Vulnerability Management Programs for Regulated Systems

Vulnerability management programs in regulated environments must satisfy requirements across multiple overlapping frameworks. PCI DSS v4.0 Requirements 6.3 and 11.3 require both a process to identify and address security vulnerabilities and authenticated internal vulnerability scanning at least quarterly, plus external scanning by a PCI SSC-approved scanning vendor (ASV). DORA Article 13 requires ICT asset vulnerability identification and remediation as part of the ICT security management framework. HIPAA §164.308(a)(1) requires a risk analysis that identifies vulnerabilities to ePHI. NIST SP 800-40r4 (Guide to Enterprise Patch Management) and CIS Control 7 (Continuous Vulnerability Management) define the operational framework. The US CISA Known Exploited Vulnerabilities (KEV) catalog, which mandates Federal agencies remediate listed CVEs within binding operational directive BOD 22-01 timelines, is increasingly used as a prioritization baseline by regulated commercial entities.

Engineering a compliant vulnerability management program requires five integrated components. First, asset inventory integration: scanners must know the complete asset population — physical servers, VMs, containers, cloud instances, and network devices — to avoid coverage gaps. Integration with the CMDB or cloud asset inventory API is essential. Second, authenticated scanning: unauthenticated scans miss 40–60% of software vulnerabilities; PCI DSS and DORA both require authenticated scanning of managed assets. Third, risk-based prioritization: raw CVSS scores alone are insufficient for regulated environments; SSVC (Stakeholder-Specific Vulnerability Categorization) or EPSS (Exploit Prediction Scoring System) models, combined with asset criticality from the CMDB, enable prioritization that reflects actual exploitation likelihood and business impact. Fourth, SLA tracking: critical vulnerabilities (CVSS ≥ 9.0 or on CISA KEV) are typically required to be remediated within 15 days; high (7.0–8.9) within 30 days; medium within 90 days, with exception processes for systems requiring change management approval. Fifth, evidence generation: automated reporting of scan coverage, finding counts by severity, SLA compliance rates, and exception inventories for auditor consumption.

Container and cloud-native vulnerability management introduces specific tooling requirements. Traditional network-based scanners (Nessus, Qualys) cannot assess container image vulnerabilities before deployment; image scanning must be integrated into the CI/CD pipeline using tools such as Trivy, Grype, or Prisma Cloud Compute, scanning against CVE databases and CIS Docker/Kubernetes Benchmarks. Runtime vulnerability detection in Kubernetes requires CRI-level scanning (Falco, Tetragon) to detect exploited vulnerabilities that appear as anomalous process execution. Cloud-native vulnerability management must also cover serverless function dependencies, infrastructure-as-code templates (IaC scanning with Checkov, tfsec), and cloud service misconfigurations catalogued by the CSP's native security posture management tools (AWS Security Hub, Azure Defender for Cloud, GCP Security Command Center).

We design and operate vulnerability management programs that integrate authenticated scanning, CMDB-backed asset coverage validation, EPSS/SSVC-based risk prioritization, and SLA compliance tracking. Our platforms cover traditional infrastructure, container images, IaC templates, and cloud configurations, with automated evidence reporting aligned to PCI DSS, DORA, and HIPAA audit requirements.

Compliance-Native Architecture Guide

Design principles and a structured checklist for building software that is compliant by default — not compliant by retrofit. Covers data architecture, access controls, audit trails, and vendor due diligence.