<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai-Security on CuraDevOps</title><link>https://curadevops.metacog.co.kr/tags/ai-security/</link><description>Recent content in Ai-Security on CuraDevOps</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 07 Aug 2026 11:39:24 +0000</lastBuildDate><atom:link href="https://curadevops.metacog.co.kr/tags/ai-security/index.xml" rel="self" type="application/rss+xml"/><item><title>Shadow AI in CI/CD: threat-modeling from dev laptop to Kubernetes</title><link>https://curadevops.metacog.co.kr/insights/2026-08-07-shadow-ai-in-ci-cd-threat-modeling-the-path-from-developer-l/</link><pubDate>Fri, 07 Aug 2026 11:39:24 +0000</pubDate><guid>https://curadevops.metacog.co.kr/insights/2026-08-07-shadow-ai-in-ci-cd-threat-modeling-the-path-from-developer-l/</guid><description>&lt;ul>
&lt;li>&lt;strong>Platform/SRE — Learn:&lt;/strong> Useful framing for understanding how unsanctioned AI tools introduce new attack surfaces into the platform layer, but no specific infrastructure action or deadline is present.&lt;/li>
&lt;li>&lt;strong>CI/CD — Learn:&lt;/strong> Directly relevant to pipeline security thinking — AI extensions and agents in the build path are an emerging supply-chain risk worth evaluating, but no concrete deprecation, compromise, or deadline anchors an Act or Plan verdict.&lt;/li>
&lt;li>&lt;strong>Leader — Plan:&lt;/strong> Shadow AI in delivery pipelines is a policy and governance gap that warrants adding AI tool usage to supply-chain standards and acceptable-use policy; schedule a review of which AI integrations teams are using in pipelines before the next security audit cycle.&lt;/li>
&lt;/ul></description></item><item><title>AWS Security Hub adds GA AI asset inventory across AWS orgs</title><link>https://curadevops.metacog.co.kr/insights/2026-07-15-aws-security-hub-now-provides-ai-inventory-for-organization/</link><pubDate>Wed, 15 Jul 2026 12:10:55 +0000</pubDate><guid>https://curadevops.metacog.co.kr/insights/2026-07-15-aws-security-hub-now-provides-ai-inventory-for-organization/</guid><description>&lt;ul>
&lt;li>&lt;strong>Platform/SRE — Plan:&lt;/strong> New GA capability that auto-discovers AI workloads (Bedrock, SageMaker, EC2, ECR) via Config, Inspector SBOM, and GuardDuty DNS telemetry — worth enabling this quarter for teams running AI workloads to close the visibility gap before it becomes a compliance issue.&lt;/li>
&lt;li>&lt;strong>CI/CD — Skip&lt;/strong>&lt;/li>
&lt;li>&lt;strong>Leader — Learn:&lt;/strong> Signals that AWS is building central AI governance tooling; relevant for leaders setting security standards around AI deployments, but no forced decision or pricing change — shapes thinking on AI risk posture policy rather than requiring action now.&lt;/li>
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