NewCore Raises $66M to Manage AI Agent Identities

The rapid integration of artificial intelligence into corporate workflows has fundamentally altered the traditional boundaries of the modern workplace. Organizations are no longer evaluating software merely as a utility, but as a functional participant in daily operations. This transition demands a complete overhaul of how enterprises authenticate, monitor, and govern digital workers. A new cybersecurity venture is addressing this structural shift by introducing a dedicated identity framework designed specifically for autonomous software agents.

Cybersecurity startup NewCore has exited stealth with sixty-six million dollars in seed funding to address the growing challenge of managing artificial intelligence agents as corporate employees. The company aims to replace legacy identity systems with a unified platform that treats digital workers as first-class entities, complete with independent permissions and lifecycle controls.

Why does the transition to digital workers require new identity frameworks?

Enterprises are increasingly deploying autonomous software to handle complex operational tasks. Goldman Sachs recently tested an AI coding agent as a full-time employee, while McKinsey reported that twenty-five thousand AI agents already operate alongside its human workforce. This rapid expansion creates unprecedented demands on traditional security infrastructure. Organizations must recognize that legacy systems were never engineered to handle the dynamic permissions and continuous authentication required by autonomous software.

Legacy identity platforms were constructed decades ago to manage human credentials and basic machine accounts. They were designed for static access patterns that do not reflect modern operational needs. The friction between outdated access models and contemporary software functions becomes a critical vulnerability as deployment scales. Companies must recognize that treating software agents as mere service accounts ignores the complexity of their daily functions. The infrastructure supporting them must evolve to match their operational reality.

The historical evolution of enterprise security has consistently lagged behind technological innovation. Early systems relied on perimeter defenses that assumed all internal traffic was trustworthy. The shift to cloud computing dismantled those physical boundaries, forcing organizations to adopt zero-trust architectures. Identity became the new perimeter, yet the underlying credential models remain largely unchanged. Autonomous agents require a fundamentally different approach to authentication that accounts for their continuous, high-volume interactions with enterprise systems.

The rapid expansion of digital tools has created a fragmented access landscape. Employees now navigate dozens of applications daily, each requiring separate authentication protocols. This complexity has led to widespread password fatigue and insecure workarounds. Autonomous agents amplify these issues by generating thousands of credential requests per hour. Traditional multi-factor authentication methods cannot scale to meet this demand without introducing severe latency. The industry must develop lightweight, machine-readable authentication standards that preserve security while enabling rapid deployment.

How does NewCore approach the management of digital identities?

NewCore was founded to solve the specific architectural gaps left by traditional vendors. The platform manages both human and AI-agent identities within a single unified system. This design treats software workers as first-class entities rather than secondary machine credentials. Each digital agent receives its own independent permissions, lifecycle controls, and revocation mechanisms. The company utilizes a split-key architecture that divides critical identity credentials between the enterprise and the platform itself. This approach eliminates single points of compromise and ensures that no external party holds complete control over sensitive access tokens.

The system also includes an Agentic Skill integration package that allows coding assistants to access enterprise networks as managed identities. Employees can monitor and adjust these permissions through a dedicated mobile application, creating a necessary human oversight layer. The startup currently employs more than fifty people across the United States and Israel. The company expects to begin charging customers this summer after completing its current design partner program. This phased rollout allows the organization to refine its governance models before broader market adoption.

The founders of NewCore emphasize that identity management must be rebuilt from the ground up to accommodate a mixed workforce of humans and machines. The CEO previously founded a cloud-security startup before its acquisition by a major cybersecurity firm. His experience highlighted how incumbent vendors often prioritize incremental updates over fundamental architectural shifts. This pattern suggests that the industry will require new solutions to address the structural demands of autonomous software deployment.

The split-key architecture represents a significant departure from conventional credential storage models. Traditional identity providers store encryption keys in centralized databases that become high-value targets for attackers. NewCore divides these keys between the enterprise and the platform, ensuring that neither party can unilaterally decrypt sensitive data. This design principle aligns with modern zero-trust security philosophies. It also reduces the blast radius of potential data breaches by eliminating master keys that could compromise entire organizational networks.

What are the limitations of established identity providers?

Major technology companies have attempted to adapt their existing identity platforms to accommodate artificial intelligence. Vendors like Okta and Microsoft have added capabilities to manage AI agents, but these features function as secondary extensions rather than core architectural components. The original design of these platforms prioritizes human employee workflows, which creates inherent friction when applied to autonomous software.

NewCore argues that extending legacy systems for agentic workloads will eventually fail under the weight of scale and complexity. The company notes that identity management has historically been a stagnant market dominated by vendors facing limited competitive pressure. This lack of innovation has allowed outdated credential models to persist despite the rapid evolution of enterprise technology. Organizations relying on these extended platforms may find themselves managing security gaps that were never anticipated during the initial system design.

The financial backing of NewCore reflects growing investor confidence in the digital workforce narrative. The sixty-six million dollar seed round was led by Cyberstarts, with participation from Index Ventures and Evolution Equity Partners. This capital injection values the company at three hundred million dollars, signaling strong market demand for specialized identity solutions. Investors recognize that traditional cybersecurity vendors will struggle to pivot their legacy architectures quickly enough to capture this emerging segment.

The technical debt accumulated over decades of identity management creates significant hurdles for modernization. Traditional systems were optimized for periodic login events rather than continuous machine-to-machine communication. This architectural mismatch forces enterprises to patch their existing infrastructure with workarounds that increase operational complexity. The founders of NewCore emphasize that identity management must be rebuilt from the ground up to accommodate a mixed workforce of humans and machines.

What are the practical implications for enterprise security?

The integration of autonomous software into daily operations requires a fundamental shift in security strategy. Identity systems will likely become the first enterprise infrastructure strained by large-scale AI deployment. Companies will need new methods to monitor, authorize, and revoke software workers operating across complex networks. The inability to properly govern digital agents creates significant exposure to unauthorized access and data leakage.

Industry observers predict that AI agents could outnumber human employees at many technology-focused organizations within a few years. This demographic shift will force IT departments to prioritize automated identity governance over traditional access management. The organizations that build appropriate guardrails now will maintain a distinct operational advantage. Security teams must transition from reactive credential management to proactive digital workforce oversight.

The regulatory environment surrounding artificial intelligence is still evolving rapidly. Governments and industry bodies are developing frameworks to address data privacy, algorithmic transparency, and automated decision-making. Identity management will play a central role in compliance reporting, as organizations must prove that digital workers operate within authorized boundaries. Companies that implement robust governance systems early will navigate these regulatory requirements more effectively than those relying on patchwork solutions.

The broader technology sector is already witnessing this transition through high-profile corporate experiments. Some enterprises have begun treating AI tools as permanent staff members rather than temporary utilities. This cultural shift requires corresponding updates to compliance frameworks and audit procedures. Companies that delay their identity modernization efforts will face mounting technical debt and increased operational risk.

How will the industry adapt to the new workforce reality?

The corporate landscape is undergoing a permanent transformation as software agents assume roles once reserved for human staff. This evolution requires security teams to abandon legacy assumptions about credential distribution and access control. The industry must develop standardized protocols for digital worker authentication and lifecycle management. Enterprises will need to establish clear boundaries between human oversight and automated decision-making.

The founders of NewCore emphasize that identity management must be rebuilt from the ground up to accommodate a mixed workforce of humans and machines. The company plans to charge customers this summer after completing its current design partner program. The startup currently employs more than fifty people across the United States and Israel. Industry observers predict that AI agents could outnumber human employees at many technology-focused organizations within a few years.

Security teams must transition from reactive credential management to proactive digital workforce oversight. Companies that delay their identity modernization efforts will face mounting technical debt and increased operational risk. The organizations that build appropriate guardrails now will maintain a distinct operational advantage. The industry must recognize that digital workers require the same rigorous identity standards as human employees.

The question remains whether enterprises will construct these systems in time to prevent widespread security failures. The corporate landscape is undergoing a permanent transformation as software agents assume roles once reserved for human staff. This evolution requires security teams to abandon legacy assumptions about credential distribution and access control. The industry must develop standardized protocols for digital worker authentication and lifecycle management.

Security teams must transition from reactive credential management to proactive digital workforce oversight. Companies that delay their identity modernization efforts will face mounting technical debt and increased operational risk. The organizations that build appropriate guardrails now will maintain a distinct operational advantage. The industry must recognize that digital workers require the same rigorous identity standards as human employees.