Introduction
Noma has introduced a groundbreaking application security platform specifically designed to safeguard the entire Data & AI Lifecycle. With substantial backing of $32 million from investors such as Ballistic Ventures and Glilot Capital Partners, this platform addresses the unique security challenges posed by the rapid integration of AI technologies [9] [10], which differ significantly from traditional software development processes [2] [4] [7].
Description
Noma’s platform is engineered to mitigate vulnerabilities like misconfigured data pipelines, unscanned code [2] [4] [7] [9], and threats from vulnerable or malicious models [2] [4] [5] [7]. It offers comprehensive AI discovery, security [1] [2] [3] [4] [5] [6] [7] [8] [9] [10], protection [2] [3] [4] [5] [6] [7] [9] [10], and compliance [2] [4] [5] [6] [7], effectively managing supply chain risks and runtime threats without necessitating agents or code modifications [2]. The platform is designed for seamless deployment across various environments [2], including cloud-based, SaaS [9] [10], or self-hosted setups, ensuring minimal disruption to data science workflows and promoting rapid innovation. By consolidating multiple security use cases into a single solution [2] [9] [10], it provides visibility and confidence for application security teams while enabling data science teams to innovate swiftly [2] [9] [10].
Key capabilities of the platform include Jupyter notebook security [6], data pipeline protection [6], and MLOps vulnerability management [6], allowing teams to identify and rectify exposed secrets, code vulnerabilities [1] [2] [3] [4] [6] [7], and configuration issues [6]. This proactive approach helps prevent significant breaches and ensures confident operations. Additionally, the platform scans for sensitive data in model training datasets [1], such as personally identifiable information [1], assisting organizations in addressing misconfigurations within AI application components [1].
Noma’s platform is actively utilized by application security teams from Fortune 500 companies [8], reflecting its relevance and effectiveness in the current landscape of AI security challenges [10]. The company is also engaged in shaping industry standards for AI security and has contributed to US government policy initiatives [2] [5], including guidelines like NIST SP 800-218A [2]. This comprehensive approach mitigates risks associated with vulnerable or malicious models as AI adoption continues to expand across various sectors [6].
In production environments, Noma’s AI Runtime Protection addresses real-time threats [6], including adversarial prompt injection attacks [6], model jailbreaks [6], and unauthorized data access [6]. This protection is essential for preventing incidents that traditional application security tools may overlook [6], ensuring that AI-driven applications operate safely within organizational policies and standards [6].
Founded in 2023 by Niv Braun and Alon Tron, Noma leverages their expertise in security and data science to enhance the safety of AI applications through a unified perspective on their security landscape. As vulnerabilities increase [1] [2] [3] [4] [7], Noma Security positions itself as a key player in addressing the evolving security needs of organizations adopting AI technologies.
Conclusion
Noma’s innovative platform significantly impacts the AI security landscape by addressing the unique challenges posed by AI technologies. Its comprehensive approach mitigates risks associated with vulnerable or malicious models [6], ensuring safe and compliant AI operations. As AI adoption continues to grow, Noma’s contributions to industry standards and government policy initiatives will play a crucial role in shaping the future of AI security, positioning the company as a leader in this rapidly evolving field.
References
[1] https://techcrunch.com/2024/10/31/noma-is-building-tools-to-spot-security-issues-with-ai-apps/
[2] https://markets.businessinsider.com/news/stocks/noma-exits-stealth-with-32m-to-secure-the-entire-data-ai-lifecycle-from-development-to-production-1033928895
[3] https://www.turtlesai.com/en/pages-1627/noma-security-innovation-in-the-protection-of-appl
[4] https://www.globenewswire.com/news-release/2024/10/31/2972786/0/en/Noma-Exits-Stealth-with-32M-to-Secure-the-Entire-Data-AI-Lifecycle-from-Development-to-Production.html
[5] https://menafn.com/1108838425/Noma-Exits-Stealth-With-32M-To-Secure-The-Entire-Data-AI-Lifecycle-From-Development-To-Production
[6] https://siliconangle.com/2024/10/31/israeli-ai-security-startup-noma-launches-32m-secure-data-ai-lifecycle/
[7] https://www.thetechoutlook.com/press-release/noma-exits-stealth-with-32m-to-secure-the-entire-data-ai-lifecycle-from-development-to-production/
[8] https://www.darkreading.com/application-security/noma-launches-secure-data-ai-lifecycle
[9] https://finance.yahoo.com/news/noma-exits-stealth-32m-secure-143000167.html
[10] https://radicaldatascience.wordpress.com/2024/10/31/noma-exits-stealth-with-32m-to-secure-the-entire-data-ai-lifecycle-from-development-to-production/