Julie Case Watched Enterprises Spend Months Chasing IT Risk Data Hiding in Plain Sight. CadentsIQ Surfaces It in Minutes.
Somewhere in an enterprise IT department, a spreadsheet is being updated. It contains end-of-life notices from three vendors, vulnerability alerts from two industry feeds, and patching requirements that arrived last week via email. Pulling it all together has taken the better part of a month. And by the time it’s done, something will have changed or been missed.
This is the state of IT infrastructure risk management at most organizations today. The failure isn’t due to the technology or lack of data. The information exists, living in vendor portals, security bulletins, inbox threads, and manually maintained trackers. The issue is that the data is fragmented. There is not a single, intelligent system that assembles, scores, and prioritizes the data, so decision-makers know what matters most.
Julie Case has spent her career inside enterprise IT, close enough to this problem to know how much it costs, in time, in exposure, and in the audits and outages that arrive when the spreadsheet wasn’t updated in time.
“Lifecycle and vulnerability data are scattered across emails, spreadsheets, and vendor and industry websites,” she says. “Companies spend weeks and sometimes months pulling this information together. CadentsIQ surfaces this information, and in minutes, we expose the unknown risks and identify what matters most.”
CadentsIQ is the AI-native platform she built to replace that process entirely. It ingests end-of-life notices, known vulnerabilities, and patching requirements across an organization’s IT infrastructure, then applies a risk-scoring and lifecycle intelligence framework that helps CIOs, CISOs, and IT leaders prioritize with clarity rather than scramble with urgency.
Launched in early 2026 and headquartered in the United States, Cadents is in active conversations with early prospects and building toward its first customer milestone. The infrastructure risk problem it is solving is not new. The platform built to finally solve it is.
The data was always there. It just needed someone to make it actionable.
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