3ΓFaster
NestlΓ©
Improved prioritization enabled faster identification of high-impact vulnerabilities for same-day patching.
Prioritize Vulnerabilities by Risk
Exposure Prioritization Aligned to Business Impact
The Challenge
Exposure Prioritization Breaks Down Without Context
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 scoresβit requires context teams can trust.
Centralized, enriched exposure data enables organizations to focus remediation efforts where they will have the greatest impact.
[ Unify Exposure Data ]
1. Start with trusted, unified exposure data
Prioritization in Brinqa builds on a centralized exposure foundation modeled in the Cyber Risk Graphβ’. Findings from scanners, cloud tools, and AppSec platforms are reconciled into a single exposure recordβso teams prioritize one issue, not multiple versions of the same problem.
[ Unify Exposure Data ]
2. Apply context using attribution and enrichment
Brinqaβs AI Attribution Agent connects the dots across exposure dataβfilling 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.
[ Unify Exposure Data ]
3. Reduce noise and rank exposure consistently
AI Deduplication Agent 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.
Brinqa in Action
See How Brinqa Connects Vulnerability Data to Attacker Behaviorβββββο»Ώβο»Ώββββββο»Ώο»Ώβο»Ώβββββββββο»Ώββββββο»Ώββββββο»Ώβββββββο»Ώβο»Ώββββββο»Ώββββββο»Ώβββο»Ώββββο»Ώβββββββο»Ώο»Ώββββββο»Ώββββββββββο»Ώβββββββββββββββο»Ώβββββββββββο»Ώβββο»Ώβββο»Ώβββο»Ώβο»Ώβο»Ώββββο»Ώο»Ώββο»Ώο»Ώβββββο»Ώββββββββο»Ώββο»Ώββββββββο»Ώββο»Ώβο»Ώββββββο»Ώββββββο»Ώβββο»Ώββββο»Ώββο»Ώβο»Ώβο»Ώβββο»Ώββββββββββββο»Ώο»Ώββο»Ώο»Ώββββββο»Ώββο»Ώββββββββο»Ώββο»Ώββββο»Ώο»Ώβββββββββββββο»Ώββββο»Ώο»Ώββο»Ώβββο»Ώο»Ώβββββββββο»Ώο»Ώββο»Ώβββο»Ώβββββββο»Ώβο»Ώββββββο»Ώββο»Ώβββββββο»Ώββββββββο»Ώο»Ώββο»Ώββο»Ώβο»Ώβββββββββο»Ώο»Ώββββββββο»Ώβββββο»Ώβββββββο»Ώβο»Ώβο»Ώβο»Ώβο»Ώβο»Ώββο»Ώββββο»Ώβββββο»Ώβββο»Ώββββο»Ώββο»Ώβββββββββββο»Ώββββο»Ώββββββο»Ώβββββββο»Ώββββο»Ώββο»Ώβββββββο»Ώβββββββββββο»Ώβββο»Ώβββο»Ώβββββββββο»Ώβββββββββο»Ώβο»Ώβο»Ώβββο»Ώβββο»Ώβββββββο»Ώο»Ώββο»Ώββββο»Ώββββββο»Ώββββββββο»Ώο»Ώβο»Ώββββο»Ώββο»Ώβο»Ώβο»Ώβββββββο»Ώβββββββο»Ώο»Ώβββββββο»Ώβββο»Ώο»Ώβββο»Ώβββο»Ώβο»Ώβο»Ώβββββο»Ώββββββββο»Ώο»Ώβββο»Ώβββββο»Ώβββββββο»Ώβο»Ώβββββββββο»Ώβο»Ώβββββββββο»Ώβββο»Ώβββο»Ώβββο»Ώβββββο»Ώβο»Ώβββο»Ώβββο»Ώβο»Ώβο»Ώβο»Ώβο»Ώβββββββο»Ώβββο»Ώβββο»Ώβββββββο»Ώβββο»Ώβββββββο»Ώββββββββο»Ώββο»Ώβββββββο»Ώββββο»Ώββββββο»Ώβο»Ώβββββο»Ώβββββββο»Ώβββββββο»Ώβββββββο»Ώο»Ώο»Ώβββββββββο»Ώβο»Ώβββββββββο»Ώββββο»Ώββο»Ώο»Ώββββββο»Ώβββο»Ώβββο»Ώβββο»Ώβο»Ώβββββο»Ώβο»Ώβββββββββο»Ώβββββββββββο»Ώβββββββββββο»Ώββββββββο»Ώββο»Ώββββββββο»Ώββο»Ώβο»Ώββββββο»Ώββββββο»Ώβββο»Ώββββο»Ώββο»Ώβο»Ώβο»Ώβββο»Ώββββββββββββο»Ώο»Ώβββββββββββββο»Ώο»Ώββββββββο»Ώβββββο»Ώβββββββο»Ώβο»Ώβο»Ώβο»Ώβο»Ώβο»Ώββο»Ώββββο»Ώβββββο»Ώβββο»Ώββββο»Ώββο»Ώβββββββββββο»Ώββββο»Ώββββββο»Ώβββββββο»Ώββββο»Ώββο»Ώβββββββο»Ώβββββββββββο»Ώβββο»Ώβββο»Ώβββββββββο»Ώβββββββββββββο»Ώβββο»Ώβββο»Ώβββββββο»Ώο»Ώββο»Ώββββο»Ώββββββο»Ώββββββββο»Ώο»Ώβο»Ώββββο»Ώββββββο»Ώβββββββο»Ώβββββββο»Ώο»Ώβββββββο»Ώβββο»Ώο»Ώβββο»Ώβββο»Ώβο»Ώβο»Ώβββββο»Ώββββββββο»Ώο»Ώβββο»Ώβββββο»Ώβββββββο»Ώβο»Ώβββββββββο»Ώβο»Ώβββββββββο»Ώβββο»Ώβββο»Ώβββο»Ώβββββο»Ώβο»Ώβββο»Ώβββο»Ώβο»Ώβο»Ώβο»Ώβο»Ώβββββββο»Ώβββο»Ώβββο»Ώβββββββο»Ώβββο»Ώβββββββο»Ώββββββββο»Ώββο»Ώβββββββο»Ώββββο»Ώββββββο»Ώβο»Ώβββββο»Ώβββββββο»Ώβββββββο»Ώβββββββββββο»Ώο»Ώβ
"Brinqa helps us work smarter. It gives us visibility across the enterprise and lets us focus on higher-value work instead of manual reporting.βο»Ώβο»Ώββββββο»Ώο»Ώβο»Ώβββββββββο»Ώββββββο»Ώββββββο»Ώβββββββο»Ώβο»Ώββββββο»Ώββββββο»Ώβββο»Ώββββο»Ώβββββββο»Ώο»Ώββββββο»Ώββββββββββο»Ώβββββββββββββββο»Ώβββββββββββο»Ώβββο»Ώβββο»Ώβββο»Ώβο»Ώβο»Ώββββο»Ώο»Ώββο»Ώο»Ώβββββο»Ώββββββββο»Ώββο»Ώββββββββο»Ώββο»Ώβο»Ώββββββο»Ώββββββο»Ώβββο»Ώββββο»Ώββο»Ώβο»Ώβο»Ώβββο»Ώββββββββββββο»Ώο»Ώββο»Ώο»Ώββββββο»Ώββο»Ώββββββββο»Ώββο»Ώββββο»Ώο»Ώβββββββββββββο»Ώββββο»Ώο»Ώββο»Ώβββο»Ώο»Ώβββββββββο»Ώο»Ώββο»Ώβββο»Ώβββββββο»Ώβο»Ώββββββο»Ώββο»Ώβββββββο»Ώββββββββο»Ώο»Ώββο»Ώββο»Ώβο»Ώβββββββββο»Ώο»Ώββο»Ώβββββββο»Ώβββο»Ώβββο»Ώβο»Ώβο»Ώβββο»Ώββββββββο»Ώββββββο»Ώβββο»Ώβο»Ώββββββο»Ώββο»Ώβββο»Ώβββο»Ώβββο»Ώββββο»Ώββββββββββββββο»Ώββββο»Ώββββββο»Ώβββββββο»Ώβο»Ώβο»Ώβββο»Ώβββββββο»Ώβο»Ώβο»Ώβββο»Ώβββββββββο»Ώβο»Ώβο»Ώβο»Ώβββο»Ώβββο»Ώβββββββο»Ώο»Ώββββο»Ώβββββο»Ώβο»Ώββββββο»Ώββο»Ώβο»Ώβο»Ώβββο»Ώβββββββο»Ώβββο»Ώβο»Ώβο»Ώβββββββο»Ώβββββββο»Ώο»Ώβββββββο»Ώο»Ώβββββο»Ώβββββββο»Ώββββββββο»Ώο»Ώβββο»Ώβββββο»Ώβββββββο»Ώβο»Ώβββββββββο»Ώβο»Ώβββββββββο»Ώβββο»Ώβββββββββββββββο»Ώβββο»Ώβο»Ώβο»Ώβββο»Ώβββο»Ώβββο»Ώβο»Ώβο»Ώβββββο»Ώβο»Ώβββββββο»Ώβββο»Ώβββββββο»Ώββββββββο»Ώββββββο»Ώβββο»Ώββββββββο»Ώο»Ώβο»Ώβββο»Ώο»Ώο»Ώβββββββββο»Ώβο»Ώβββββββββο»Ώββββο»Ώββο»Ώο»Ώββββββο»Ώβββο»Ώβββο»Ώβββο»Ώβο»Ώβββββο»Ώβο»Ώβββββββββο»Ώβββββββββββο»Ώβββββββββββο»Ώββββββββο»Ώββο»Ώββββββββο»Ώββο»Ώβο»Ώββββββο»Ώββββββο»Ώβββο»Ώββββο»Ώββο»Ώβο»Ώβο»Ώβββο»Ώββββββββββββο»Ώο»Ώβββββββββββββο»Ώο»Ώββο»Ώβββββββο»Ώβββο»Ώβββο»Ώβο»Ώβο»Ώβββο»Ώββββββββο»Ώββββββο»Ώβββο»Ώβο»Ώββββββο»Ώββο»Ώβββο»Ώβββο»Ώβββο»Ώββββο»Ώββββββββββββββο»Ώββββο»Ώββββββο»Ώβββββββο»Ώβο»Ώβο»Ώβββο»Ώβββββββο»Ώβο»Ώβο»Ώβββο»Ώβββββββββο»Ώβββββο»Ώβββο»Ώβββο»Ώβββββββο»Ώο»Ώββββο»Ώβββββο»Ώβο»Ώββββββο»Ώββο»Ώβο»Ώβο»Ώβββο»Ώβββββββο»Ώβββββββο»Ώβββββββο»Ώβββββββο»Ώο»Ώβββββββο»Ώο»Ώβββββο»Ώβββββββο»Ώββββββββο»Ώο»Ώβββο»Ώβββββο»Ώβββββββο»Ώβο»Ώβββββββββο»Ώβο»Ώβββββββββο»Ώβββο»Ώβββββββββββββββο»Ώβββο»Ώβο»Ώβο»Ώβββο»Ώβββο»Ώβββο»Ώβο»Ώβο»Ώβββββο»Ώβο»Ώβββββββο»Ώβββο»Ώβββββββο»Ώββββββββο»Ώββββββο»Ώβββο»Ώββββββββο»Ώο»Ώβο»Ώβββββββο»Ώβββββββο»Ώβββο»Ώβο»Ώβο»Ώβββββββββο»Ώβο»Ώβββββββο»Ώβββββββο»Ώο»Ώββο»Ώβββο»Ώββββββββο»Ώββββββο»Ώβο»Ώβββββββββββββββββο»Ώο»Ώβ"
β Sr. Cybersecurity Engineer, Fortune 500 Tech Leaderββββ
Risk-Based Prioritization
Clear, Accurate Exposure PrioritizationβWithout the Noise
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 dataβnot just a subsetβto identify the true underlying issue and prioritize it once, so teams spend less time sorting and more time fixing.
What this enables:
- Fewer items competing for attention
- Clear agreement on what needs to be fixed first
- Less time debating severity, more time reducing exposure
What It Unlocks
What Brinqa's Approach to Prioritization Enables
When exposures are prioritized using trusted data and consistent context:
Remediationfocuses on the most impactful issues
Ownershipis clearer and easier to assign
Reportingreflects real progress against meaningful risk
Customer Success Stories
How an Enterprise Retailer Saved 600+ Hours with Unified Exposure Management
Vulnerability Prioritization & Remediation
How to Prioritize Vulnerabilities: A Modern Guide to Risk-Based Remediation
