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Noma Launches AI Security Platform to Protect Enterprise Machine Learning Data Pipeline

Noma’s end-to-end approach provides coverage across the entire Data & AI Lifecycle, from development to production and from classic data pipelines and ML to GenAI.

NOMA

NOMA team (company pic)

New Israeli startup Noma launched its application security platform for securing the entire Data and AI Lifecycle. The company raised $32 million in a Series A round of funding led by Ballistic Ventures, less than a year after a previously undisclosed seed round led by Glilot Capital Partners.

“The Data & AI Lifecycle is significantly different from the software development lifecycle. It comes with a whole new supply chain, as well as unique open source components and runtime artifacts that traditional security tools don’t cover,” said Niv Braun, co-founder and CEO of Noma. “We’re already seeing organizations compromised by misconfigured data pipelines and MLOps tools and vulnerable and malicious open source models. It’s only a matter of time before we see AI’s equivalent of SolarWinds or Log4Shell. There’s an urgent need for a new security solution that holistically covers the Data & AI Lifecycle.”

Noma’s platform provides end-to-end AI discovery, security, protection, and compliance. It protects against supply chain risks — like vulnerable data pipelines, unscanned code in data science environments, misconfigured MLOps tools, and sensitive data used for model training — as well as threats like vulnerable and malicious models, runtime prompt injection, and more.

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The platform seamlessly deploys across any cloud-based, SaaS, or self-hosted environment within minutes, requiring no agents or code changes and adding no friction to data science teams’ day-to-day workflows. Noma’s end-to-end approach provides coverage across the entire Data & AI Lifecycle, from development to production and from classic data pipelines and ML to GenAI.

Founders Niv Braun (CEO) and Alon Tron (CTO) met in the prestigious 8200 intelligence unit and have combined their respective experience leading security groups and data science teams to start Noma. Together they have quickly built a team with deep expertise in AI, application security, and beyond. Noma has helped shape industry standards for AI security as members of the OWASP AI Exchange and has contributed to US government policy on AI security, including informing guidelines like NIST SP 800-218A. The Noma platform is already used by paying customers, including Fortune 500 companies.

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