Your Scanners Generate Mountains of Data. Your Team Spends 80% of Their Time Just Making It Usable.

Every scanner speaks a different language. One calls it a "host," another calls it an "asset," a third calls it an "IP." The same vulnerability shows up as duplicate rows across tools. The data is stale before you finish normalizing it. And by the time you've stitched it all together in a spreadsheet, you get to do it all over again tomorrow.

In this session, NopSec Senior Data Scientist Adrienne Juett and Director of Solution Engineering Rob Johnson break down how a purpose-built security data pipeline solves the normalization, deduplication, and enrichment problems that keep security teams stuck in data wrangling instead of remediation.

What You'll Learn

Why your scanner data isn't actionable out of the box — Adrienne walks through the real-world challenges of pulling data from multiple security tools: inconsistent field names, missing context, duplicated assets, and information gaps that make apples-to-apples comparison nearly impossible without a normalization layer.

How NopSec's data fabric turns raw feeds into a single source of truth — From vulnerability scanners and EDR/XDR to CMDB metadata and threat intelligence, Adrienne explains how NopSec ingests, normalizes, deduplicates, and enriches security data into a unified view. No more scripts. No more spreadsheets.

Where AI and ML fit into the pipeline — NopSec's patented Business Risk Score goes beyond CVSS by layering in exploit intelligence, environmental context, asset topology, and compensating controls. Adrienne also covers how generative AI normalizes remediation recommendations across scanners so IT teams get clear, specific fix actions instead of vague guidance.

From insights to remediation tickets — Rob and Adrienne show how NopSec pinpoints the most impactful remediation actions, pushes them into your ITSM system with bi-directional sync, and validates whether fixes actually worked by checking back against scanner data.

Watch the Full Session

Stop spending your week normalizing spreadsheets. See how a security data pipeline gets your team from raw scanner output to prioritized remediation in hours, not days.

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