CloudDefense.AI QINA vs Faddom Cloud Workload Security: Side-by-Side Comparison (2026)

CloudDefense.AI QINA

Security teams at mid-market and enterprise organizations need CloudDefense.AI QINA if they're tired of stitching together separate tools for code, container, and cloud security. The sub-60 second CI/CD scan completion and AI-powered reachability analysis actually reduce alert fatigue instead of just claiming to, and native support for SAST, DAST, API testing, and CSPM means you're not maintaining six different vendor relationships. Skip this if your team lacks the infrastructure maturity to act on multi-layered findings quickly; QINA will surface real vulnerabilities across your entire stack, but weak remediation workflows will leave you buried.

Faddom Cloud Workload Security

Mid-market and enterprise teams managing multi-cloud workloads across AWS, Azure, and GCP will get the most from Faddom Cloud Workload Security because its automatic discovery actually finds shadow assets and maps lateral movement paths before your compliance audit does. The platform covers five of eight NIST CSF 2.0 functions, with particular strength in continuous monitoring and asset management, which means you spend less time on manual inventory work and more on fixing things that actually matter. Skip this if you need CSPM or infrastructure-as-code scanning bundled in; Faddom stays focused on runtime protection and won't try to be your single pane of glass.