{
  "id": 2552315,
  "title": "Where Security Fits in an AI Agent Stack: NVIDIA's Layer-by-Layer Threat Model",
  "url": "https://urgent.news/2026/08/22/where-security-fits-in-an-ai-agent-stack-nvidias-layer-by-layer",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-22T10:08:29.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/mech_app_ai/where-security-fits-in-an-ai-agent-stack-nvidias-layer-by-layer-threat-model-h2g"
  },
  "original_language": "en",
  "account": null,
  "summary": "NVIDIA has released a security architecture framework for AI agent stacks, addressing the vulnerabilities that arise from the dynamic and stateful nature of these systems. Traditional application security controls often fail to account for the way agents compose multi-step workflows, call external tools, and maintain memory across sessions. The framework divides the agent stack into five layers, each with specific security responsibilities: the Model layer, Harness layer, Meta-harness layer, Secure runtime layer, and Inference infrastructure layer. By addressing the unique challenges of each layer, NVIDIA aims to provide a comprehensive approach to securing AI agents from unauthorized access and malicious actions.",
  "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."
}