RiskSense offers a risk‑based vulnerability management and application security orchestration platform that enriches raw findings with real‑time intelligence and machine‑learning to assign adversarial risk scores. The solution aggregates data across infrastructure, endpoints and code, provides a unified dashboard for exposure tracking, automated remediation workflows, and compliance reporting, and integrates via APIs with asset discovery, patch‑management and attack‑surface tools.
Funding
$350M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations generate large volumes of vulnerability data from infrastructure and application assets, but lack a unified, risk‑based view that prioritizes findings by actual adversarial threat. This makes it difficult to focus remediation efforts, track exposure across the stack, and demonstrate security posture to stakeholders.
Solution
RiskSense delivers a full‑spectrum Risk‑Based Vulnerability Management (RBVM) and Application Security Orchestration and Correlation (ASOC) platform that enriches raw findings with real‑time vulnerability intelligence and human‑interactive machine‑learning models. The solution computes adversarial risk scores, ranks vulnerabilities by potential impact, and correlates them across infrastructure, endpoints, and application layers. A unified console provides end‑to‑end visibility of exposure, tracks remediation status, and generates compliance‑ready reports. Integrated APIs enable seamless data exchange with asset discovery, patch‑management, and external attack‑surface tools, allowing security and IT teams to automate prioritization and validate remediation outcomes.
Target Audience
Security operations centers, vulnerability management teams, and IT service management professionals in mid‑size to large enterprises across sectors such as financial services, healthcare, government, and manufacturing.
Features
- Risk‑based scoring engine that combines vulnerability intelligence, exploit data, and asset context to produce adversarial risk rankings.
- Application Security Orchestration and Correlation (ASOC) module that aggregates findings from code analysis, web scanners, and third‑party tools into a single view.
- Human‑interactive machine‑learning analytics that continuously refine prioritization based on real‑world threat activity.
- Centralized dashboard for exposure tracking, remediation workflow management, and automated compliance reporting (PCI, NIST, ISO).
- Native integrations with asset discovery, external attack surface management, and patch‑management solutions via RESTful APIs and FHIR‑compatible connectors.
- Automated self‑healing actions and patch orchestration that can trigger remediation scripts or ticketing systems.
- Cloud‑hosted analytics pipeline with role‑based access control and end‑to‑end encryption for secure data handling.
- Multi‑tenant architecture supporting enterprise‑wide deployment across diverse industry environments.