AI Agents at Work: NewCore Secures $66M to Shape Their Identities

TL;DR

• NewCore has emerged from stealth with $66 million in funding to tackle a new workplace security problem: managing AI agent identities alongside human employees.
• The company says its platform is built to discover, secure, govern, and revoke access for human and agentic identities under one system.
• The round values NewCore at $300 million and comes as enterprises increasingly need identity controls for autonomous software that can act inside corporate systems.

AI agents are forcing a new identity problem

Enterprise security teams are confronting a shift from managing only people and machine accounts to managing software that behaves more like a worker. NewCore’s pitch is that AI agents should no longer be treated as simple service accounts, but as first-class identities with their own permissions, lifecycle controls, and revocation rules.

That framing matters because AI agents can request access, move between tools, and take actions across business systems in ways traditional identity stacks were not designed to handle. NewCore says this creates a gap in enterprise security that becomes more visible as companies deploy more autonomous AI across operations.

What NewCore is building

NewCore describes itself as a security-first identity platform for the agentic enterprise, designed to manage humans, machines, and AI agents in a single architecture.

According to the company, the platform is intended to:

• Discover every identity in the enterprise, including human users, machine accounts, and AI agents.
• Secure access and reduce risk across the workforce environment.
• Govern permissions and control what agents can touch.
• Support revocation and lifecycle management for AI identities.

The company says it was built from the ground up rather than adapted from older identity architecture, with the goal of closing exposure points that legacy systems left open by design.

The funding and valuation

NewCore’s stealth exit is backed by $66 million in funding from Cyberstarts, Index Ventures, and Evolution Equity Partners.

Multiple reports place the company’s post-money valuation at $300 million. One report says the financing includes a $16 million pre-seed and an expanded seed round that brought the total to $66 million. Another source describes the capital as a $16 million seed plus a $50 million Series A.

Why investors are betting on the space

Investors appear to be betting that identity management will become one of the core infrastructure layers of the AI era. As enterprises give AI agents access to email, codebases, data stores, and workflow systems, the question is no longer just who is allowed in, but what software is acting with employee-like privileges.

NewCore is positioning itself to answer that question for the enterprise, effectively becoming a system of record for all identities, whether human or agentic. That positions the startup in a competitive market that already includes major security and identity players, with reports citing Microsoft and, in some commentary, other large platform vendors as likely rivals.

The founders and roots of the company

NewCore is based in Tel Aviv and San Francisco. The company was founded in 2025 by Zohar Alon, who previously sold Dome9 to Check Point Software, along with CTO Amihai Neiderman and CCO Erez Yarkoni.

PR material says the founding team includes cybersecurity and enterprise-IT veterans, with prior exits including Check Point’s acquisition of Dome9. That background helps explain why the company is framing AI-agent identity as a security problem rather than just a productivity issue.

Why this launch matters now

The rise of AI agents is changing how enterprises think about access control. Unlike traditional bots or scripts, agents can be persistent, context-aware, and capable of taking multi-step actions across systems, which makes identity governance more urgent.

NewCore’s launch suggests a broader industry trend: as AI becomes more operational inside companies, identity infrastructure may need to evolve just as quickly as the models themselves. For security teams, the challenge is not only monitoring what AI does, but formally defining what an AI agent is allowed to be in the first place.

What to watch next

NewCore is now available to enterprise customers, so the key question is whether companies adopt a dedicated agent-identity layer or continue extending existing identity platforms to cover AI.

The bigger test will be whether NewCore can prove that AI agents need their own identity model at all, and whether its architecture can become a standard for enterprises trying to control autonomous software without slowing deployment.

AndroGuider Team

Articles written by the AndroGuider team. We try to make them thorough and informational while being easy to read.