{
  "id": 9353968,
  "title": "Closing the observability gap for the AI-ready enterprise",
  "url": "https://urgent.news/2026/09/23/closing-the-observability-gap-for-the-ai-ready-enterprise",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-23T15:00:00.000Z",
  "source": {
    "name": "The Register Science",
    "slug": "the-register-science",
    "url": "https://www.theregister.com/security/2026/09/23/sponsored-closing-the-observability-gap-for-the-ai-ready-enterprise/5298070"
  },
  "original_language": "en",
  "account": "The modern enterprise relies heavily on interconnected systems and digital services. Disruptions can have significant financial, reputational, productivity and compliance impacts. Observability has become a board-level issue, particularly for public companies where material cyber incidents are required to be disclosed within a four-business-day window. The first executive problem during a disruption is determining whether it is material. However, many organizations struggle to harness the power of observability due to the complexity and scale of their digital infrastructure. The traditional data foundation of metrics, events, logs, and traces (MELT) is insufficient to keep pace with today's digital landscape. Companies tend to gather more data, increase sampling and extend retention, but this does not necessarily lead to better insight. Executives often rely on their instincts rather than the data when making decisions. Insufficient data increases incident resolution time, with 81% of organizations believing this to be the case. Downtime is estimated to cost between $500,000 and $999,000 per hour. To leverage autonomous AI in operations, organizations need a trustworthy data foundation that is consistent, comprehensive, enriched and real-time. This requires a fresh approach that builds upon existing investments without replacing them. Packet data, which is the authoritative record of network traffic, can provide the necessary visibility and context. This would help address the visibility gaps and ensure that AI-assisted insights are more consistent, reliable and trustworthy.",
  "summary": "SPONSORED FEATURE: Why AI-driven operations need a data-rich view of the network",
  "key_points": [
    "Modern enterprises face disruptions impacting finances and reputation",
    "Observability crucial for board-level decision-making and cyber incident disclosure",
    "Packet data offers authoritative visibility for AI-ready operations"
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 2,
    "also_reported_by": [
      {
        "outlet": "The Register",
        "title": "Closing the observability gap for the AI-ready enterprise",
        "url": "https://urgent.news/2026/09/23/closing-the-observability-gap-for-the-ai-ready-enterprise-9357086",
        "published": "2026-09-23T15:00:00.000Z"
      }
    ]
  },
  "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."
}