Cybersecurity startup Above Security has raised $43 million in its Series A funding round. The round was led by Merlin Ventures, Ballistic Ventures, and Norwest Venture Partners.
Other investors, including Jump Capital and QPV Ventures, also participated in the funding round.
Nahum said the company launched in July last year and quickly gained traction. “We operate in the world of internal risk,” he said. “We’ve already delivered significant value to large customers and wanted to scale quickly following strong demand and large contracts.”
He added that early interest from U.S. investors played a key role in the rapid fundraising process. “There was interest from American funds from the very beginning, and Ballistic made a compelling offer. It’s a leading cybersecurity fund, which is a major advantage for us.”
Above’s platform relies heavily on AI-driven automation. “We effectively deploy thousands of AI agents that continuously look for leaks and internal vulnerabilities,” Nahum said. “They conduct full investigations, collecting signals, connecting the dots, and building a complete picture.”
“In a future where AI will operate most complex systems, humans will not disappear—they will level up. Those who supervise and manage automation will hold real power within organizations. But with that power also comes risk: human error or an insider threat can have a much faster and far deeper impact,” said Shay Michel, Managing Partner at Merlin Ventures. “Above is building a protection layer that empowers people, reduces mistakes, and prevents insider threats before they become incidents. In an AI-accelerated world, true resilience begins with people.”
Above was founded in 2025 by Aviv Nahum and Amir Boldo. Both previously worked in special units (Unit 81 and Unit 49) of Israel’s elite Unit 8200 and have experience building and selling companies.
The company has created a platform that helps businesses detect and handle insider threats—risks that come from people inside the organization, like employees misusing access or leaking data.
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