Israeli cybersecurity startup Daylight has raised $33 million in a Series A funding round. The round was led by Craft Ventures, with support from Bain Capital Ventures, Maple VC, and several well-known founders from Israel’s cybersecurity industry.
This new funding comes just three months after Daylight’s $7 million Seed round, bringing the company’s total funding to $40 million. The strong investor interest highlights how quickly demand is growing for AI-powered security tools as digital threats continue to rise.
Daylight was founded by Hagai Shapira and Eldad Rodich, who both served in Israel’s elite military intelligence Unit 8200. The company builds an AI-powered managed detection and response (MDR) platform that can automatically spot and stop cyber threats without human help.
Daylight’s technology is already used by dozens of companies in the U.S. and Europe, including The Motley Fool, Cresta, and the McKinsey Investment Office.
The new funding will help Daylight expand its presence in the U.S., speed up product development, and introduce new features focused on identity threat response and cloud workload protection.
Cyberattacks around the world have increased by 50% compared to last year, and the average cost of a data breach has climbed to $4.45 million. Because of this, many companies are being pushed to upgrade and modernize their security systems.
Traditional MDR (Managed Detection and Response) and SOC (Security Operations Center) services are often slow, manual, and disconnected, making it hard for them to keep up with the fast-growing and complex AI-driven attacks.
“Cyber threats are evolving faster than traditional SOC and MDR services can handle,” said Hagai Shapira, Daylight’s co-founder and CEO. “We built Daylight to deliver managed protection services that respond with the speed and precision of AI, guided by human expertise. The detection and response market is being reinvented, and Daylight is proud to be leading that change.”
The company says its platform can be set up in less than an hour and works with both cloud and on-premise systems. Its AI agents continuously learn from each investigation and can independently detect and stop threats while still being monitored by security analysts.
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