PCI DSS Remediation Trends
Year-over-year shifts in PCI DSS remediation costs, time-to-close, and automation adoption. Costs are trending down, speed is improving — driven by GRC platform adoption and maturing automation tooling.
Year-over-Year Trends
Three-year trend across key remediation metrics. All figures are industry medians across the GRCTrack benchmark cohort.
| Metric | 2023 | 2024 | 2025 | 3-Year Change |
|---|---|---|---|---|
| Average Remediation Cost (per gap) | $18,400 | $17,200 | $15,800 | −8% |
| Median Time-to-Close (days) | 58d | 52d | 46d | −12% |
| Automation Coverage | 42% | 52% | 62% | +15% |
| Critical Finding Re-open Rate | 31% | 26% | 21% | −32% |
| Evidence Collection Time (per control) | 4.2h | 3.1h | 2.4h | −43% |
| Avg Findings per Audit | 14.2 | 12.8 | 11.4 | −20% |
Remediation by Control Category
Network controls remain the most expensive and time-intensive category. Evidence collection has the highest automation rate and lowest cost.
Highest cost category. Firewall rule reviews, segmentation testing, and network architecture changes require specialist resource and extended change-freeze cycles.
Moderate cost with high automation potential. Privileged access reviews, MFA enforcement, and access revocation workflows are well-suited to automated tooling.
High automation potential. Modern patch management platforms can automate 70%+ of discovery, testing, and deployment workflows — dramatically reducing both cost and time.
Lowest cost and highest automation rate. Evidence collection for log reviews, vulnerability scans, and security training records can be fully automated with the right GRC platform.
Frequently Asked Questions
Why are PCI remediation costs trending down?
Three structural shifts are driving cost reduction: (1) GRC platform adoption — organisations using dedicated compliance platforms automate 40–70% of evidence collection and remediation tracking, reducing analyst hours; (2) maturing cloud-native tooling — patch management, access reviews, and monitoring have purpose-built automation; (3) programme experience — organisations that have completed 3+ audit cycles develop repeatable processes that compress cycle times significantly.
Which remediation category offers the fastest ROI from automation?
Evidence collection offers the fastest ROI — 88% automatable with low implementation complexity. A properly configured GRC platform can eliminate most manual evidence gathering within 60–90 days. Patch management is second at 72% automatable, with commercial patch management tools providing rapid deployment capability. Network controls have the lowest automation potential (28%) due to the complexity and change risk involved in network architecture changes.
How does my organisation compare if our time-to-close is over 60 days?
The industry median is 46 days (2025). If your time-to-close exceeds 60 days, you are in approximately the bottom quartile for remediation speed. The most common causes are: lack of a dedicated remediation owner per finding, manual evidence workflows that slow verification, and absence of remediation SLAs by severity tier. GRCTrack customers who implement automated remediation workflows average 31 days time-to-close — 33% faster than the industry median.
Do remediation trends differ between industry sectors?
Significantly. FinTech and SaaS organisations achieve median time-to-close of 28–32 days for patch management findings, compared to 55–65 days in Retail and Hospitality where legacy infrastructure creates patching complexity. Network control remediation costs are 60–80% higher in Hospitality due to fragmented property management system estates. Use the GRCTrack benchmark to see remediation benchmarks specific to your industry.
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