Israeli artificial intelligence enterprise security startup Noma Security Inc. today launched and announced that it has raised $32 million in funding to enhance its end-to-end AI security platform and grow its customer base.

Founded in 2023, Noma offers end-to-end security solutions tailored to the “Data and AI Lifecycle,” the process of developing, deploying and managing data-driven AI models, including data collection, model training, testing, deployment, monitoring and securing data pipelines and runtime environments. The company says its flagship platform is built to protect every stage of the AI supply chain, from development to production, ensuring that data science and machine learning workflows remain secure.

Noma argues that the rapid adoption of AI has thrown data science and machine learning teams in the spotlight and has introduced new security risks. Noma’s platform is aimed at countering those risks, helping teams through the provision of end-to-end AI discovery, security, protection and compliance.

The company’s platform focuses on critical areas of the AI lifecycle, including Jupyter notebook security, data pipeline protection and MLOps vulnerability management. Noma’s tools scan for exposed secrets, code vulnerabilities and configuration issues, allowing the platform to prevent potentially disastrous breaches while enabling teams to build with confidence.

Noma’s offering includes AI Security Posture Management, a service that automatically inventories AI assets, builds a bill of materials for model components and ensures proper governance over training data. The approach addresses the risk of vulnerable or malicious open-source models, as well as the management of sensitive data, which is crucial as AI scales across industries.

In production environments, Noma’s AI Runtime Protection mitigates real-time threats such as adversarial prompt injection attacks, model jailbreaks and unauthorized data access. The runtime protection helps prevent incidents that traditional application security tools might miss to ensure that AI-driven applications operate safely within organizational policies and standards.

Noma’s Series A round was led by Ballistic Ventures and came on top of a previously undisclosed seed round led by Glilot Capital Partners Ltd., with participation from Cyber Club London Ltd. Other investors in Noma include current and former chief information security officers from McDonald’s Corp., Google DeepMind, Twitter (X Corp.), Atlassian Corp., BNP Paribas S.A., T-Mobile US Inc. and Nielsen Holdings plc.

“As security and compliance become more top of mind for organizations adopting AI, embedding security from the start ensures that innovation can flourish without compromise,” Jake Seid, co-founder and general partner of Ballistic Ventures, said in a statement. “Noma’s approach gives AppSec teams full visibility and confidence while empowering data science teams to move fast and drive business value.”

Photo: Noma Security