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NewCore raises $66M to build identity infrastructure for AI agents
The startup is betting that managing machine identities will become the next critical challenge in enterprise security.
NewCore has raised $66 million to tackle what it sees as the next frontier in enterprise security: giving AI agents verifiable identities. The company’s thesis is straightforward. As businesses deploy more autonomous AI systems, the question shifts from “who is accessing our systems” to “what is accessing our systems.”
The company is far from alone in recognizing this gap. The non-human identity management space has attracted serious attention from established players over the past year. Okta, AWS, Veza, Silverfort, and Token Security have all launched or expanded solutions targeting machine and agent identity in 2025 and 2026.
Why enterprise security is pivoting away from human-centric models
Enterprises are deploying AI agents at scale across customer service, financial operations, supply chain management, and software development. Each of those agents needs its own identity, its own permissions, and its own lifecycle management. Companies like AWS have integrated agent identity controls into their cloud infrastructure offerings. Okta has expanded its identity platform beyond human users. Veza has focused specifically on authorization for non-human identities.
Where crypto fits, and where it doesn’t
NewCore’s approach does not appear to involve crypto tokens, decentralized protocols, or on-chain identity primitives. No cryptocurrency tokens, blockchain protocols, or digital asset integrations have been identified in relation to discussions surrounding AI agent identities. The $66 million flowing into NewCore rather than into a DeFi-native identity protocol reflects where institutional dollars are actually going.
What investors should watch
NewCore is entering a market where cloud giants have natural distribution advantages. AWS can bundle agent identity into its existing services. Okta already has relationships with thousands of enterprise customers. Permissionless, cross-platform identity for AI agents operating across multiple blockchains and protocols is one area where decentralized approaches might have an edge, as centralized solutions tend to struggle with interoperability across organizational boundaries.