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Deep Instinct raises $32M Series B from NVIDIA, others for its deep learning cybersecurity software that works on devices and does not require cloud connection

The Tel Aviv based startup says it is the first company to apply deep learning to cybersecurity.

Globes Online

Context & Ripple Effects

In 2017, Deep Instinct's $32M Series B was notable less for the size than for who wrote the check: NVIDIA took a strategic stake in software whose entire pitch is deep learning inference running locally on endpoints, with no cloud round-trip. That bet aged well — the company went on to raise a $43M Series C in 2020 and then a $100M round led by BlackRock in 2021, validating the on-device detection thesis through successive market cycles.

The round also seeded what is now a recognizable Tel Aviv pattern: AI-native device security companies with chip-industry ties, a lineage that runs forward to Bold, which emerged from stealth in 2026 with $40M to put AI agents on enterprise laptops.

First-order effects

  • NVIDIA converts capital into a reference deployment: every Deep Instinct endpoint is a proof that its silicon can handle real-time threat inference offline, not just training in the data center.
  • Deep Instinct gains both runway and strategic cover to scale sales of an architecture — local, model-based malware prevention — that enterprise buyers then still associated with cloud sandboxes and signature updates.

Second-order effects

  • Endpoint security incumbents face pressure to add learned models on-device rather than shipping telemetry to the cloud, shifting competitive differentiation toward model quality and silicon efficiency.
  • Edge-inference hardware vendors get a new demand channel: Deep Vision's later edge-accelerator push targets the same workload class Deep Instinct proved out, tying security budgets to accelerator roadmaps.

Third-order effects

  • If the pattern holds, security becomes a structural driver of edge AI adoption — detection moving from centralized analytics to models embedded in the device itself, with chipmakers using equity stakes to anchor their silicon in that flow.
  • Tel Aviv consolidates into a durable AI-device-security cluster, where each funded cohort (Deep Instinct, then Bold) lowers the fundraising and talent barrier for the next.

The trend: Chipmakers are using strategic investment to pull AI inference off the cloud and onto end-user devices, with cybersecurity as the earliest proving ground.