Enclave

AI Code Security Platform that Prioritizes Real Vulnerabilities in Software

Cyber Security
Private
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Company Overview

Snapshot

Founded in January 2026 by Tal Hoffman, Yanir Tsarimi, and Dvir Segev, Enclave operates with 1–10 employees. The company has raised $6M across one funding round from 7 investors, with 8VC as a lead investor. In March 2026, Enclave secured $6M in Seed funding.

Business overview

Enclave provides an AI-powered code security platform designed for software teams, AppSec teams, and engineering organizations. Its core technology analyzes repositories and pull requests, traces data flows, maps trust boundaries, and helps distinguish real vulnerabilities from scanner noise. The platform aims to accelerate security review processes without relying solely on traditional static-analysis alerts, serving markets that require vulnerability triage, deep contextual investigation, and pull-request security review, including enterprise deployments.

Strategic signal

In March 2026, Enclave successfully raised $6M in Seed funding from investors including 8VC and Marc Benioff. This significant early-stage investment validates the market's demand for AI-driven solutions in code security and highlights investor confidence in Enclave's approach to prioritizing real vulnerabilities and enhancing developer workflows.

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Company Intelligence Q&A

When was Enclave founded?
Enclave was founded in January 2026 by Tal Hoffman, Yanir Tsarimi, and Dvir Segev.
What is Enclave's primary focus?
Enclave focuses on providing an AI-powered code security platform that helps software teams prioritize real vulnerabilities and enhance security review processes.
How much funding has Enclave raised to date?
In March 2026, Enclave raised $6M in Seed funding from investors including 8VC and Marc Benioff.
Which investors participated in Enclave's Seed round?
In March 2026, Enclave raised $6M in Seed funding from investors including 8VC and Marc Benioff.
What problem does Enclave's technology address?
Enclave's technology addresses the challenge of distinguishing real vulnerabilities from scanner noise by analyzing code repositories, tracing data flows, and mapping trust boundaries, thereby enabling faster and more accurate security reviews.
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