Cloud Security for the AI Era

Sweet Security delivers a runtime-powered cloud-native application protection platform (CNAPP) purpose-built for both traditional cloud workloads and AI applications. The platform provides complete visibility across every cloud environment by continuously mapping running services, data flows, and application behaviors in real time. Sweet Security is designed for cloud security teams that need to protect containerized, serverless, and agentic AI workloads with context-aware detection and response.

The platform uses lightweight runtime sensors to profile normal application behavior and detect anomalies, vulnerabilities, and active threats with minimal false positives. Sweet Security uniquely extends cloud security to cover AI-specific risks including model manipulation, data poisoning, and unauthorized agentic AI behavior. By combining cloud security posture management with runtime protection in a single platform, Sweet Security enables teams to prioritize risks based on what is actually running and reachable rather than theoretical exposure.