{
  "id": 9348533,
  "title": "The software supply chain is the new battlefield. AI just changed the rules.",
  "url": "https://urgent.news/2026/09/23/the-software-supply-chain-is-the-new-battlefield-ai-just-changed-the",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-23T14:00:00.000Z",
  "source": {
    "name": "The New Stack",
    "slug": "the-new-stack",
    "url": "https://thenewstack.io/ai-supply-chain-security/"
  },
  "original_language": "en",
  "account": "In the software supply chain, AI has introduced new challenges and opportunities. GitHub processed around one billion commits in 2025, with usage of GitHub Actions increasing from 500 million compute minutes per week in 2023 to 2.1 billion in a single week this year. Quincy Castro, CISO at Chainguard, notes that AI has changed how coding is done, with engineers no longer writing lines of code themselves. This shift in software development is evident in various teams, including HR, finance, and business intelligence, which can now create software themselves using AI. However, this also means more software is created by people outside traditional engineering teams, often with AI making decisions about dependencies.\n\nAI has also widened the pool of people who can create software, making it easier for teams with non-engineering roles to build what they need. This expansion of the development pool brings both opportunities and risks. Attackers are taking advantage of AI's capabilities, with three main issues arising simultaneously. First, AI-powered models are discovering previously unknown vulnerabilities. Second, attackers are using agents to exploit these vulnerabilities before organizations can fix them. Lastly, AI can chain seemingly minor weaknesses into a viable attack path.\n\nThe software supply chain is particularly vulnerable to AI-driven attacks. Modern applications heavily rely on open-source software, which attackers target to compromise infrastructure. A notable example is the TeamPCP campaign, which compromised widely used projects including Aqua Security's Trivy. By pushing malicious code into trusted components, attackers can distribute it downstream, leading to a cascade of compromises and access to other systems.\n\nThe development pipeline itself poses risks, as many organizations have few controls around CI/CD, and developers routinely pull components from external sources. Adding autonomous coding tools to this behavior compounds the risk, making open-source consumption similar to plugging an unknown USB drive into a production system. Trusting the distribution path without verifying what is being consumed is dangerous. Prevention must come before detection, as the old security model of scanning, alerting, deciding severity, and fixing becomes increasingly challenging when development output multiplies, AI agents make more decisions, and attackers can exploit weaknesses before fixes are available.",
  "summary": "AI coding tools have seriously accelerated developer speed, but AI has also done the same for attackers — and the The post The software supply chain is the new battlefield. AI just changed the rules. appeared first on The New Stack .",
  "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."
}