Noma Security Raises $100M Series B as Enterprise CISOs Prioritize AI Agent Security Governance
AI Agent News
Noma Security has secured $100 million in Series B funding less than nine months after its founding, marking one of the fastest enterprise AI security funding rounds as organizations urgently address the security implications of autonomous AI agent deployment.
The Tel Aviv-based company’s extraordinary growth trajectory—1,300% ARR increase within its first year—reflects rising enterprise demand for AI agent security governance as CISOs grapple with managing thousands of AI models and millions of prompts flowing through corporate environments daily.
The Enterprise AI Agent Security Bottleneck
Enterprise Chief Information Security Officers face an unprecedented challenge: securing AI agents that operate with increasing autonomy while maintaining compliance and governance standards. Unlike traditional software security that focuses on static applications, AI agent security requires real-time monitoring of dynamic model behavior and prompt interactions.
UBS Research data reveals the urgency: 53% of surveyed organizations plan to adopt agentic AI by 2026, jumping to 83% by 2028. However, current enterprise security frameworks lack the infrastructure to govern AI agents that can autonomously access data, execute workflows, and interact with external systems.
Traditional security tools designed for human-operated systems cannot address the unique risks of agentic AI—including prompt injection attacks, model drift, unauthorized data access, and compliance violations arising from agent-initiated actions. This gap has created a deployment bottleneck where security concerns delay or prevent enterprise adoption of AI agents despite their productivity potential.
End-to-End AI Agent Security Architecture
Noma Security’s platform addresses this bottleneck through comprehensive AI agent security and governance infrastructure designed specifically for enterprise environments. The solution provides real-time monitoring and protection for AI models, agent interactions, and autonomous workflows.
The platform operates across multiple enterprise touchpoints: cloud environments, code repositories, AI development platforms, and production deployments. For enterprise customers processing hundreds of millions of AI prompts monthly, Noma’s infrastructure scans thousands of model artifacts while identifying and prioritizing novel threats specific to agentic AI deployments.
The architecture includes governance frameworks that enable CISOs to implement policies for AI agent behavior, data access controls, and compliance monitoring. This infrastructure layer sits between enterprise applications and AI agents, providing the security guardrails necessary for autonomous operations while maintaining visibility into agent decision-making processes.
Evidence of Enterprise Adoption
Evolution Equity Partners led the Series B round, with continued participation from Ballistic Ventures and Glilot Capital, recognizing Noma’s rapid achievement of product-market fit within enterprise CISO organizations. The funding reflects investor confidence in the growing market for specialized AI agent security infrastructure.
Customer adoption spans financial services, life sciences, retail, and big tech, demonstrating cross-industry demand for AI agent security solutions. Fortune 500 organizations using Noma’s platform represent early indicators of broader enterprise requirements as agentic AI deployment accelerates.
The company’s rapid revenue growth correlates directly with increasing enterprise AI agent adoption. Organizations that initially deployed limited AI pilots are expanding to company-wide agent platforms, creating proportional demand for security infrastructure that can scale with deployment complexity.
Market Shift Toward Agentic AI Governance
Noma Security’s funding success signals a fundamental infrastructure shift in enterprise AI strategy. Organizations are moving beyond basic AI tool deployment to implementing autonomous agents that require sophisticated security and governance frameworks.
This transition parallels earlier enterprise infrastructure evolution where security became a prerequisite rather than an afterthought. As AI agents gain autonomy to access sensitive data and execute business processes, traditional perimeter security models prove insufficient for protecting against agent-specific attack vectors.
The market timing reflects enterprise reality: CISOs cannot approve AI agent deployments without comprehensive security infrastructure, creating immediate demand for specialized solutions. This security-first approach to AI agent adoption represents a maturation of enterprise AI strategy beyond experimentation toward production deployment.
Looking Forward
The next 12 months will likely see convergence between AI agent platforms and security infrastructure as enterprises demand integrated solutions rather than point security products. This integration pressure will drive consolidation in the AI security market while establishing new standards for enterprise AI governance.
Noma Security’s expansion into North America and EMEA positions the company to capture demand as global enterprises accelerate AI agent adoption. The funding enables continued platform development focused on emerging threat vectors specific to increasingly sophisticated AI agents operating with greater autonomy.
Enterprise AI Infrastructure Evolution
Noma Security’s rapid growth demonstrates how security infrastructure requirements evolve alongside AI capabilities. As organizations deploy increasingly autonomous AI agents, security becomes not just a compliance requirement but a business enabler for AI innovation.
This infrastructure-first approach to AI agent deployment creates opportunities for orchestration platforms like Overclock to integrate security governance directly into agent workflow design, ensuring enterprises can deploy AI automation confidently while maintaining operational control and security standards.