Noma Security

Cybersecurity Dual-Use Technology Priority Signal Founded 2023

Last updated: May 7, 2026

Noma Security provides end-to-end discovery, governance, and runtime protection for enterprise AI systems and autonomous agents, addressing the growing attack surface created by rapid AI deployment at scale.

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Company Overview

Noma Security operates at the intersection of AI adoption and enterprise security governance. The company's platform provides three core capabilities: Discovery (visibility into the entire AI landscape—models, agents, MCP servers, data sources, and their dependencies), Secure (risk identification, supply-chain validation, identity/access controls, and red teaming for prompt injection and jailbreak detection), and Protect (runtime monitoring and enforcement of security, privacy, and compliance policies). This comprehensive coverage from development through production addresses a critical market gap: most enterprises deploying AI have poor visibility into their AI footprint and lack purpose-built controls for AI-specific attack vectors (prompt injection, model poisoning, jailbreaks, unauthorized agent autonomy).

The timing of Noma's founding (2023) and rapid Series B trajectory ($100M round led by Evolution Equity Partners, with continued backing from Ballistic Ventures and Glilot Capital) reflects strong market validation. Enterprise buyers face urgent demand to scale AI safely as agentic AI becomes central to operations, yet traditional security tools cannot detect or prevent AI-specific attack vectors. Noma's platform-style architecture (unified discovery, governance, testing, and runtime control) differentiates it from point solutions and represents a bet that AI security will follow the pattern of cloud and DevOps security—becoming an integrated operating model rather than a bolt-on control.

Competitive positioning is credible: Noma competes against emerging specialists (Protect AI, HiddenLayer, Lakera, Pillar Security) and faces the long-term threat of large platforms (CrowdStrike, Palo Alto Networks, Fortinet) embedding AI-security features into broader stacks. However, Noma's depth in agent-specific risks, supply-chain visibility (including emerging MCP server ecosystems), and real-time policy enforcement at the prompt/tool-call level represent genuine technical differentiation. Early adopters are likely to be large enterprises and financial-services firms where agent deployment has immediate business impact and regulatory compliance stakes are high.

Dual-use relevance is substantive. Secure governance of AI systems is critical infrastructure for both commercial and national-security-adjacent environments. In commercial contexts, preventing prompt injection, model poisoning, and unauthorized agent behavior protects intellectual property, customer data, and operational continuity. In government and defense settings, the same technologies provide essential oversight and safety mechanisms for high-assurance AI deployments in critical infrastructure, intelligence, and military applications. The governance framework—identity controls, policy enforcement, audit trails—directly supports compliance with evolving AI regulation (EU AI Act, executive orders on AI governance) and with national-security-adjacent procurement requirements.

Dual-Use Assessment

Military & Commercial Applications

Noma's governance and runtime-control technologies serve both commercial and national-security-adjacent use cases. Commercially, enterprises require protection against prompt injection, data exfiltration, and rogue agent behavior to safeguard intellectual property and operational continuity. In government and defense contexts, the same governance framework—identity controls, policy enforcement, audit trails, supply-chain validation—provides essential oversight mechanisms for high-assurance AI deployments in critical infrastructure and intelligence operations. The dual-use potential is particularly strong because effective AI governance depends on identical technical principles regardless of sector: visibility into models and agents, pre-deployment validation, runtime monitoring, and enforceable controls. Regulatory trends (EU AI Act, U.S. AI executive orders) and emerging national-security procurement requirements for AI-system governance substantially increase public-sector demand.

Strategic Fit Assessment

Research priority signal

Priority signal means this entry may be worth researching within the Claw & Talon thesis. It does not mean investable, suitable, endorsed, available, or likely to produce returns.

Noma addresses a high-growth, mission-critical category with strong market pull and rapid financing progression ($100M Series B demonstrates investor confidence). The company operates in a genuinely emerging market (AI-specific security) where buyer willingness to pay is high because the risks are material and traditional security tools are inadequate. Noma's platform architecture suggests a bet on consolidation and category leadership—unified discovery, governance, testing, and runtime control reduce fragmentation and switching costs, advantaging the market leader. Series B timing and capital raise indicate investor expectations for rapid enterprise adoption and potential for market-leading positioning in a category likely to grow 3-5x over the next 3-5 years.

Strategic Value to U.S.-Israel Alliance

Noma's technology enables enterprises to adopt and scale AI with governance and safety controls that satisfy both internal risk management and regulatory/compliance requirements. For enterprises, the value is operational: reducing the cost and risk of AI rollout by providing unified visibility, testing, and runtime enforcement. For national-security and regulated-sector buyers, the value is foundational: Noma's architecture provides the governance layer necessary for high-assurance AI deployment in critical infrastructure and intelligence operations. Noma's success would establish platform-level AI security governance as a competitive standard, similar to how cloud-security platforms became central to enterprise infrastructure.

Key Technologies

  • AI and agent asset discovery and inventory mapping
  • AI security posture management and risk prioritization
  • AI red teaming and validation workflows
  • Runtime guardrails for models and agents
  • Unified governance layer for enterprise AI lifecycle security

Use Cases & Applications

  • Securing enterprise rollout of agentic AI workflows
  • Preventing malicious prompt and rogue agent behaviors
  • Improving AI compliance and governance readiness
  • Reducing AI supply chain and model configuration risk
  • Supporting high-assurance AI deployment in regulated sectors

Sources and verification

This profile is based on public-source research, Claw & Talon curation, and editorial judgment. Inclusion does not imply endorsement, partnership, investment, or a recommendation to transact. Readers should still confirm current status, customers, funding, and product claims before relying on this profile.

Public sources

The links below are visible public references used for source discipline around company identity, status, funding, customer, acquisition, public-company, or other material claims where available.

  • Official website Primary public reference for company identity, positioning, and current web presence.
  • Profile update timestamp Last updated in the Claw & Talon database on May 7, 2026.

Investor Lens

What this entry is

Private startup

Why it may matter

Noma Security may matter as a Cybersecurity entry with direct private-company diligence for Israeli technology research.

How an independent investor should read this

Direct private-company diligence. Read this profile as a starting point for independent verification, not as a recommendation or suitability assessment.

Evidence to verify

  • Verify current status
  • Verify traction
  • Verify cap table/funding
  • Verify technical claims
  • Verify regulatory/export-control issues
  • Verify customer concentration

Main investor questions

  • Is the company currently active, independently financeable, and raising or not raising on terms you can verify?
  • What customer, revenue, product, and technical evidence supports the company story?
  • What valuation, cap table, rights, and follow-on assumptions would govern any private exposure?
  • Does the dual-use claim map to actual commercial and government/defense/resilience buyer evidence?
  • What evidence would change the thesis or show that the profile is stale?

What not to infer

  • Inclusion does not imply endorsement.
  • Inclusion does not imply allocation availability or current fundraising.
  • Scores do not indicate investment suitability or expected returns.
  • Strategic importance does not automatically imply venture return potential.

Diligence questions

  • What evidence verifies Noma Security's current customer traction, deployment status, and revenue concentration?
  • Which technical claims are independently demonstrable today, and which remain roadmap or pilot-stage assertions?
  • Where does the product create real defense, intelligence, critical-infrastructure, or emergency-response value beyond ordinary commercial adoption?
  • How does the platform integrate into existing SOC, cloud, identity, or compliance workflows without adding operational burden?
  • What would disconfirm the priority signal: weak customer references, thin technical differentiation, poor capital efficiency, or limited allied-market access?

Related sector

See the Cybersecurity sector page for market context, related subcategories, and other Israeli companies in this part of the database.

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