Sweet Security vs Aqua Security AI
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
Sweet Security
Runtime CNAPP unifying cloud and AI-workload defense
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Aqua Security AI
Cloud-native security platform with AI-driven risk triage
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| RECATOOLS Score | 7 / 10 | 7 / 10 |
| Capability | ||
| Value for money | ||
| Ease of use | ||
| ASEAN readiness | ||
| API quality | ||
| Pricing | Paid | Enterprise |
| Free tier | — | — |
| Paid from | — | — |
| Has API | ✗ | ✓ |
| Open source | ✗ | ✓ |
| Free to use | ✗ | ✗ |
| Users | — | — |
| Founded | — | 2015 |
| Maker | — | — |
| Verdict | Sweet's bet is that cloud security should start at runtime, not in a static scan, and it packages CNAPP capabilities around a live sensor that watches workloads as they actually behave. It claims to cut alert noise to 0.... |
A mature CNAPP with real open-source credibility behind it — Trivy alone carries 37,000 GitHub stars, and kube-bench and Tracee are genuinely widely used, not marketing props. Aqua covers containers, Kubernetes, serverle... |
| Full review → | Full review → |
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.