Sweet Security announced a $75 million Series B round and the launch of what it calls the first unified runtime CNAPP for cloud and AI security. The Tel Aviv company said the financing, led by Evolution Equity Partners with participation from Munich Re Ventures, Glilot Capital Partners, and Key1 Capital, brings total funding to $120 million. The new capital will accelerate global expansion and product development as enterprises seek real-time protection across cloud, AI systems, and production environments.
Funding and Growth
The raise follows a year of hypergrowth that the company says included a sixfold increase in ARR and a tenfold expansion in enterprise customers. Multiple Fortune 1000 organizations are now on the platform, according to the announcement, with Sweet displacing incumbent vendors as buyers move to runtime-first protection. Evolution Equity Partners founder Richard Seewald said the firm backed Sweet because it combines real-time cloud defense with AI-driven intelligence to reshape how enterprises secure modern cloud and AI environments.
Product Launch and Patent
Alongside the round, Sweet introduced new AI security capabilities designed to protect models, agents, and the full AI lifecycle. The company highlighted a newly granted U.S. patent covering techniques that train an LLM to identify anomalous log sessions, aiming to cut noise and surface complex, multi-step attacks missed by rules-based tools. Executives position the release as an extension of Sweet’s runtime coverage, giving security teams continuous insight into how workloads and AI components behave in production.
AI Security Platform
Sweet’s AI Security Platform is built to discover every model and agent, map interactions, and flag misconfigurations or over-permissioned access before they create risk. The company says the platform can expose shadow AI, detect adversarial techniques such as prompt injection through its AI-DR capabilities, and analyze agent behavior in real time to block disallowed actions. It also assesses the posture of AI infrastructure, recommends hardening steps, and enforces guardrails without hampering developer velocity.
Market Context and Positioning
Management argues that cloud attacks and AI-driven workflows now evolve too dynamically for static configuration snapshots to suffice. Co-founder and CEO Dror Kashti said effective protection demands runtime understanding of models, agents, and workloads, not periodic checks. Industry observer James Berthoty of Latio Tech described Sweet as extending robust protection across cloud, data, workloads, and AI, enabling teams to secure traditional and AI applications under one runtime-first approach.
Platform Scope and Company Background
Sweet’s runtime CNAPP unifies runtime context with advanced AI analytics to deliver real-time detection and response, vulnerability and posture management, identity threat protection, and API security. The company reports that its patented LLM-driven detection engine reduces alert noise to 0.04 percent and helps organizations achieve faster mean time to response while lowering operational risk. Sweet Security was founded by CEO Dror Kashti, CPO Eyal Fisher, and VP R&D Orel Ben Ishay, and is backed by Evolution Equity Partners, Munich Re Ventures, Glilot Capital Partners, Key1 Capital, CyberArk Ventures, and angel investors.
By pairing new AI defenses with its runtime-first CNAPP, Sweet Security is aiming to consolidate cloud and AI protection in a single platform. The Series B provides resources to scale that strategy as enterprises standardize on real-time controls for production environments. With rapid revenue growth, expanding enterprise adoption, and fresh intellectual property, the company is positioning for a larger share of the evolving cloud and AI security market.