AI identity security startup Oasis Security has raised $120 million in a Series B funding round as it looks to expand its platform focused on securing non-human and AI-driven identities. The funding highlights growing investor interest in cybersecurity solutions tailored for the rise of autonomous AI systems and machine identities.
The company specializes in “non-human identity management,” addressing security risks associated with service accounts, API keys, tokens, and AI agents that operate across cloud and enterprise environments. These identities are rapidly increasing in number and are emerging as a major attack surface for organizations adopting automation and AI technologies.
Oasis Security’s platform provides visibility, governance, and lifecycle management for these identities, enabling organizations to monitor access, detect anomalies, and automate remediation. By using analytics and policy-driven controls, it helps enterprises secure machine-to-machine interactions and reduce vulnerabilities across complex digital infrastructures.
The fresh capital will be used to accelerate product development, expand go-to-market operations, and strengthen the company’s global presence. A key focus will also be on enhancing capabilities to manage “agentic AI,” where autonomous systems can make decisions and execute tasks without direct human intervention.
The funding comes amid a broader shift in cybersecurity priorities, as enterprises move beyond traditional human identity protection toward securing machine and AI-driven access. With non-human identities often outnumbering human users and carrying significant privileges, companies are increasingly investing in solutions that provide real-time governance and control.
Oasis Security’s latest round positions it as a key player in the emerging AI identity security segment, which is gaining importance as organizations scale automation, cloud adoption, and AI-powered workflows. The company aims to become a foundational layer in securing the next generation of digital and AI-driven infrastructure.
