Bridging runtime and build time intelligence to reduce friction
summary
Claims that bridging runtime and build time cuts alert noise by about 95% and speeds root‑cause to 10x faster by combining runtime sensors, cloud scanners and a 24‑hour baseline with build‑time data. Demo shows a vulnerability funnel (812 → 9 actionable CVEs), automatic API endpoint discovery, identity‑to‑resource graphs, and correlated “issues” that dropped 54 issues to 1–2/week across 15,000 nodes and found 25–40% wasted network spend; integrates with Jira, ServiceNow and Slack.
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chapters (19)
- 0:00Cybersecurity importance today
- 1:25Cloud security history
- 10:37Three steps to secure cloud
- 14:31Upwind platform overview
- 20:10Reducing noise by 95%
- 22:20Unparalleled visibility
- 24:53Baselines and anomalies
- 27:44Internet exposure mapping
- 30:16Customer success metrics
- 33:49Live demo introduction
- 34:09Platform walkthrough
- 36:40Vulnerability funnel demo
- 38:08Threat detection and remediation
- 39:53API security testing
- 40:55Identity risk analysis
- 41:38Issues and prioritization
- 43:44Stories feature for breaches
- 45:10Workflow and notifications
- 46:56Closing remarks and Q&A
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