Nestlé
Improved prioritization enabled faster identification of high-impact vulnerabilities for same-day patching.
Exposure Prioritization Aligned to Business Impact
When exposure data is incomplete or inconsistent, prioritization breaks down. Conflicting severity scores, duplicate findings, and missing ownership make it difficult to determine what actually needs attention first.
Effective prioritization requires more than scanner scores—it requires context teams can trust.
Centralized, enriched exposure data enables organizations to focus remediation efforts where they will have the greatest impact.
Prioritization in Brinqa builds on a centralized exposure foundation modeled in the Cyber Risk Graph™. Findings from scanners, cloud tools, and AppSec platforms are reconciled into a single exposure record—so teams prioritize one issue, not multiple versions of the same problem.
Brinqa’s AI Attribution Engine connects the dots across exposure data—filling gaps in asset relationships, ownership, environment, exploitability signals, and business context. Teams can prioritize exposure differently across environments based on real-world impact, not isolated severity scores.
AI Vulnerability Deduplication identifies the true underlying exposure behind scanner findings by consolidating and merging duplicates into a single, explainable record. Brinqa then applies consistent prioritization models so exposure is ranked clearly, transparently, and at enterprise scale.

Improved prioritization enabled faster identification of high-impact vulnerabilities for same-day patching.
Exposure was prioritized based on exploitability and business impact rather than raw severity scores.
Clear prioritization and ownership reduced delays and accelerated remediation cycles.
"Brinqa helps us work smarter. It gives us visibility across the enterprise and lets us focus on higher-value work instead of manual reporting."
– Sr. Cybersecurity Engineer, Fortune 500 Tech Leader
Most security tools rank findings in isolation, leaving exposure data in unstructured repositories and prioritizing using only a small subset. Brinqa uses all available exposure data—not just a subset—to identify the true underlying issue and prioritize it once, so teams spend less time sorting and more time fixing.
What this enables:


When exposures are prioritized using trusted data and consistent context:



