NewCore Secures Sixty-Six Million Dollars For AI Agent Identity Security

Enterprise technology stacks are undergoing a fundamental transformation as autonomous software systems begin operating independently within corporate networks. Organizations are rapidly deploying artificial intelligence agents to handle database queries, execute financial transactions, and manage internal workflows without constant human oversight. This operational shift introduces a complex security challenge that traditional infrastructure was never designed to address. The convergence of machine learning capabilities and enterprise resource management has created a new category of digital actors that require distinct governance frameworks.

NewCore has emerged from stealth with sixty-six million dollars to establish a unified identity platform for artificial intelligence agents and human employees. The Tel Aviv and San Francisco startup aims to solve the growing crisis of untracked non-human credentials by issuing managed identities, enforcing permissions, and maintaining comprehensive audit trails. Backed by prominent investors and experienced security founders, NewCore positions itself against established incumbents like Microsoft and Okta as enterprises recognize the urgent need to govern autonomous software systems.

What is driving the demand for artificial intelligence identity management?

The rapid adoption of autonomous software systems across corporate environments has exposed a critical gap in traditional security architecture. Enterprises are no longer relying solely on human operators to execute routine tasks. Instead, they are deploying intelligent agents that require persistent access to internal databases, financial systems, and communication platforms. Each of these autonomous entities needs a distinct set of credentials, permission boundaries, and a verifiable audit trail. Without a dedicated governance layer, organizations struggle to track which software systems are performing which actions, creating significant visibility gaps.

Security teams are increasingly recognizing that the proliferation of non-human identities represents a substantial attack surface. When autonomous agents operate without proper oversight, they can inadvertently access sensitive data or execute unauthorized transactions. The fear of uncontrolled software behavior is driving leadership to prioritize identity governance. Companies are realizing that treating artificial intelligence agents as secondary to human employees creates operational blind spots that can quickly escalate into security incidents. The market demand now centers on establishing a single source of truth for all digital actors within an organization.

How does the current enterprise security model fail autonomous systems?

Traditional identity management frameworks were engineered for human users who log in, work for a period, and then disconnect. These legacy systems rely on static credentials, shared service accounts, and periodic access reviews that do not align with the continuous, dynamic nature of autonomous software. Many organizations currently attempt to bridge this gap by having artificial intelligence agents borrow human logins or operate on hardcoded API keys. This workaround fundamentally undermines security protocols because it obscures the actual source of system activity and complicates forensic investigations.

The absence of dedicated governance for software entities creates a chaotic permission environment. When agents run on untracked credentials, security teams cannot easily revoke access during a breach or audit historical actions for compliance purposes. This operational friction forces IT departments to choose between restricting autonomous workflows and accepting elevated risk. The industry has long recognized that identity sprawl weakens security postures, yet the specific challenges introduced by machine-to-machine interactions remain largely unaddressed. Enterprises are now seeking architectures that can distinguish between human operators and autonomous processes while maintaining unified control.

The architectural shift toward unified identity governance

NewCore is attempting to restructure how organizations manage digital access by treating artificial intelligence agents as first-class citizens within their security infrastructure. The platform issues distinct identities to autonomous systems, defines precise permission boundaries, and logs every interaction within a centralized dashboard. This approach allows security teams to monitor software behavior with the same rigor applied to human employees. By consolidating identity management into a single architecture, companies can eliminate the need for credential sharing and static key distribution that currently plague enterprise networks.

The strategic vision extends beyond simple credential issuance. The company is developing specialized tools that enable coding agents to authenticate directly into corporate environments as managed identities. This capability allows development teams to integrate autonomous programming assistants into their workflows without compromising security boundaries. The platform aims to function as a comprehensive system of record, capturing the full lifecycle of digital access from provisioning to decommissioning. This unified model addresses the growing complexity of hybrid workforces composed of both human personnel and autonomous software systems.

Why early-stage investors are backing a nascent security category

Financial backing for identity security startups typically requires proven revenue and extensive customer deployments. However, NewCore has secured sixty-six million dollars at a three hundred million dollar valuation despite operating with fewer than ten commercial customers. This early investment reflects a strategic bet on timing rather than immediate scale. Investors recognize that the explosion of non-human identities will soon overwhelm existing security frameworks. The funding round includes a sixteen million dollar pre-seed led by Index Ventures and Cyberstarts, followed by an expanded seed round led by Evolution Equity Partners.

The investor thesis centers on the inevitability of autonomous software integration across all enterprise sectors. As companies continue to deploy artificial intelligence agents for database management, financial operations, and ticketing systems, the demand for specialized identity governance will accelerate rapidly. Security leaders are already acknowledging that untracked software credentials represent a breach waiting to happen. Early capital deployment allows NewCore to establish technical standards and secure design partnerships before the market becomes saturated. The valuation reflects confidence that identity governance for autonomous systems will become a mandatory infrastructure layer.

The competitive landscape and long-term viability of specialized identity platforms

Established technology giants are actively monitoring the emerging category of artificial intelligence identity management. Microsoft and Okta currently dominate the workforce identity space, managing billions of human logins across global enterprises. These incumbents are not standing still as autonomous software adoption accelerates. They are rapidly integrating agent governance features into their existing platforms, leveraging their massive customer bases and established enterprise relationships. The risk for specialized startups lies in whether they can capture market share before large competitors absorb the functionality into broader security suites.

NewCore differentiates itself through its founding team and security-first architectural approach. Chief executive Zohar Alon previously founded Dome9, which was acquired by Check Point, while co-founders Amihai Neiderman and Erez Yarkoni bring extensive backgrounds in military intelligence, healthcare security, and global telecommunications. Angel investors include prominent figures from the Israeli security ecosystem, including Assaf Rappaport from Wiz and Yotam Segev from Cyera. This pedigree provides credibility and industry connections that help attract early design partners. The platform plans to begin charging customers this summer as it transitions from stealth to commercial operations.

Implications for enterprise security architecture

The emergence of dedicated identity governance for autonomous software marks a significant evolution in corporate security strategy. Organizations can no longer rely on legacy frameworks designed exclusively for human users to manage the growing population of digital actors. The transition toward unified identity management will require substantial infrastructure investment and policy realignment. Companies that delay addressing non-human credential sprawl will face increasing operational friction and elevated security risks. The success of specialized platforms will depend on their ability to demonstrate clear value over incumbent solutions. As autonomous systems become integral to enterprise operations, identity governance will shift from a technical consideration to a fundamental business requirement. The broader technology sector is already witnessing similar shifts in platform security, as seen in recent updates to operating system architectures like macOS Golden Gate in pictures: 5 design upgrades coming to your Mac and mobile ecosystems such as iOS 27 vs iOS 26: What’s new, what’s improved?, which continue to refine how digital identities and permissions are enforced across devices.