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Sweet Security

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(2)4.3/5

Sweet Security is a runtime platform that enforces security for AI and cloud. Most tools stop at visibility, posture and alerts: they flag what might be wrong but never stop what is actually happening, so the team sees the alert only after a workload has spawned a shell or an agent has reached the data. Sweet takes the opposite approach and validates real attack paths, reasons about live behavior and blocks malicious activity inline. This matters most as autonomous AI agents move into production. Agents take on identities, access sensitive data and act on their own, which makes the running system, not the source code, where security is won or lost. Sweet protects cloud-native workloads and AI agents on one platform, powered by a runtime reasoning layer that learns the intended behavior of every application, workload, identity and agent, then blocks anything that deviates in real time. Driven by the Sweet Learning Loop of Attack, Fix and Defend, Sweet deploys with lightweight sensors across Linux and Windows on all major clouds and Kubernetes, goes live in hours and analyzes over 1 billion runtime events per day. Every application and AI agent does exactly what it was built to do and nothing more.

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