{
  "id": 5233380,
  "title": "Metrics Driven Security",
  "url": "https://urgent.news/2026/09/03/metrics-driven-security",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-09-03T03:16:42.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/temikara/metrics-driven-security-34ld"
  },
  "original_language": "en",
  "account": "In the modern security landscape, a reactive approach is no longer sufficient. Attack surfaces have expanded, budgets are being closely monitored, and boards expect clear evidence that security investments are reducing risk. This has led to the emergence of metrics-driven security - running a security program with defined measurements, targets, and feedback loops, much like a well-run engineering or product team.\n\nMetrics-driven security means deciding in advance what \"good\" looks like, tracking the same metrics over time to measure improvement or decline, and allowing the metrics to guide decisions. It's not just about collecting data, but making decisions based on that data. Good metrics programs avoid common pitfalls like vanity metrics, metrics without owners, metrics disconnected from business risk, and tracking too many metrics.\n\nWhile there's no universal list of metrics that fits every organization, several categories tend to be useful across industries. These include detection and response metrics (mean time to detect and respond), exposure management, time to patch critical vulnerabilities, asset inventory and vulnerability scanning coverage, internet-facing assets with exploitable vulnerabilities, privileged account security, human risk metrics (phishing simulation rates), and program health indicators (budget as a percentage of IT spend, third-party security reviews).\n\nSimply collecting numbers is not enough. The real challenge lies in establishing a routine where these metrics influence behavior. This involves setting thresholds, not just measurements, reviewing metrics on a fixed schedule, tying metrics to spending decisions, and presenting metrics in a way that's easy for business leaders to understand.\n\nThe shift to metrics-driven security often proves more challenging on a cultural level than on a technical one. Teams accustomed to making judgments based on instinct can resist having their work quantified, particularly if early metrics aren't favorable. To overcome this resistance, it's crucial to present metrics as a means to justify resource allocation and priority setting, rather than as a personal performance scorecard.\n\nUltimately, when executed effectively, metrics-driven security shifts a reactive program into one that can demonstrably show where risk is decreasing, where it's increasing, and where additional resources should be allocated. This provides a stronger position when communicating with stakeholders, whether they're CISOs, CFOs, or board members.",
  "summary": "Security teams have historically operated on instinct. A firewall rule feels right. A new tool seems like it will help. An audit finding gets patched because someone said it was important. That approach worked when security was a small, contained function bolted onto IT. It doesn't work anymore. Attack surfaces are larger, budgets are scrutinized more closely, and boards want to know whether the…",
  "key_points": [],
  "editors_take": "Adopting metrics-driven security shifts a reactive program to one that demonstrably shows risk changes and informs resource allocation, providing a stronger position when communicating with stakeholders.",
  "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."
}