BrinqaIQ: Governed, Multilingual Exposure Intelligence
BrinqaIQ enables natural-language exploration of exposure data in more than 140 languages, grounded in governed metadata and RBAC to safely expand access to exposure intelligence.
BrinqaAI: Exposure Intelligence for Enterprise Security

Enterprise security teams face too much data and too little clarity. Duplicate findings, missing ownership, conflicting scores, and inconsistent context make it hard to know what matters and who should act.
BrinqaAI unifies fragmented exposure signals into a continuously normalized source of truth, helping teams move from reactive triage to confident decision-making.
BrinqaAI helps improve outcomes across enterprise security programs:
These outcomes come from better data, better structure, and better context – applied consistently at scale.
See how BrinqaAI helps teams improve data quality, clarify ownership, and focus remediation on what matters most.
Clearer ownership and accountability across diverse environments
BrinqaAI enables organizations to assess exposure differently based on asset type, environment, and business context. Teams can apply tailored risk scoring for IoT, retail, corporate, or cloud assets and visualize how assets, vulnerabilities, and environments relate.
Security teams gain a clearer understanding of where risk exists and who owns it, without relying on manual correlation.


BrinqaAI enriches exposure data with missing context, including asset relationships, ownership, and business hierarchy – delivering clean, decision-ready findings that reduce manual investigation and speed remediation.
BrinqaAI consolidates overlapping findings using deterministic logic and semantic analysis, creating a single, consistent, explainable exposure record that reduces noise and shortens time to remediation.
BrinqaIQ enables teams to explore exposure intelligence in natural language across more than 140 languages, grounded in governed metadata and RBAC – making insights accessible without sacrificing accuracy or control.
BrinqaAI supports secure, contextual interactions with workflows and third-party tools while enforcing governance, RBAC, and auditability – ensuring AI operates safely within enterprise boundaries.
BrinqaAI is built on a unified exposure data architecture that maintains historical context and normalized structure – supporting analytics, reporting, automation, and future intelligence use cases at scale.
BrinqaAI is a set of integrated AI capabilities that improve exposure data quality – delivering accurate, explainable intelligence through a deliberate, data-first approach.
BrinqaIQ enables natural-language exploration of exposure data in more than 140 languages, grounded in governed metadata and RBAC to safely expand access to exposure intelligence.
Attribute Assistant fills gaps in exposure data by enriching findings with asset relationships, ownership, and business context – reducing manual cleanup and improving prioritization.
BrinqaAI consolidates overlapping findings into unified exposure records using deterministic logic and semantic analysis – reducing noise and creating a consistent, explainable source of truth.

When exposure data becomes accurate, complete, and explainable, everything improves.
BrinqaAI enables organizations to:
BrinqaAI makes exposure intelligence continuous, consistent, and accessible – delivering real operational leverage for enterprise security teams.


