lower breach cost with extensive security AI and automation
IBM reported average savings of almost $2 million compared with organizations not using those capabilities.
IBM 2026 Cost of a Data Breach · 2026 ↗Updated 2026-10-04 · Security operations
Vulnerability management
cost and efficiency statistics.
A source-first view of unit economics, waste and the engineering effort needed to operate the capability. Published findings provide context; the measurement framework shows what to calculate inside your own environment.
01 / Published evidence
What the public data says.
Each figure links directly to the organization that published it. Vendor telemetry and community surveys are labelled rather than blended into one invented industry average.
repositories used Dockerfiles
GitHub reported Dockerfile use grew 120% year over year in its 2025 dataset.
GitHub Octoverse 2025 · 2025 ↗operated without risky human users in the analyzed data
Sysdig reported measurable progress in human-identity risk while machine identity complexity grew.
Sysdig Cloud-Native Security and Usage Report · 2025 ↗02 / Your baseline
Measure the system you actually run.
Use these formulas consistently for at least one complete operating cycle. Keep scope, exclusions and collection dates beside the result.
Unit operating cost
Monthly attributable cost ÷ active workloads or services
Avoidable spend ratio
Verified waste ÷ total attributable spend × 100
Engineering effort
Monthly engineer hours spent on routine operation and remediation
03 / Interpretation
A number without a denominator is decoration.
Segment results by environment, workload owner and business criticality. A falling average can hide one critical service getting worse; a rising count can simply reflect better discovery.
- Record the source system and collection window.
- Separate discovered, in-scope and actively managed populations.
- Keep medians and tail values where averages hide risk.
- Annotate architecture, policy and tooling changes.
- Recalculate after remediation instead of closing on intent.
Related benchmarks
Look at the adjacent signal.
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Gritt can map the data sources, calculate a defensible baseline and implement the changes behind it.
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