Brinqa, a leader in data-driven exposure management, has introduced BrinqaIQ, a new AI-powered feature designed to make cyber risk data easier to access, interpret, and act upon across large and complex organizations. Developed on the Brinqa Cyber Risk Graph—the company’s highly scalable and flexible exposure management platform—BrinqaIQ reinforces Brinqa’s mission to unify security data, accelerate remediation, and provide executives with reliable insights for confident decision-making.

Managing exposure at scale has become increasingly challenging for enterprises, which must handle millions of assets, billions of security findings, and teams spread across cloud, infrastructure, and applications. Brinqa addresses this by offering a centralized source of truth that consolidates security data from any source without compromising accuracy. The Brinqa Platform’s extensive integration ecosystem allows it to ingest, normalize, and correlate data, producing a comprehensive, business-focused view of organizational risk.

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BrinqaIQ extends the capabilities of the Brinqa Platform by providing an intuitive interface for interacting with the Cyber Risk Graph. At its heart is a conversational AI assistant that enables both technical and non-technical users to engage with security data in plain language. Using Brinqa’s proprietary Brinqa Query Language (BQL), BrinqaIQ translates natural-language questions into validated queries, streamlining data access, improving trust, and delivering actionable insights instantly.

Key features of BrinqaIQ include:

Conversational Documentation: Users can ask questions in everyday language and receive immediate guidance from indexed documentation, eliminating the need to sift through manuals or knowledge bases.

Threat Intelligence Insights: Teams can interact with Brinqa’s threat feeds to explore CVEs, exploitability, or compliance information. BrinqaIQ makes threat data more digestible and actionable for security teams.

Natural-Language Queries for the Cyber Risk Graph: Previously, generating insights required writing complex queries. BrinqaIQ allows users to query the graph in plain language, automatically generating and validating the queries. Results can be viewed in the chatbot, saved, or executed in the reporting interface, helping teams make faster, informed remediation decisions while mitigating knowledge gaps when power users leave.

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“Enterprises face unprecedented complexity in managing exposures, scaling from tens of thousands to millions of assets and billions of findings,” said Brad Hibbert, Chief Strategy Officer at Brinqa. “BrinqaIQ was developed to simplify access to the Cyber Risk Graph. By introducing conversational AI, we’re lowering barriers, speeding adoption across teams, and enabling faster, transparent risk-reduction decisions.”

BrinqaIQ is the first in a series of AI-driven enhancements aimed at improving user experience through intuitive dashboards and simplified reports. Out-of-the-box interactive dashboards offer clear visibility into risks and remediation progress, while personalized views, snapshots, and organizational tools allow teams to align workflows with their unique needs. Future updates will continue to expand AI capabilities across the platform, reinforcing Brinqa’s leadership in enterprise exposure management.

Industry Reactions:

“We’re thrilled to collaborate with Brinqa to enhance developer productivity, efficiency, and scalability in our exposure management efforts,” said Adi Chikkala, Senior Director of Operations, Guidewire.

“BrinqaIQ represents the next evolution of exposure risk management,” noted Thomas Krane, Managing Director at Insight Partners. “Combining deep expertise with AI-driven innovation, Brinqa is making complex security challenges more accessible at scale, setting a new benchmark for cybersecurity excellence.”

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