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.
Enterprise Exposure Intelligence, Powered by AI

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.


Brinqa's Platform delivers enterprise-ready AI built for exposure management, transparency, and scale.
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 analyzing existing signals to infer asset relationships, ownership, and business context—reducing manual cleanup and improving prioritization.
Brinqa's AI consolidates overlapping findings into unified exposure records using deterministic logic and semantic analysis – reducing noise and creating a consistent, explainable source of truth.
Brinqa’s AI Attribution Engine analyzes multi-source exposure data to identify patterns, rationalize inconsistencies, and predict missing attributes such as remediation ownership. Predictions include confidence scores and tracked sources, enabling automation and workflows to proceed even when original data is incomplete—while remaining explainable and governed.
Brinqa's AI Vulnerability Deduplicator consolidates overlapping findings using deterministic logic and semantic analysis, creating a single, consistent, explainable exposure record that reduces noise, improves vulnerability prioritization, 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.
The Brinqa Platform supports secure, contextual interactions with workflows and third-party tools while enforcing governance, RBAC, and auditability – ensuring AI operates safely within enterprise boundaries. All of our AI capabilities operate within enterprise guardrails, including RBAC, auditability, and transparent attribution. AI supports—not replaces—human decision-making across cyber risk management workflows.
Brinqa's AI runs on a unified exposure data model that actively creates and maintains relationships between assets, vulnerabilities, identities, environments, and business context.

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


