Brinqa Adds AI Agents for Exposure Management

Brinqa has introduced two AI agents to address common problems in exposure management: unclear asset ownership and duplicate findings from multiple tools. Both issues slow remediation and make risk harder to measure. The update is designed to help security teams move faster by cleaning up data and routing issues to the right owners so action can happen without long manual effort.

The AI Attribution Agent fills in missing asset details such as owner, business unit, or environment by learning from existing enterprise data. The AI Deduplication Agent brings together findings that point to the same issue, even when different tools describe them in different ways. This creates a single, accurate record and removes extra tickets and inflated risk counts.

These capabilities are built into the platform’s core structure. A unified data layer brings together exposure, asset, and threat data. The AI layer turns that data into clear recommendations that teams can review and approve. The orchestration layer then pushes remediation forward through automation, alerts, and task routing.

The platform also keeps historical exposure and remediation data so teams can track how risk changes over time and show the impact of their actions. Dashboards highlight the most urgent issues, and no-code workflows automate response steps. The goal is to make exposure management a continuous process that produces clear, defensible outcomes.