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More blogs from this author
Joining the Zero Threats Club with Wiz and Daylight
This collaboration is personal for me. Having been part of Wiz’s journey in its earliest days, it’s inspiring to see how that same spirit of innovation is now fueling Daylight’s next chapter.This partnership isn’t just about connecting technologies; it’s about a shared vision that excellent security isn’t just about seeing more, it’s about resolving issues faster.
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.
Daylight Security raises $7M in Seed funding to combine AI agents and human experts in cyber defense
Cyber startup Daylight Security emerged from stealth on Tuesday with $7 million in Seed funding and a plan to combine artificial intelligence with experienced human analysts in managed security services. The round was led by Bain Capital Ventures, with participation from Maple VC and a group of notable Israeli 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 Case for Rethinking MDR in the Modern Enterprise Era
The promise of Managed Detection and Response MDR is simple: offload the burden of threat detection and response to experts, so internal teams can focus on what matters most. On paper, MDR offers a compelling solution to the security talent shortage, alert overload, and the complexity of modern environments. But in practice, most MDR providers haven’t evolved with the threats they claim to protect against. Their services remain rooted in traditional, surface-level approaches that fall far short of what modern enterprises need.