Your team is drowning in data from dozens of tools. Each one tells a different part of the story. Manual correlation wastes hours and introduces errors. The answer is not more tools—it's connecting the ones you already have.
Security teams face tens of thousands of vulnerabilities flagged every scan. Finance pulls reports from billing, accounting, and forecasting systems separately. Operations checks inventory across multiple platforms manually.
The data exists, but it's fragmented. You end up treating all problems as equal when they're not. A critical vulnerability on an internet-facing server isn't the same as one on a test machine no one touches. But without context, you can't tell the difference.
Without correlation, teams waste time on low-priority issues while high-risk problems go unnoticed. Every manual step adds delay and error. Speed suffers. Risk increases.
Each tool shows part of the picture, but no one sees how the pieces connect
Manual correlation across spreadsheets is error-prone and takes hours your team doesn't have
Treating all issues equally means the real risks get buried in noise
Data becomes intelligence when you add context. A vulnerability scanner tells you what's broken. Your CMDB tells you what's critical. Active Directory tells you what's actually in use. When you connect these together, you know what to fix first.
The teams that move fastest aren't manually exporting CSVs and running pivot tables. They're automating the correlation and focusing on decisions instead of data prep.
Instead of treating all critical vulnerabilities the same, correlate data from multiple systems to understand which ones actually matter.
When you correlate these data points, you stop trying to prioritize 50,000 critical vulnerabilities and start focusing on the ones that actually increase risk—internet-facing, high-value assets with active exploits in the wild.
Limited to what the vendor decides to build. Can't customize the data model. Often requires daisy-chaining multiple integrations through a complex process.
Result: Rigid, incomplete, and slow to adapt when tools or requirements change.
Weeks in the backlog before work starts. Brittle code that's hard to maintain. What happens when the developer leaves or the API changes?
Result: Expensive, fragile, and slow to deliver. Hard to update as your environment evolves.
Integration platforms like Clockspring let you connect systems in hours instead of weeks. No deep programming required. Fast to build, easy to update, and flexible enough to adapt as your tools change.
Connect data sources and build correlation workflows without waiting for developer availability
If you can map the logic, you can build it—no specialized developers required
When tools change or new data sources are added, updating flows takes minutes instead of months
Let us show you how to connect your data sources and build correlation workflows in hours. See exactly how to turn scattered information into intelligence.
15-minute walkthrough • Custom correlation demo • No commitment required