Daylight Launches AI-Powered MDR Built for the Modern Threat Landscape

Daylight Launches AI-Powered MDR Built for the Modern Threat Landscape

Daylight Security has come out of stealth with a managed detection and response (MDR) service that blends autonomous AI agents with human analysts. The goal: faster investigations, less noise, and tighter response times, without needing customers to grow their internal teams. The launch follows a $7 million seed round led by Bain Capital Ventures, and the company is already working with customers in finance and tech just six months in.

The core of Daylight’s model is a hybrid approach. Their AI agents handle the heavy lifting, ingesting data, making sense of alerts, and piecing together threat activity in real time. But where other MDR tools stop at automated triage, Daylight brings experienced analysts into the loop to validate findings and take action. This pairing aims to solve a problem most SOCs know too well: more alerts than time, and too few hands to deal with them.

Founders Hagai Shapira and Eldad Rudich bring relevant track records from Torq and Israeli intelligence units. Their pitch is simple: automation is powerful, but without human context, it’s incomplete. They built Daylight to be fast to deploy, easy to integrate, and designed to fit into existing infrastructure. Teams using the platform see major cuts in response time and alert volume, without needing to hire more staff.

As the MDR market pushes toward $15 billion in the next five years, Daylight is entering at a time when organizations are clearly rethinking their detection and response stack. Most legacy offerings are complex, rigid, and slow to adapt. Daylight wants to change that by offering something faster, smarter, and built for the pace of today’s threats. It’s not just about finding alerts, it’s about doing something useful with them, fast.