[{"data":1,"prerenderedAt":95},["ShallowReactive",2],{"blog-teaser-en":3},[4,18,32,46,58,70,83],{"slug":5,"lang":6,"title":7,"description":8,"heading":7,"translationKey":9,"date":10,"keywords":11,"readingMinutes":17},"ai-agent-audit-trail-eu-ai-act","en","AI agent audit trail: what to log under the EU AI Act","What an audit trail for AI agents should record, why the AI vendor's own log is not independent evidence, and how the EU AI Act and GDPR frame it.","audit-trail","2026-09-18",[12,13,14,15,16],"AI agent audit trail","EU AI Act logging","AI agent audit log","EU AI Act record-keeping","AI governance audit",8,{"slug":19,"lang":6,"title":20,"description":21,"heading":22,"translationKey":23,"date":24,"keywords":25,"readingMinutes":31},"ai-agents-databricks-data-access","AI Agents and Databricks: Table and Column Access Control","How to give AI agents read access to Databricks without exposing personal data: structured queries, table and column allowlists, value masking.","AI agents and Databricks: access control for tables and columns","databricks-data-access","2026-09-04",[26,27,28,29,30],"AI agent Databricks access control","Databricks AI agent","column level access AI agent","PII masking AI","Databricks MCP",6,{"slug":33,"lang":6,"title":34,"description":35,"heading":36,"translationKey":37,"date":38,"keywords":39,"readingMinutes":45},"ai-documentation-confluence-azure-devops-wiki","AI Documentation in Confluence and the Azure DevOps Wiki","How AI agents can keep Confluence and Azure DevOps wiki pages current, and which controls stop them from editing spaces and pages they should not touch.","AI documentation in Confluence and the Azure DevOps wiki","docs-confluence-wiki","2026-08-21",[40,41,42,43,44],"AI documentation Confluence","AI agent Confluence","Azure DevOps wiki AI","documentation automation","Confluence MCP",7,{"slug":47,"lang":6,"title":48,"description":49,"heading":48,"translationKey":50,"date":51,"keywords":52,"readingMinutes":31},"ai-code-review-permissions-github-azure-devops","AI code review: permissions on GitHub and Azure DevOps","Which permissions an AI code review agent needs on GitHub and Azure DevOps, why approve and merge are separate risks, and how to scope repos and branches.","code-review-permissions","2026-08-07",[53,54,55,56,57],"AI code review permissions","AI code review GitHub","Azure DevOps AI pull request review","least privilege AI agent","GitHub MCP permissions",{"slug":59,"lang":6,"title":60,"description":61,"heading":60,"translationKey":62,"date":63,"keywords":64,"readingMinutes":45},"ai-agent-jira-sprint-planning","AI agent for Jira sprint planning: access without risk","How an AI agent can groom the Jira backlog and prepare sprints, which permissions it really needs, and how to limit it to one project and board.","jira-sprint-planning","2026-07-24",[65,66,67,68,69],"AI agent Jira sprint planning","Jira MCP","AI backlog grooming","Jira AI agent permissions","Jira MCP server security",{"slug":71,"lang":6,"title":72,"description":73,"heading":74,"translationKey":75,"date":76,"keywords":77,"readingMinutes":45},"what-is-an-mcp-gateway","What Is an MCP Gateway and When Do You Need One?","An MCP gateway sits between AI agents and tools like Jira. What it checks on every call, how it differs from direct MCP servers, and when to use one.","What is an MCP gateway, and when does a team need one?","mcp-gateway","2026-07-10",[78,79,80,81,82],"MCP gateway","what is an MCP gateway","MCP server security","Model Context Protocol gateway","self-hosted MCP gateway",{"slug":84,"lang":6,"title":85,"description":86,"heading":87,"translationKey":88,"date":89,"keywords":90,"readingMinutes":45},"ai-agents-software-development-lifecycle","AI Agents in the Software Development Lifecycle","Where AI agents help in planning, documentation, code review, data and communication, and which controls each stage of the software lifecycle needs.","AI agents in the software development lifecycle: where they help and where control is needed","sdlc-pillar","2026-06-26",[91,92,93,94,78],"AI agents in the software development lifecycle","AI in software development","agentic SDLC","AI agent governance",1790588072507]