;</description>
      <category>Leadership</category>
      <category>InfoQ Certification Program</category>
      <category>Evolutionary Architecture</category>
      <category>Architecture ICSAET</category>
      <category>Domain Driven Design</category>
      <category>Platform Engineering</category>
      <category>Agentic AI Architecture</category>
      <category>Sociotechnical Architecture</category>
      <category>Distributed Systems</category>
      <category>Artificial Intelligence</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>minibook</category>
      <pubDate>Fri, 16 Oct 2026 11:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/minibooks/evolutionary-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>InfoQ</dc:creator>
      <dc:date>2026-10-16T11:30:00Z</dc:date>
      <dc:identifier>/minibooks/evolutionary-architecture/en</dc:identifier>
    </item>
    <item>
      <title>Helidon 27 Introduces Restructured Programming Models and New Messaging and Data Modules</title>
      <link>https://www.infoq.com/news/2026/10/helidon-27-released/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/helidon-27-released/en/headerimage/java-istock-image-01-1792149493797.jpg"/&gt;&lt;p&gt;The release of Helidon 27 is the first release that follows the Oracle Tip &amp; Tail Model of Library Development by which the Tip adopts the latest Java technology while the Tail provides a more stable and secure baseline. Concurrent with the release of JDK 27, new features in Helidon 27 include: an introduction to new major modules, Helidon Messaging and Helidon Data JDBC.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>Helidon Nima</category>
      <category>Helidon</category>
      <category>Java</category>
      <category>Java Verified Portfolio</category>
      <category>Open JDK</category>
      <category>JDK 27</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Fri, 16 Oct 2026 11:20:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/helidon-27-released/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Michael Redlich</dc:creator>
      <dc:date>2026-10-16T11:20:00Z</dc:date>
      <dc:identifier>/news/2026/10/helidon-27-released/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Exploding GPUs</title>
      <link>https://www.infoq.com/presentations/ai-security-kubernetes-gpu-threats/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/presentations/ai-security-kubernetes-gpu-threats/en/mediumimage/andrew-martin-medium-1790846331295.jpeg"/&gt;&lt;p&gt;Andrew Martin discusses why AI security is fundamentally tied to Kubernetes security. He shares insights into the evolving AI threat landscape, covering non-deterministic agent behavior, GPU supply chain vulnerabilities, shared compute risks, and practical defense strategies - from prompt firewalling to agentic identity - to help secure cloud-native AI workloads in production environments.&lt;/p&gt; &lt;i&gt;By Andrew Martin&lt;/i&gt;</description>
      <category>Agents</category>
      <category>AI Security</category>
      <category>Kubernetes</category>
      <category>Containers</category>
      <category>Cloud-Native</category>
      <category>QCon London 2026</category>
      <category>Transcripts</category>
      <category>GPU</category>
      <category>Infrastructure</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Fri, 16 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-security-kubernetes-gpu-threats/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Andrew Martin</dc:creator>
      <dc:date>2026-10-16T11:00:00Z</dc:date>
      <dc:identifier>/presentations/ai-security-kubernetes-gpu-threats/en</dc:identifier>
    </item>
    <item>
      <title>AWS Introduces Strands Decider 2B and Strands Box for AI Agent Development</title>
      <link>https://www.infoq.com/news/2026/10/aws-strands-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/aws-strands-agents/en/headerimage/generatedHeaderImage-1792079603910.jpg"/&gt;&lt;p&gt;AWS has introduced two open-source projects for AI agent development: Strands Decider 2B, a small model designed to make decisions within agent workflows, and Strands Box, a sandbox for controlling agent execution. Both projects address different aspects of building agents that use tools, execute code, and interact with external systems.&lt;/p&gt; &lt;i&gt;By Daniel Dominguez&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Typesafe</category>
      <category>Large language models</category>
      <category>AWS</category>
      <category>Artificial Intelligence</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 16 Oct 2026 10:47:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/aws-strands-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Daniel Dominguez</dc:creator>
      <dc:date>2026-10-16T10:47:00Z</dc:date>
      <dc:identifier>/news/2026/10/aws-strands-agents/en</dc:identifier>
    </item>
    <item>
      <title>Article: Cryptographic Foundation of Mobile ID Systems: An ISO/IEC 18013-5 Enterprise Architecture Blueprint</title>
      <link>https://www.infoq.com/articles/enterprise-mobile-id-mdl-blueprint/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/articles/enterprise-mobile-id-mdl-blueprint/en/headerimage/enterprise-mobile-id-mdl-blueprint-header-1791967143918.jpg"/&gt;&lt;p&gt;This article provides a framework for asking the right architectural questions before an enterprise commits to an mDL provider or library. It shows which components can be abstracted safely, which trust boundaries must remain visible to the enterprise, what cryptographic and interoperability properties should be verified, and how requirements change across real-world use cases.&lt;/p&gt; &lt;i&gt;By Praveen Kumar Gopalakrishnan&lt;/i&gt;</description>
      <category>Standardization</category>
      <category>Mobile</category>
      <category>Government</category>
      <category>Regulation</category>
      <category>Digital Identity</category>
      <category>Provisioning</category>
      <category>Enterprise</category>
      <category>Mobile Privacy</category>
      <category>Interop</category>
      <category>Identity Management</category>
      <category>Access Control</category>
      <category>Authentication</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Fri, 16 Oct 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/enterprise-mobile-id-mdl-blueprint/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Praveen Kumar Gopalakrishnan</dc:creator>
      <dc:date>2026-10-16T09:00:00Z</dc:date>
      <dc:identifier>/articles/enterprise-mobile-id-mdl-blueprint/en</dc:identifier>
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