Quantara AI Threat & Exposure Management is a platform that identifies, quantifies, and prioritizes cybersecurity exposures based on their financial impact to the business. Core Functionality: - Ingests data from SIEM, EDR, and cloud sources to create a unified view of the organization's exposure landscape - Maps vulnerabilities, misconfigurations, threats, and control gaps to specific applications and business units - Quantifies the financial impact of exposures using live data from industry incidents, attack vectors, and adversary intelligence - Prioritizes the subset of exposures (framed as the "1%") that represent the highest material risk - Triggers remediation workflows through integrations with ITSM, risk register, exception management, and issue management tools Use Cases: - Operational efficiency: directing limited security resources toward the highest-impact risks - Executive and board reporting: presenting exposure data in financial terms - Continuous risk visibility: delivering ongoing, defensible exposure intelligence - Remediation ROI tracking: measuring risk reduction per dollar spent on remediation The platform connects to a range of third-party tools including SIEM platforms (e.g., Splunk, Sentinel), EDR solutions (e.g., SentinelOne), cloud security tools (e.g., Wiz, AWS), and vulnerability management platforms (e.g., Tenable, Rapid7, Qualys), among others. Remediation actions are pushed through service integrations to track outcomes and return on investment.