QBRIC.ai
QBRIC provides a unified cyber risk intelligence platform that translates technical vulnerabilities and threat data into financial exposure estimates, prioritized actions, and board-ready reporting. The platform uses seven specialized AI agents across six integrated microservices to automate workflows, including moving from a published vulnerability to validated detection coverage in under 15 minutes.
- Cybersecurity
- Data & Analytics
- Artificial Intelligence
- AI Agents
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Security teams generate vast amounts of data from scanners, threat feeds, and SIEM platforms, but struggle to determine which findings create the greatest business risk, which vulnerabilities deserve immediate attention, and how to communicate technical risk to executives and board members. This disconnect leads to misallocated resources, delayed action, and a lack of defensible, business-aligned cybersecurity decisions.
Solution
QBRIC provides a unified platform that connects actuarial risk quantification, threat intelligence, vulnerability prioritization, threat hunting, detection engineering, and executive reporting into one coordinated workflow. The platform translates technical findings into financial exposure estimates, combines technical severity with threat activity and business context to prioritize action, and automates repetitive research, detection development, and reporting tasks. Seven specialized AI agents work across six integrated microservices to move from a published vulnerability to validated detection coverage in under 15 minutes. The same underlying risk data is presented through six audience-specific dashboards, ensuring analysts, security leaders, and executives all work from a consistent, decision-ready view.
Target Audience
Primary customers are cybersecurity teams, security operations centers, and risk management leaders in mid-to-large enterprises who need to quantify cyber risk in financial terms, prioritize remediation efforts, and communicate effectively with executives and boards.
Features
- Actuarial Cyber Risk Intelligence that translates technical exposure into measurable financial context for prioritization and investment decisions
- Seven specialized AI agents with defined roles, including Risk Analyst, Hypothesis Agent, Intel Agent, Sigma Translator, Detection Engineer, Hunt Analyst, and Communications Agent
- Automated workflow that takes a published vulnerability to validated detection coverage in under 15 minutes
- Detection Engineering capabilities that create, translate, test, and improve detection logic for supported SIEM environments
- Six unified dashboards (Executive Risk, Operational Risk, Threat Hunting, Detection Engineering, Intelligence, Communications) presenting the same underlying risk data
- MITRE ATT&CK mapping for hypothesis development, threat hunting, and detection coverage analysis
- Human-governed automation where AI analyzes and recommends, but customers determine when human review or approval is required