The Core Technology: Securing the Entire Data & AI Lifecycle

Noma Security identifies a fundamental gap in traditional cybersecurity: traditional Application Security (AppSec) tools are often ill-equipped to handle the specific vulnerabilities of AI systems, such as prompt injection, model poisoning, and "shadow" AI assets. The Noma platform provides a holistic security layer that spans from model development to production runtime.

1. Continuous AI Discovery and Governance

Noma provides organizations with complete visibility into their AI ecosystem, which is often fragmented across data science environments, shadow cloud instances, and third-party SaaS applications. * AI Asset Inventory: Automatically discovers all AI assets, including models, datasets, pipelines, and infrastructure. * AI Bill of Materials (AIBOM): Generates a detailed inventory of every component within an AI application, allowing teams to visualize the supply chain and identify potential risks in open-source dependencies or pre-trained models. * Shadow AI Detection: Identifies unauthorized or unmanaged AI usage across the enterprise to eliminate security blind spots.

2. Proactive AI Risk Management

The platform enables "Secure-by-Design" AI development by continuously scanning for vulnerabilities before they reach production. * Supply Chain Scanning: Monitors for malicious models and poisoned data in popular repositories and MLOps platforms. * Automated Red Teaming: Uses AI-driven simulations to stress-test models against adversarial attacks, jailbreaks, and sensitive data leakage. * Misconfiguration Detection: Scans AI infrastructure (such as Databricks, SageMaker, or Jupyter environments) for security gaps and permission issues.

3. AI Runtime Protection

For AI systems already in production, Noma enforces real-time guardrails to defend against live threats. * Prompt Protection: Detects and blocks malicious prompt injections and jailbreak attempts designed to bypass model safety filters. * Sensitive Data Shield: Automatically identifies and redacts PII (Personally Identifiable Information) or proprietary intellectual property before it is processed by a model or leaked in an output. * Rogue Agent Prevention: Monitors autonomous AI agents for unpredictable behaviors or unauthorized actions that could compromise interconnected systems.

Specialized Focus: Agentic AI Security

A key differentiator for Noma Security is its industry-first focus on Agentic AI Security. As enterprises move from static chatbots to autonomous agents (e.g., Salesforce Agentforce, Microsoft Copilot Studio, or custom LangChain agents), the risk of "cascading attacks" increases.

Noma?s agentic security solution provides: * Agent Visibility: Deep contextual understanding of an agent?s functionality, toolsets, and data access permissions. * MCP Server Security: Scans and secures Model Context Protocol (MCP) servers and other agent toolsets for vulnerabilities. * Behavioral Monitoring: Real-time auditing of agent reasoning and runtime actions to ensure alignment with corporate policies.

Governance, Compliance, and Integrations

Noma Security is designed to help Fortune 500 companies meet the rigorous demands of emerging AI regulations and internal risk standards.

• Compliance Frameworks: Simplifies alignment with the EU AI Act, OWASP Top 10 for LLMs, MITRE ATLAS, and NIST AI Risk Management Framework.
• Enterprise Integrations: Noma integrates natively with over 80 data and AI platforms, including Databricks, AWS, and various source code management tools.
• Model Agnostic Approach: The platform works across commercial, open-source, and fine-tuned models, regardless of whether they are hosted on-premises or in the cloud.

Leadership and Market Position

Noma Security was founded by Niv Braun (CEO) and Alon Tron (CTO), both veterans of the Israel Defense Forces' (IDF) elite 8200 intelligence unit with deep expertise in AI, data science, and application security.

Since emerging from stealth, the company has seen explosive growth: * Funding: Noma has raised approximately $139 million in total funding, including a landmark $100 million Series B round in July 2025 led by Evolution Equity Partners. * Strategic Backing: The company is supported by high-profile investors including Ballistic Ventures, Glilot Capital Partners, Databricks Ventures, and SVCI (Silicon Valley CISO Investments). * Recognition: Recognized by Gartner as a leader in AI Trust, Risk, and Security Management (AI TRiSM).