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Chronicles

The story behind the story

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Israel-based Noma Security, whose platform secures enterprise data and AI models against AI agents, raised a $100M Series B, bringing its total funding to $132M

Israeli cybersecurity startup Noma Security, whose platform secures enterprise data and AI models against AI agents …

Reuters Steven Scheer

Context & Ripple Effects

Noma’s new round follows its emergence from stealth with a $32M funding round in late 2024. The increase in capital points to faster investor backing for security products designed around enterprise AI deployment rather than conventional endpoint or cloud protection alone.

The company sits in an Israeli cybersecurity ecosystem that has also produced multi-cloud security vendors such as Orca Security’s cloud-security platform. Noma’s focus narrows the problem to protecting data and models as AI agents gain access to enterprise systems.

First-order effects

  • Noma gains $100M in Series B capital and reaches $132M in total funding, strengthening its capacity to build and sell its enterprise data- and model-security platform.
  • Enterprise buyers evaluating AI agents gain a better-funded specialist vendor focused on the permissions, data exposure and model-risk surface those agents create.

Second-order effects

  • The round raises competitive pressure on adjacent cloud, data and endpoint-security vendors to show how their products protect AI-agent workflows, rather than treating AI as a feature layer.
  • More capital flowing to agent-security specialists can make this category a more distinct procurement area for enterprises, alongside broader cloud and data-security tooling.

Third-order effects

  • If enterprise AI agents continue receiving access to sensitive data and models, security architecture is likely to shift from protecting infrastructure alone toward governing autonomous software actions and access paths.
  • The pattern suggests AI-security funding will increasingly favor vendors that can tie data, model and identity controls together; whether that becomes a standalone market or is absorbed by broader platforms remains unsettled.

The trend: AI-agent adoption is creating a new security category centered on controlling how autonomous software accesses enterprise data and models.