Sweet Security
AI NativeTransforming Cloud Security. Defining AI Security.
Est 2023|Valuation $253M|Raised $94.9M
Published Sep 26, 2026
The vendor publishes customer case studies (vendor-authored). Examples include vendor-authored materials describing deployments.
Gartner Peer Insights and AWS Marketplace contain review content referencing the product; G2/TrustRadius listings for this product were not unambiguously identified in the public searches performed for this report.
A Gartner Peer Insights review snippet described:
A recurring limitation noted in reviews is the absence of a public REST API, which can affect automation, integration, and reporting workflows.
AWS Marketplace reviews include comments describing usage for vulnerability management in AWS and SOC use. Some customer comments assert the product performed favorably versus native AWS detectors in specific red-team tests; such claims are customer-reported and context-dependent.
Although direct churn narratives were not widely present in the materials reviewed, plausible deal-breakers include:
These case studies are vendor-published and may include selective metrics. They generally do not disclose experiment design, comparison baselines, total cost of implementation, or negative outcomes. Treat them as qualitative context and validate with reference calls and pilot metrics.
Based on review snippets and CNAPP buying patterns, the product appears to fit mid-market to enterprise organizations with a substantial cloud footprint.
Cloud-forward industries such as SaaS, fintech/insurtech, and data platforms are plausible targets; vendor case studies reflect selected examples from these verticals.
Sweet primarily targets cloud-native organizations and those in mid-transformation to cloud environments.
The vendor describes its positioning as a runtime-oriented CNAPP focused on detection and response in production workloads rather than agentless or configuration-only approaches.
Get a comprehensive analysis of Sweet Security including market position, competitive landscape, adoption trends, and peer benchmarks.
Download full report →Sweet Security is a runtime-focused Cloud-Native Application Protection Platform (CNAPP). The product aims to combine cloud security capabilities—such as runtime detection/response, workload protection, vulnerability context, identity signals, and API/AI-related security—into a single platform oriented around runtime activity rather than only configuration or build-time scanning.
The product uses an eBPF-based sensor to obtain runtime visibility with an emphasis on minimizing performance impact.
Sweet offers an investigation feature (SweetX) designed to assemble attack context and support remediation workflows; vendor-published performance and mean-time-to-resolution (MTTR) figures should be validated independently.