Sweet Security Raises $75M and Unveils Unified Runtime CNAPP for Cloud and AI Security

Sweet Security, a leader in Runtime CNAPP and AI security solutions, today announced it has raised $75 million in Series B funding led by Evolution Equity Partners, with participation from Munich Re Ventures, Glilot Capital Partners, and Key1 Partners, bringing the company’s total funding to $120 million. The investment will accelerate global expansion and product innovation to meet fast growing enterprise demand for real-time protection across the entire cloud, AI systems, and production environments. Sweet also introduced new AI security capabilities that secure models, agents, and the full AI lifecycle, further strengthening its leadership in the emerging Runtime CNAPP and AI security market.

As the CNAPP market shifts toward runtime-first protection, Sweet has emerged as the preferred platform among global enterprises, displacing incumbent vendors and redefining how organizations secure production environments. The funding follows a year of hypergrowth for Sweet, marked by a sixfold increase in ARR and a tenfold rise in enterprise customers, including multiple Fortune 1000 organizations. The company’s leadership is reinforced by a newly granted U.S. patent, covering features like training an LLM to identify anomalous log sessions – dramatically reducing noise and exposing complex, multi-step attacks that traditional rule-based systems miss.

“Sweet Security stands out in one of the most competitive segments of cybersecurity,” said Richard Seewald, Founder and Managing Partner at Evolution Equity Partners. “The company’s ability to combine real-time cloud protection with AI-powered intelligence is unlike anything else in the market – redefining how enterprises secure the modern cloud and go about securing their AI environments.”

Redefining the CNAPP Market While Pioneering the AI Security Market

As agentic AI becomes more prominent in organization workflows and gains access to business critical data sources, it brings with it a host of new risks – from lacking even simple visibility through intricate vulnerabilities and emerging kinds of attacks, not found in traditional microservices.

 To solve this gap, Sweet offers an AI Security Platform (AISP), which gives AI teams the ability to discover every model and agent, understand how they interact, and identify misconfigurations or over-permissioned access before they create risk. Building on its runtime-powered cloud protection, Sweet now brings the same comprehensive insight and control to AI environments:

• Map all AI agents, LLM servers and services using AI to expose shadow AI, understand what your agents do and assess exposure and risk
• Detect and stop adversarial attacks agents such as prompt injection through AI-DR
• Analyze agent behavior in real time, flagging abnormal activity and blocking disallowed actions
• Assess the posture of your AI infrastructure and suggest ways to harden it; enforce guardrails on your agents without impacting development velocity

The result is organizations where AI teams can build, deploy, and operationalize AI systems that are both high-performing and resilient by design.

 “No one else approaches runtime cloud and AI protection the way we do,” said Dror Kashti, co-founder and CEO of Sweet Security. “Cloud attacks no longer follow predictable patterns – they evolve dynamically, just like the AI systems enterprises are now building. Protecting those environments demands real-time understanding of how models, agents, and workloads behave – not static snapshots of configurations.”

Sweet Security has built a leading runtime cloud security offering, extending robust protection across cloud, data, workloads, and AI,” said James Berthoty, Latio Tech. “This enables teams to secure both traditional and AI applications running in the cloud.”

Credit: Ben Itzhaki