NewCore has raised $66 million in Series A funding to build identity and access management infrastructure for AI agents operating in enterprise environments. The company positions itself at the intersection of workforce automation and security, arguing that as AI agents take on employee-like roles, organizations need dedicated tools to manage their permissions, activities, and accountability.
The core problem NewCore addresses stems from a shift in enterprise software architecture. Traditional identity management systems were built for humans logging into applications. AI agents operate differently. They run continuously, interact with multiple systems simultaneously, and make autonomous decisions. Existing access control frameworks cannot adequately govern these behaviors.
NewCore's platform treats AI agents as first-class identities within enterprise security frameworks. The system tracks what agents access, what decisions they make, and when they deviate from expected patterns. This creates an audit trail for compliance while preventing agents from exceeding their intended scope.
The timing reflects genuine enterprise urgency. Companies deploying autonomous AI systems face a blind spot. They cannot easily answer basic security questions: Which agent accessed that database? What permissions did it have? Can we revoke access instantly if behavior turns anomalous? Traditional user-centric security models fail to answer these.
NewCore's approach borrows concepts from zero-trust security and applies them to machine actors. Every agent request triggers verification. Policies define which systems an agent can reach, what operations it can perform, and under what conditions. The system revokes privileges immediately if agents behave unexpectedly.
This becomes critical as enterprises move beyond chatbots and deploy agents that execute transactions, manage infrastructure, or access sensitive data. Insurance companies might use agents to process claims. Finance firms might deploy agents to execute trades within guardrails. Manufacturing facilities could run agents that manage supply chains. Each scenario requires tight access control.
The funding reflects investor conviction that AI agent security represents a substantial market opportunity. As enterprises normalize autonomous AI in critical workflows, the