Goran Štimac AI-Generated Infrastructure Code: The 2026 Governance Gap
DevOps teams using AI to write Terraform and Kubernetes config face a hard truth: only 55% of AI-generated code is secure. Here's what platform teams must do about it.
Tag
#AI security
4 matching blog articles with repeat coverage under this topic.
Tag wiki
#AI security is a AI system or workflow topic used directly in these articles.
Definition
AI security is a AI system or workflow topic referenced directly in these articles, usually as a concrete tool, platform, or implementation detail rather than a broad subject category.
Why it matters
AI security matters when model behavior, retrieval, orchestration, evaluation, or production AI workflows are part of the work.
In this archive
In this archive AI security is treated as a specific topic worth calling out when it materially shapes the implementation, stack, or workflow being discussed. It currently appears in 4 articles and crosses 3 categories.
Nearest categories
Updates & Announcements , Infrastructure & DevOps , Security & Privacy
Reference
Often appears with
Harness Launches Agent DLC — CI/CD for AI Agents
Harness Agent DLC brings eval gates, deployment governance, security scanning, and tracing for AI agents into existing CI/CD pipelines — addressing the production gap where 92% of agentic AI pilots still aren't shipping to production.
Azure DevOps MCP Flaw Lets Hidden PR Comments Hijack AI Agents — What Teams Need to Know
A confused-deputy vulnerability in Microsoft's Azure DevOps MCP server lets attackers use invisible HTML comments in pull requests to hijack AI coding agents for cross-project data theft. No fix released as of July 22, 2026.
Securing AI Agents Against Prompt Injection — IBM Technology
A production-tested guide to prompt injection defense — covering the IBM Technology video breakdown, why sanitization fails, defense-in-depth strategies, and the checklist every AI agent deployment needs.