Orchid Security, an emerging leader in identity-first security orchestration, announced it has raised $36 million in seed funding, enabling the company to continue its work using Large Language Models (LLMs) to address the longstanding challenge of managing fragmented identity systems in large enterprises.
With this major infusion of seed capital, Orchid is poised to accelerate the development of its platform, scale up its sales and support teams, and build its marketing engine.
The funding round was co-led by Team8 and Intel Capital, with the support of CapitalOne and industry leaders including Jeff Williams (FireEye, Cisco, McAfee), Dror Davidoff (Aqua), and Zohar Alon (Dome9, Check Point). Orchid is already working with leading enterprises worldwide, across finance, manufacturing, healthcare, and retail. Its customers include Fortune 500 companies, such as Costco and Repsol.
According to the company, Orchid’s platform is designed to tackle a fundamental problem in identity security—its inherent complexity.
On average, enterprises handle 1,200 different applications hosted on-premise, in the cloud, or delivered as SaaS. They must navigate a highly fragmented landscape of identity and access management tools that routinely evolve, keep up with identity protocols that continue to improve, remain compliant with changing regulatory requirements, and protect their data amid a dynamic threat landscape, the company said.
Orchid’s Identity-first Security Orchestration platform continuously discovers both self-hosted and SaaS applications, assessing their authentication and authorization flows to highlight exposure and facilitate remediation, ensuring a consistent, standardized posture through the organization’s identity stack.
Unlike traditional solutions, which rely on manual, lengthy, and costly processes, Orchid's automated platform offers deep application-centric visibility across all environments, delivering a comprehensive, real-time approach to managing identity security. This positions Orchid as a dynamic, scalable, and enterprise-focused alternative to current manual solutions, which often take years to implement and quickly become outdated with any change.
LLMs play a pivotal role in this innovative technology by providing essential identity-related context and reasoning. This empowers the solution to evaluate an application’s inherent identity flows and validate the coherence of those assessments, all without requiring access to or changes in the application code, according to the vendor.
“The latest LLM models include code recognition and reasoning skills that enable understanding of identity flows in running applications without requiring code access or input from the 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 of their identity security posture, all while significantly reducing cost and time."
For more information about this news, visit www.orchid.security.