WithNetworks adds AI vulnerability correlation to withVTM platform
The platform groups linked security weaknesses and ranks them by risk, while also supporting SBOM checks and shadow API discovery.
WithNetworks said on October 22, 2026, that it is applying AI-based vulnerability combination correlation analysis in its withVTM platform, which it presented as an approach to security management for financial-sector customers, according to datanet.co.kr.
withVTM treats servers, services, APIs, packages and SBOM components as assets and builds an inventory ranked by asset importance. It supports the CycloneDX and SPDX SBOM standards and verifies supply-chain integrity through hash and signature checks.
The platform also identifies shadow APIs through network scanning without installing an agent. Its AI risk scoring, called VRS, combines asset importance, vulnerability scores, exploitation signals such as KEV, EPSS and public exploit code, and external exposure to rank threats.
Remediation runs through six stages — identification, analysis, judgment, remediation, verification and evidence — with audit records accumulated automatically.
Financial authorities recently ordered an emergency security inspection across the financial sector covering all externally exposed IT assets and services.
Quick answers
What does withVTM's AI risk scoring use to rank threats?
The VRS score combines asset importance, vulnerability scores, exploitation signals including KEV, EPSS and public exploit code, and external exposure.
Which SBOM standards does withVTM support?
The platform supports the CycloneDX and SPDX standards and checks supply-chain integrity with hash and signature verification.