
Quantara AI
Quantara AI provides an AI-native platform for cyber risk quantification and prioritization.
- Based in
- Eagle, United States
- Ownership
- Private
About Quantara AI
Quantara AI sells an AI-native cyber risk platform that turns security signals into financial impact. It quantifies cyber risk in dollars and prioritises exposures by return on risk reduced. The platform uses specialised AI agents to connect internal and external data, including threat and business information, and produce board-ready reporting. It serves CISOs, CFOs, CEOs, boards, CROs, risk and GRC teams, and security operations and compliance teams. The company says its approach differs by focusing on the small share of risks that matter most to leadership, rather than on volume or severity scores. It also offers continuous cyber risk quantification, threat and exposure intelligence, emerging threat analytics, continuous cyber assessment, and executive reporting. Quantara AI is based in the United States and was founded by Harish Barnela, who is the CEO.
Products
- Risk Intelligence EngineSurfaces the few risks that deserve leadership attention from thousands of findings.
- Dynamic Cyber Risk Quantification & ROIAlways-on quantification of risk in dollars with return on investment proof.
- Cyber Threat & Exposure IntelligenceProvides business-aligned visibility into the most important risks.
- Emerging Threats Analytics & Industry BenchmarkingDelivers outside-in intelligence tailored to industry and business profile.
- Continuous Cyber AssessmentAutomated assessment of controls aligned with ROI and continuous trust.
- Executive Reporting & Decision ManagementAutomated, customisable reporting for risk committees and leaders.
Ownership and deals
Acquisitions come from SecurityWeek's monthly M&A round-ups from 2021 onwards, from Cybersecurity Ventures' quarterly M&A reports for 2020, and a few from Wikipedia lists. Funding rounds from 2022 onwards come from Return on Security's weekly Security, Funded newsletter. These are dated to the month. A few deals added from the news are dated to the day. Smaller deals may be missing. Amounts are in US dollars.