Orchid raises $36 million Seed round to automate enterprise identity security with AI
Orchid raises $36 million Seed round to automate enterprise identity security with AI
Startup leverages AI-powered orchestration to streamline identity management for Fortune 500 enterprises.
Orchid Security, a company developing an identity-first security orchestration platform, announced on Tuesday that it has raised $36 million in Seed funding. The round was co-led by Team8 and Intel Capital, with participation from Capital One and industry leaders, including Jeff Williams (FireEye, Cisco, McAfee), Dror Davidoff (Aqua), and Zohar Alon (Dome9, Check Point).
Orchid’s identity security platform leverages large language models (LLMs) to unify and secure complex identity environments across enterprises. It enables organizations to achieve full visibility, consistent management, and automated, risk-based identity oversight across on-premises and cloud applications. The platform aims to help enterprises reduce costs and maintain compliance across their digital infrastructure by continuously discovering both self-hosted and SaaS applications, assessing their native identity controls and gaps, and remediating compliance and cyber exposure from a single point of control.
The founding team—Roy Katmor, Robert Wiseman, and Ido Kelson—brings extensive expertise in cybersecurity and identity management. Katmor co-founded enSilo, which was acquired by Fortinet, while Wiseman has led identity-focused initiatives at Team8 and Claroty. Kelson is also a co-founder of enSilo.
According to the company, it is already working with leading enterprises worldwide across finance, manufacturing, healthcare, and retail. Its customers include Fortune 500 companies such as Costco and Repsol.
On average, enterprises manage 1,200 different applications hosted on-premises, in the cloud, or delivered as SaaS. They must navigate a fragmented landscape of identity and access management tools, adapt to evolving identity protocols, comply with changing regulatory requirements, and safeguard their data against a dynamic threat landscape. This environment has made it nearly impossible for organizations to assess and maintain a strong and consistent identity posture. According to data from a leading analyst firm, enterprises are projected to spend approximately $5.25 billion on integration, implementation, optimization, and other identity and access management-related services in 2025.
Orchid’s identity-first security orchestration platform continuously discovers both self-hosted and SaaS applications, assesses their authentication and authorization flows to highlight exposures, and facilitates remediation, ensuring a consistent and standardized identity posture across an organization’s ecosystem. Unlike traditional solutions that rely on manual, lengthy, and costly processes, Orchid's automated platform provides deep, application-centric visibility across all environments, offering a comprehensive and real-time approach to managing identity security.
LLMs play a pivotal role in the platform by providing essential identity-related context and reasoning.
“The latest LLM models include code recognition and reasoning skills that enable the understanding of identity flows in running applications without requiring access to the code or input from application owners. When prompted correctly, these models go beyond data processing—they comprehend context, make inferences, and deliver accurate decisions. They also provide clear justifications, ensuring the platform's logic remains coherent and transparent,” said Roy Katmor, co-founder and CEO of Orchid Security. “With advancements in AI and LLM technology, we can now offer a solution that automatically assesses identity capabilities and exposures—considering target regulations, frameworks, and security best practices—offers remediations, and helps organizations elevate and ensure consistency in their identity security posture, all while significantly reducing costs and time.”
