Daylight Security announces that it has emerged from stealth to introduce a new class of managed security services that combine advanced AI with elite cyber analysts. Designed to address the rising wave of complex and persistent cyber threats, Daylight’s approach empowers organizations to detect, investigate and respond faster – without expanding internal teams. The company announced a $7 million seed round led by Bain Capital Ventures, with participation from Maple VC and a group of notable angel investors, including Torq co-founders Ofer Smadari, Leonid Belkind, and Eldad Livni; Cyera co-founders Tamar Bar-Ilan and Yotam Segev; and EON founder Ofir Ehrlich. The funding will fuel Daylight’s global expansion, accelerate platform development, and support key hires across engineering and go-to-market teams.
To help organizations stay ahead of today’s fast-evolving threats, Daylight offers advanced MDR services that blend autonomous AI agents, capable of context-aware investigations and data analysis, with seasoned analysts who ensure accurate, effective threat resolution. This hybrid approach enables real-time response to cyberattacks with reduced alert fatigue, faster resolution times and minimized business impact. Six months after its founding, Daylight already serves multiple customers in the finance and technology sectors. The company currently employs around 20 team members across its offices in Tel Aviv, New York and Singapore.
“Modern cyber threats evolve at lightning speed, and traditional MDRs simply can’t keep up,” says Hagai Shapira, CEO of Daylight. “Daylight goes beyond simple alert triage to deliver full-spectrum threat detection and resolution, combining advanced AI with expert human analysts for faster, more reliable outcomes. The security services market is undergoing a revolution, and Daylight is leading the way by bringing agentic AI innovation to one of the last frontiers untouched by this technology.”
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Daylight was founded by Hagai Shapira and Eldad Rudich, alumni of elite Israeli intelligence units with deep experience in leading technological innovation in cybersecurity. Rudich, the first employee at Torq, led the company’s development efforts and built complex automation systems, while Shapira served as Torq’s first product manager. Through their work, the two recognized the growing need for intelligent automation in Security Operations Centers (SOCs). However, they also understood that while AI brings significant efficiency gains, it cannot replace the insight and decision-making of experienced human experts. The ideal solution, they realized, lies in a powerful blend of advanced technology and human expertise, an approach that delivers immediate value to organizations and is set to reshape the cybersecurity services landscape in the years ahead.
The MDR market, part of the broader managed cybersecurity services sector, is experiencing rapid growth and is projected to exceed $15 billion USD by 2030. As cyberattacks become more complex and adversaries increasingly leverage automation, organizations are struggling with prolonged exposure to threats, operational disruption, and mounting costs. Traditional MDR offerings from leading vendors often involve complex implementation, provide only partial coverage, and rely heavily on manual processes. This leads to delayed, insufficient responses and alert overload for security teams. In response to these challenges, many organizations are seeking innovative solutions that can break through the limitations of legacy MDR. Daylight introduces a unique platform that combines AI-driven automation with expert analyst services, offering a smarter, faster, and more complete approach to modern threat detection and response, setting a new standard in the MDR space.
Daylight’s platform can be deployed in under an hour and integrates seamlessly with any existing infrastructure, from cloud environments to on-premises systems. Operating continuously 24/7, it delivers comprehensive capabilities that go beyond alert triage to include analysis, verification and response to incidents. The system contextualizes each alert within the business environment, learns the organizational landscape and accurately identifies anomalies, dramatically reducing false positives. Customers report an approximate 80% reduction in MTTR, alongside enhanced coverage and improved ability to handle complex attacks—all achieved without expanding their existing security teams.
Source: Businesswire
