Noma Security
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Noma Security
Additional Info
Website | https://noma.security/ |
Company size (employees) | 10 to 49 |
Headquarters Region | Middle East |
Overview
Noma Security’s platform secures the entire Data and AI Development Lifecycle, a vital aspect of cybersecurity for companies as AI transforms from analytical systems to mission-critical production applications. The platform provides comprehensive security coverage from development to production, addressing the unique risks in both traditional machine learning and emerging GenAI applications.
The solution consolidates fragmented security capabilities into a unified platform that seamlessly integrates with modern AI development environments like Jupyter notebooks, Databricks, and Sagemaker – tools that traditionally operated outside conventional security frameworks. This integration enables security teams to maintain visibility and control over AI development processes while allowing developers to work within their preferred environments.
Noma’s platform protects against sophisticated AI-specific threats including prompt injection, adversarial attacks, and model theft, while securing the AI supply chain against malicious models and datasets. The solution creates a common language between traditionally siloed security, data science, and AI development teams, enabling companies to maintain robust security practices without sacrificing development speed or innovation.
Noma Security’s solution is currently being used by Fortune 100 and 500s. In addition, executives of PANW and Zscaler, and CISOs of Twitter, McDonald’s, Atlassian, T-Mobile, and Databricks have invested in the company, with Noma having raised $32 million in Seed and Series A funding.
How we are different
- Provides comprehensive protection against traditional and emerging AI-specific threats and supply chain risks, including prompt injection, adversarial attacks, model theft, and malicious models/datasets that traditional security tools cannot address.
- Delivers security coverage specifically designed for AI development environments, protecting previously vulnerable tools like Jupyter notebooks, Databricks, and Sagemaker.
- Creates seamless collaboration between security and AI development teams through a unified platform, enabling real-time monitoring and security across the AI development lifecycle while maintaining development speed and innovation.
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