In the rapidly evolving landscape of enterprise technology as we approach the end of 2024, one key focus for companies across various industries and sizes is harnessing the power of generative AI applications to enhance both internal and external processes. However, amidst this drive for innovation, the critical aspect of ensuring data security remains a significant challenge, particularly for organizations that lack specialized expertise in this area. Many existing security solutions may not be equipped to handle the unique demands of the AI era and the diverse capabilities that businesses aim to unlock through AI-driven data processing.
Stepping up to address these pressing security concerns is Noma, an Israeli startup that specializes in AI enterprise security. Emerging from stealth mode, Noma has secured a Series A funding round of $32 million led by Ballistic Ventures, with support from Glilot Capital Partners, Cyber Club London, and prominent angels including Chief Information Security Officers (CISOs) from renowned companies like McDonald’s, Google DeepMind, Twitter, Atlassian, BNP Paribas, T-Mobile, and Nielsen.
Noma offers a comprehensive security platform designed to safeguard enterprise customer data right from the initial stages through to the training and deployment of AI models and custom applications. Already adopted by several Fortune 500 companies, Noma’s platform addresses the critical need for targeted security measures within AI workflows.
Co-founder and CEO of Noma, Niv Braun, highlights the unique security risks that AI and data science models face, such as prompt injection and data leakage, which standard security tools may not adequately cover. Drawing from their military background in Israel’s elite 8200 intelligence unit, Braun and co-founder Alon Tron recognized the gap in security tools for data science and AI workflows, leading them to establish Noma.
Noma’s three-tiered platform encompasses Data & AI Supply Chain Security, AI Security Posture Management (AI-SPM), and AI Threat Detection & Response, offering a comprehensive approach to securing AI model development and operations. Customers have the flexibility to choose between an all-inclusive enterprise license or a modular, product-based option, both available on an annual software-as-a-service (SaaS) subscription basis.
The platform’s compatibility with various environments, easy integration via APIs, and user-friendly interface make it accessible to data science and security teams alike, fostering collaboration and transparency in securing AI workflows. Noma’s proactive engagement in shaping AI security standards and its ambition to lead the emerging field of data and AI lifecycle security position it as a key player in enabling enterprises to leverage AI’s potential securely and responsibly.
