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Token Security Raises $20M Series A to Scale AI-Powered Authentication Platform

Token focuses on the resources being accessed first – instantly uncovering who is accessing what, where you are at risk, and how to stay secure.

Token Security

Itamar Apelblat CEO Token Security (LinkedIn)

In a meteoric rise, Israeli startup Token Security has secured a staggering $20 million in Series A funding—just eight months after breaking cover. Spearheaded by Notable Capital and bolstered by existing investor TLV Partners, the round also saw backing from cybersecurity titans, including executives from Palo Alto Networks, CrowdStrike, Check Point, and Venafi. This latest infusion catapults Token’s total funding to $27 million as it continues to redefine non-human identity security. Among its growing roster of high-profile customers: HPE and Hibob.

Founded in 2023, Token Security enables organizations to identify, manage, and protect every non-human identity within their infrastructure. The platform seamlessly integrates with a company’s entire technology stack, including existing identity providers, to map all machine credentials—whether in the cloud, SaaS applications, or on-premises. It then automatically determines ownership and usage, ensuring complete visibility and security.

Token Security’s platform scans a company’s entire technology infrastructure to automatically identify machine identities and their owners. This allows customers to proactively detect potential security breaches. The startup, whose clients include HPE, reports that it has primarily helped prevent incidents caused by expired credentials or excessive internal access.

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Instead of focusing on a list of human identities, Token focuses on the resources being accessed first – instantly uncovering who is accessing what, where you are at risk, and how to stay secure. Automatically. At Scale. Without interrupting production or business continuity.

“Hackers don’t break in; they log in,” said Itamar Apelblat, Co-Founder and CEO of Token Security. “Enterprises have done a good job securing human identities with things like multi-factor authentication, but automated systems are different. Any enterprise can pull up a list of their employees in seconds and track who has access to what. But ask them about their machine identities, and most can’t even tell you how many they have, let alone what they’re doing. When security teams identify a potential risk, figuring out who’s the human owner behind the automated process and what it’s supposed to be doing turns into a lengthy investigation that delays critical fixes and leaves systems exposed.”

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