Orchid Security, a leader in identity-first security orchestration, today announced it has raised $36m in seed funding.
The round was co-led by Team8 and Intel Capital, supported by CapitalOne and industry leaders such as Jeff Williams (FireEye, Cisco, McAfee), Dror Davidoff (Aqua), and Zohar Alon (Dome9, Check Point).
Orchid Security is focused on simplifying the complex landscape of identity security management. Enterprises today manage an average of 1,200 applications across various environments, creating a fragmented array of identity and access management tools that are difficult to integrate and maintain.
Orchid’s platform aims to streamline this process, providing continuous discovery and assessment of authentication and authorization flows across all applications, thus ensuring a consistent identity security posture.
The newly acquired funds will be utilized to accelerate the development of Orchid’s platform, expand its sales and support teams, and boost its marketing efforts. The company is set to scale its innovative solutions across multiple sectors including finance, manufacturing, healthcare, and retail, with customers like Costco and Repsol already on board.
Additional insights into the company’s future plans reveal a strategic focus on using Large Language Models (LLMs) to enhance the platform’s capability to manage identity systems more effectively. These models are designed to understand and rationalize identity flows in applications, aiding in their seamless integration into enterprise systems without the need for manual coding.
“Orchid greatly improves our speed to delivery for business units,” Jon Raper, Costco’s CISO, noted. His experience highlights the significant efficiency gains from implementing Orchid’s solutions, with a transition from predominantly manual processes to a predominantly automated system that drastically reduces onboarding times for applications.
Roy Katmor, Co-Founder and CEO of Orchid Security, explained the core advantages of their technology: “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.”
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