Stream.Security

Stream.Security, initially founded as Lightlytics in 2020, operates in the cloud security market, providing a real-time threat and exposure management platform for enterprises. The company was established by CEO Or Shoshani, CPO Stav Sitnikov, and CTO Liran Roffman, a team of seasoned engineers aiming to help organizations confidently manage their cloud infrastructure. Shoshani previously founded Cigol, which was acquired by Mellanox, where Sitnikov was the former head of tech marketing. Roffman held senior roles at cybersecurity firm Imperva.

The firm targets enterprise clients across various sectors, including finance, industrial energy, e-commerce, and technology, counting Sony Group Corp., RingCentral Inc., and TC Energy Corp. among its customers. Its business model is centered on a Software-as-a-Service (SaaS) platform that generates revenue through subscriptions. The company has demonstrated significant market traction, reporting over 400% growth in the past year and securing a total of $55 million in funding through multiple rounds, including a $30 million Series B led by U.S. Venture Partners. This capital is intended for research and development, global market expansion, and enhancing customer support initiatives.

The core of Stream.Security's offering is its proprietary "Cloud Twin" technology. This technology creates a continuously updated, dynamic model of an organization's entire multi-cloud infrastructure, including configurations, activities, and user behavior. By simulating the cloud environment, the platform provides security operations (SecOps) teams with real-time visibility into potential attack paths, the blast radius of threats, and vulnerabilities. This approach allows for the precise detection of threats and quicker response times, moving beyond traditional periodic scanning methods. The platform integrates with existing DevOps and SecOps workflows and tools, including support for AWS, Azure, and Google Cloud Platform. Key features include generative AI-powered remediation suggestions, real-time attack path detection upon any configuration change, and automated investigation to reduce mean time to respond (MTTR). This allows teams to analyze and patch flaws within a single platform, reducing the complexity of using separate SIEM, threat detection, and configuration management tools.

Keywords: cloud security, cloud detection and response (CDR), threat and exposure management, SecOps, Cloud Twin, real-time security, cloud infrastructure modeling, attack path analysis, multi-cloud security, SaaS, vulnerability management, threat remediation, DevOps security, cloud compliance, cybersecurity, enterprise security, cloud-native security, threat intelligence, risk management, security automation