Research
Original analysis, surveys, datasets, benchmarks and market landscapes.
The cloud security backlog audit: a method for measuring the unfixable queue
A practical methodology for cloud security leads to identify findings that will never be closed by standard engineering workflows and how to quantify the remediation gap.
The severity inversion: Why critical cloud findings are the slowest to close
Critical cloud findings often persist for over 100 days despite their severity. Analysis of remediation workflows reveals why detection-only strategies fail and how human-supervised closure fixes the backlog.
Your cloud misconfigurations stay open for 150 days. Here is the proof
Average remediation for critical cloud vulnerabilities now hits 60 days, while medium-severity misconfigurations often exceed five months. Data shows the bottleneck is not detection, but the manual labor of safe closure.
Stop counting alerts. These 4 metrics show whether anything got fixed
Stop tracking total alert counts and start measuring the 30 day reversion rate and developer friction to fix cloud vulnerabilities.
53% of critical detections go unaddressed, and the clock runs 150 days
Critical cloud alerts now sit unresolved for 150 days as enterprise security teams lose ground to a 900% increase in high-severity telemetry.
What good MTTR looks like when your security team is 4 people
For teams under ten people, the gap between cloud detection and closure is widening. We analyze the metrics that define a functional remediation process.
Who owns the fix? Mapping every finding to the person who can change it
Cloud security backlogs grow because the teams that detect risks lack the authority to fix them. Mapping ownership is the first step toward actual remediation.