Sweet Security Secures $75M to Lead AI Cloud Defense

In a defining moment for the cloud security market, Sweet Security has announced a $75 million Series B round, marking one of the most significant investments in runtime-focused CNAPP technology this year. This milestone round underscores investor confidence in Sweet’s breakthrough approach: a unified Runtime CNAPP (Cloud-Native Application Protection Platform) built specifically for the new era of cloud-native architectures and AI-driven applications.

Sweet’s momentum has been nothing short of extraordinary. Over the past year, the company has achieved 6x ARR growth, expanded its enterprise customer base by 10x, and introduced a new runtime-first architecture that bridges the gap between cloud security, AI security, and real-time threat detection.

The platform’s ability to secure everything from models and agents to full-scope AI pipelines is redefining what modern security means in a rapidly evolving technological environment.

What Is Sweet Security?

Sweet Security is an emerging category leader delivering a unified Runtime CNAPP designed for today’s hybrid, multi-cloud, and AI-centric infrastructures. As organizations embrace distributed architectures and integrate AI agents into production workflows, traditional cloud security tools struggle to deliver real-time context or prevent runtime threats.

Sweet solves this through deep runtime visibility that spans cloud environments, containers, serverless functions, and now AI models and agents, covering the full AI lifecycle from training to inference.

The platform proactively detects abnormal behavior, identifies vulnerabilities in real time, and provides enterprises with the ability to enforce security policies across both cloud workloads and AI systems. This ensures organizations gain the protection they need without slowing innovation or development velocity.

Their runtime-first approach has already positioned Sweet as a trusted partner for global enterprises navigating aggressive cloud adoption timelines and emerging AI attack surfaces.

Solving Cloud and AI Security’s Most Critical Blind Spot

Traditional CNAPP tools excel in scanning configurations, posture management, and pre-runtime checks, but they fail to catch dynamic, real-time risks that emerge during operations.

Sweet Security fills this critical gap with a unified runtime layer that monitors, analyzes, and defends cloud and AI systems as they run. This includes detection of malicious lateral movement, model tampering, anomalous agent behavior, data leakage attempts, and unauthorized access to AI assets.

By delivering full-spectrum runtime protection, Sweet transforms cloud and AI security from reactive to predictive, empowering security teams to stay ahead of threats that evolve in seconds.

What’s Powering Sweet’s Runtime CNAPP

Sweet Security stands out due to its ability to unify cloud workload protection and AI runtime security in a single platform. Core capabilities include:

• Real-time visibility across cloud-native and AI-driven environments
• Behavioral analytics and anomaly detection for models, workloads, and agents
• Full lifecycle protection for AI, from training pipelines to deployed agents
• Automated policy enforcement and runtime controls across distributed environments
• Seamless integration with enterprise cloud ecosystems and security operations

This architecture gives organizations the clarity, agility, and control needed to secure rapidly scaling cloud and AI operations.

Looking Ahead

With its $75M Series B funding, Sweet Security plans to expand global go-to-market operations, accelerate product innovation, and deepen support for securing AI workloads at unprecedented scale. The new capital will also fuel engineering investments aimed at strengthening Sweet’s unified runtime architecture for the next wave of cloud and AI adoption.

Execweb congratulates Dror Kashti, Eyal Fisher, Orel Ben Ishay, and the entire Sweet Security team on this major milestone. This Series B round not only validates their vision but marks a turning point for the cloud and AI security ecosystem as a whole.