CloudDefense.AI QINA vs Sweet Security Runtime CNAPP: 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.

Sweet Security Runtime CNAPP

Mid-market and enterprise teams running AI workloads need Sweet Security Runtime CNAPP because its purpose-built LLM actually deprioritizes noise instead of just generating more alerts. The vendor covers four of six NIST CSF 2.0 core functions, with particular strength in DE.CM and DE.AE; the AI stack security monitoring for models, agents, and architecture fills a gap most runtime platforms ignore entirely. Skip this if you need broad CSPM or vulnerability scanning in the same tool; Sweet Security is deliberately focused on runtime detection and AI-specific threats, not asset inventory or compliance reporting.