Sweet Security
Runtime-first cloud and AI security platform that unifies cloud detection and response with application and AI workload protection.
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Sweet Security focuses on protecting cloud workloads at runtime, correlating signals across cloud, container and application layers to detect and respond to active threats rather than only posture issues.
In November 2025 it raised a $75M Series B and extended the platform to cover AI models and agents.
Innovation Matrix Assessment
Rapid expansion from runtime cloud to AI workload security within a few years.
Runtime context helps prioritize real exposure over theoretical findings.
$75M Series B led by Evolution Equity (total $120M); company reports 6x ARR growth.
Runtime-centered CNAPP is a real alternative to posture-first tools, though competitors are converging.
No independent tests or named incident evidence located; relies on vendor claims.
Runtime visibility for cloud and AI workloads should stay relevant.
Why CISOs Should Care
Narrows cloud alert volume to threats active in production and extends coverage to AI workloads.
What Makes It Different
Starts from runtime telemetry instead of scanning posture first.
The Matrix Verdict
63/100 — INCREMENTAL INNOVATOR
Sweet Security is an Incremental Innovator with strong early momentum. Efficacy evidence is mostly vendor-reported, which holds the score back.
Editorial Note: Claims vs. Verified Findings
ARR and customer growth figures are from the company's press release. Funding and investors are press-confirmed.
Sources
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