Sweet Security Raises $75M to Advance Runtime CNAPP and AI Protection

Sweet Security has raised $75 million in Series B funding to accelerate its global expansion and strengthen protection for enterprise cloud and AI environments. The round, led by Evolution Equity Partners with participation from Munich Re Ventures, Glilot Capital Partners, and Key1 Capital, brings total funding to $120 million. The company is focused on meeting growing demand for real-time protection across production workloads and AI systems.

Over the past year, Sweet has seen rapid adoption as enterprises shift toward runtime-first protection models. The company’s platform has gained traction for providing continuous visibility and defense during runtime, where active workloads and data reside, reducing risk across hybrid and multi-cloud deployments. A newly granted U.S. patent also underscores its innovation, enabling detection of anomalies in log sessions through LLM-driven analysis that helps uncover multi-step attacks often missed by conventional tools.

Sweet is extending that same runtime approach to AI environments, where new forms of risk are emerging. Its AI Security Platform helps organizations map AI models and agents, detect hidden instances of shadow AI, and identify over-permissioned access before issues escalate. It also monitors real-time behavior to flag anomalies or disallowed actions, giving AI teams a clearer view of risk and compliance without slowing development.

By unifying runtime cloud and AI protection, Sweet Security aims to help enterprises operationalize secure innovation. Its platform combines identity, posture, and workload protection into one runtime-driven framework, helping teams strengthen resilience across both traditional and AI-powered systems.