Oak raised $60M to give every user, machine, and AI agent one identity system

What happened

Oak, an Israeli startup, raised $60 million in a seed funding round to launch a new identity platform designed for users, machines, and AI agents. The company emerged from stealth with a focus on solving a critical problem: most organizations cannot clearly track who or what has access to their systems at any moment. Oak’s platform aims to act as an “identity operating system” that spans humans and AI agents, granting unified control and visibility over access across digital environments.

Why it matters

Access management is a persistent security and operational pain point. Companies struggle to manage permissions securely and often do not have real-time insight into which machines, users, or automated AI agents are connecting to their systems. This problem gets worse as AI agents become more embedded in workflows, demanding their own distinct identities to prevent unauthorized access or breaches. By giving every actor—whether a person, device, or AI model—a unique, verifiable identity, Oak intends to tighten security, reduce risk of unauthorized access, and simplify audit and compliance efforts.

This also pressures legacy identity solutions that treat AI agents as extensions of users or rely solely on human-centric permissioning. Oak bets AI-driven systems require identity platforms built from the ground up to handle their dynamic and autonomous nature. Organizations adopting Oak’s approach can expect newer, AI-aware tools that align access controls with modern hybrid environments where humans and AI systems collaborate securely.

What to watch next

Pay attention to how Oak integrates with existing enterprise IT infrastructure and cloud platforms. Success depends on easy deployment alongside legacy identity and access management solutions. The startup’s ability to demonstrate AI agent identity use cases, such as automated workflows and decentralized AI systems, will reveal how urgently this approach is needed.

Funding size indicates strong investor belief in identity as a foundational technology for AI-native operations. Watch for early adopters in security-sensitive industries like finance, healthcare, or critical infrastructure. These sectors will uncover practical benefits or limitations faster, shaping adoption trends for AI-first identity platforms.

AI Quick Briefs Editorial Desk