Daylight raises $80M for AI security with human oversight | Magica
Daylight raises $80M to scale AI security backed by human engineers
Editorial Team
••📖6 min read
Daylight’s Goldman Sachs Alternatives-led Series B backs security agents supported by human engineers. The young company reports rapid growth, but has not disclosed the economics behind its automation promise.
Daylight raised $80 million in a Series B, bringing total funding to $120 million.
The service combines AI agents with engineers who customize their work and handle decisions requiring human judgment.
Revenue growth and response-speed figures are company claims; pricing and service economics remain undisclosed in the funding reports.
Daylight, an Israeli cybersecurity company that uses AI agents and human specialists to detect, investigate and respond to threats, announced an $80 million Series B on November 10, 2026. Growth Equity at Goldman Sachs Alternatives led the round, financing a business whose promise depends on making scarce security expertise serve more customers.
The distinction matters for buyers: automating investigations can shift work toward checking the automation. Daylight says its engineers build, operate and adapt agents to each customer’s environment. Customers can outsource operations or retain more control.
Daylight’s funding rounds: $7 million seed, $33 million Series A and $80 million Series B. Chart: Magica; sources: CTech and Daylight. Source: CTech — Series A.
More capital, an undisclosed revenue base
The funding announcement names Okta’s investment arm, Okta Ventures, as a new investor alongside existing backers Bain Capital, Craft Ventures, Vintage Partners and Maple Capital. Goldman Sachs Alternatives is part of Goldman Sachs Asset Management; its growth equity business has invested in founder-led companies since 2003 and, according to the announcement, manages more than $23 billion across its platform. The lead investor’s stated rationale is the opportunity to scale human expertise through agents—an assessment of potential, rather than evidence of operating results.
Founded in early 2025, Daylight had previously raised a $33 million Series A announced in November 2025, led by Craft Ventures. That round followed a $7 million seed round and brought total funding to $40 million. The new $80 million investment is twice all the capital raised before it.
Daylight did not disclose its valuation. A report on the round estimates it at approximately $400 million. That figure should be read separately from the confirmed funding amount.
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Daylight says revenue grew more than 40-fold over the past year, with customers including Lovable, LastPass, Rogo, dLocal and Miro. Neither the announcement nor the funding report gives the starting revenue base or current revenue, limiting what that multiple establishes about the business’s size. The report also records the company’s expectation of tens of millions of dollars in revenue by the end of 2027—a forecast, rather than revenue already earned.
Hagai Shapira, Daylight’s co-founder and chief executive, was an early product leader at cybersecurity company Torq, where he worked closely with enterprise security teams. Co-founder and chief technology officer Eldad Rudich was Torq’s first employee and vice president of research and development, building its platform and engineering organization. Their experience connects Daylight’s founders to the security workflows it now aims to operate for customers.
The funding report puts Daylight’s workforce at 80 people, including 43 in Israel. Shapira told the publication that most of the capital would expand the sales team. The company’s announcement also commits to expanding its U.S. presence, entering markets across Europe, the Middle East, Africa and Asia-Pacific, hiring security engineers and technologists, and developing its platform. The spending agenda therefore includes both selling the service and adding the people and technology needed to deliver it.
Who operates the agents—and who checks them
Daylight offers fully managed operations, work alongside customers’ internal teams, or support from engineers deployed into their operations. Those choices determine how much operating work customers hand over and how closely their own teams remain involved.
Its Aura platform combines natural-language investigation, a centralized security data lake and management of security operations. Daylight says its coverage also includes prompt injection, risky Model Context Protocol integrations and unusual AI activity. These signals enter the same managed detection and response workflow as identity, endpoint, cloud and software-as-a-service information. Miro is already using the AI-related capability, according to the company.
Reported changes in time spent on security activities among 856 cybersecurity professionals using AI, surveyed in May 2026. Responses describe perceptions, not measured hours or Daylight’s performance. Graphic: ISC2. Source: ISC2.
In a survey conducted in May 2026, ISC2 asked 856 cybersecurity professionals who use AI about changes in their work. Over the preceding year, 65% reported spending more time deciding whether to trust or act on AI recommendations, and 63% spent more time validating outputs.
The fuller results complicate a simple burden narrative. On hands-on security tasks, 35% reported spending less time, 32% more time and 33% no change. And 48% said AI had decreased their work-related stress, compared with 32% reporting increased stress.
These are respondents’ assessments, not measured hours or a test of Daylight. Increased validation can coexist with benefits elsewhere; the findings do not establish the net labor savings of a particular service.
Nor is expertise combined with agents unique to Daylight. CrowdStrike, whose Falcon security platform protects endpoints, cloud workloads, identities and data, announced an expansion of its agentic security workforce in November 2025, describing existing agents trained on millions of decisions from its Falcon Complete security operations.
New agents included tools for application creation and data onboarding, delivered through Falcon platform modules. Its release cautions that some described features may not be generally available. This is a competing approach to applying human expertise through automation, rather than proof of equivalent service scope, availability or performance. Pairing agents with human expertise alone does not establish Daylight’s differentiation.
The next test is service economics
Daylight says it detects threats in seconds and responds to and contains them within minutes, up to 10 times faster than traditional managed security providers. Its announcement does not supply the comparison population, testing method or distribution of incident outcomes needed to evaluate that claim independently.
The funding disclosures also provide no pricing, gross margins or engineer workload per customer. Those omissions leave two tests unresolved: whether customers reduce their total security workload and cost, and whether Daylight can serve more customers without proportionately increasing its delivery staff.
The new capital gives it resources to expand sales and delivery. Evidence of repeatable response results, customer costs, integration effort and staffing requirements would show whether the combination produces a more efficient security service as it grows.
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