Automate Exposure Management with Brinqa’s AI-Powered Solution
Enterprise Security Gets a Boost with Brinqa’s AI-Powered Exposure Management Platform
In a bid to tackle the perennial problems of unclear asset ownership and duplicate exposure signals, Brinqa has introduced two new AI agents – the AI Attribution Agent and the AI Deduplication Agent – to its platform. These AI-powered solutions aim to bring clarity, accountability, and speed to exposure management, enabling enterprises to make faster, more informed decisions.
AI Attribution Agent
The AI Attribution Agent addresses the issue of unclear asset ownership by inferring missing or stale asset attributes using machine learning models trained on patterns across an organization’s existing data. This agent provides transparent reasoning, confidence scoring, and traceability, allowing security teams to review, validate, and approve recommendations. Human judgment remains in the loop, while the AI continuously learns from feedback over time.
AI Deduplication Agent
The AI Deduplication Agent, on the other hand, consolidates duplicate exposure signals across scanners and security tools into a single, enriched record. By intelligently correlating findings that describe the same underlying issue, the agent provides a more accurate view of exposure, reducing phantom findings, conflicting tickets, and metrics that reflect reality instead of scanner overlap.
Benefits of the AI Agents
Together, these AI agents reduce friction across security, IT, and engineering teams by ensuring exposures are clearly defined, accurately represented, and routed to the right owners for remediation. This, in turn, enables faster and more effective risk management.
Brinqa’s Platform Architecture
Brinqa’s platform is built on a living architecture that continuously learns, adapts, and improves. The platform’s three integrated layers – the Data Layer, AI Layer, and Orchestration Layer – operate as a single system, ensuring recommendations are explainable, outcomes are measurable, and confidence scales with the enterprise.
Data Layer
The Data Layer unifies siloed exposure, asset, and threat data into a trusted foundation, modeling how risk relates to real-world environments.
AI Layer
The AI Layer transforms this data into actionable intelligence, enabling faster, more accurate decision-making while keeping humans in control.
Orchestration Layer
The Orchestration Layer turns intelligence into action through continuous automation, enabling guided remediation and cross-team collaboration.
According to Dan Pagel, CEO of Brinqa, “This release addresses the trust problem head-on with AI-native agents built into a platform architected for AI from the ground up. Deduplication, ownership attribution, and SmartFlow automations are all transparent, all explainable, and all designed to turn exposure management into a trusted and disciplined, continuous system for reducing real risk.”
Brinqa’s CyberRisk Graph and Data Lake
The Brinqa platform is built on a Data Layer purpose-built for high-scale cybersecurity analytics and long-term visibility. At its core is Brinqa’s CyberRisk Graph, a proprietary data model that maps relationships across exposure data, assets, and threat intelligence to deliver a flexible, accurate view of enterprise risk. The CyberRisk Graph adapts as environments evolve, normalizing, contextualizing, and cleansing any data type to support confident decision-making.
The platform also features an intelligent data lake, BrinqaDL, which securely retains historical exposure and remediation data to support audits, forensics, trend analysis, and AI-driven decisioning. By preserving years of context, Brinqa enables teams to understand how risk evolves, why decisions were made, and what impact remediation actions delivered, all while maintaining customer ownership and control of data.
Orchestration Layer and SmartFlows
The Orchestration Layer provides immediate visibility into exposure priorities, including OWASP Top 10, top findings by team or business unit, urgency, class, and threat. Automation is expanded through SmartFlows, a no-code orchestration engine that enables teams to build and modify workflows through a drag-and-drop interface. SmartFlows can trigger alerts, create tickets, and route issues based on defined conditions, empowering remediation owners and program managers to act faster, reduce manual effort, and drive measurable outcomes.
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