{
  "id": 19520270,
  "title": "AI agents carry memory and storage like people, so their data needs guarding while in use",
  "url": "https://urgent.news/2026/11/11/ai-agents-carry-memory-and-storage-like-people-so-their-data-needs",
  "topic": "ai",
  "section": "AI",
  "published": "2026-11-11T16:20:46.000Z",
  "source": {
    "name": "SiliconANGLE",
    "slug": "siliconangle",
    "url": "https://siliconangle.com/2026/11/11/cloud-engineering-teams-must-protect-ai-agent-data-use-kubeconna/"
  },
  "original_language": "en",
  "account": "As AI agents become more prevalent in production on Kubernetes, cloud engineering teams in the financial sector face a new security challenge. While encryption can protect data at rest and in transit, it does not address the pressing issue of securing data while it is being actively used. This is particularly critical for payment networks, where each transaction carries sensitive customer information and regulatory risks. Krishna Mayuram, senior principal engineer and vice president of cloud engineering at Mastercard, highlighted the importance of \"confidential computing,\" which involves running applications in highly secure virtualized environments or confidential containers to protect data as it is being processed. Mastercard operates its platforms on Red Hat's OpenShift, a Kubernetes platform that has been extended to support AI agents. Red Hat has also introduced confidential containers to OpenShift on bare metal servers. Like microservices, AI agents require the same elastic infrastructure that Kubernetes provides, including horizontal and vertical scaling. However, scaling the platform increases the risk, especially considering the multi-jurisdictional nature of Mastercard's operations. To address this, Mastercard has introduced trust services for agentic commerce, applying the same security principles from development to deployment. The company emphasizes the need for consistent guardrails across all areas of its business, whether using AI agents or traditional applications.",
  "summary": "As AI agents move into production on Kubernetes, cloud engineering teams at financial companies face a security problem that encryption alone can’t solve. Container orchestration has become the default foundation for AI workloads, and the data those agents use is now the main target. Payment networks feel that pressure more than most because every transaction […] The post AI agents carry memory…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}