Daylight announced an $80 million Series B on 10 November 2026, led by Growth Equity at Goldman Sachs Alternatives. Okta Ventures joined as a new investor, while Bain Capital, Craft Ventures, Vintage Partners and Maple Capital also participated. The company says the round brings its total funding to $120 million.
The Israeli-founded, New York-based company is building a managed security-operations service in which AI agents perform routine investigation work and human security engineers retain responsibility for higher-judgment decisions. The financing is intended to expand Daylight in the United States, enter EMEA and Asia-Pacific markets, grow engineering and security teams, and accelerate its Aura platform.
A service model, not another standalone security tool
Daylight positions its product between a traditional managed detection-and-response provider and a customer-operated AI security tool. Its agents are designed to gather evidence, investigate alerts and support response inside each customer's existing security environment. Human engineers build and tune detections, review uncertain cases and take over when context or accountability requires judgment.
Customers can choose a fully managed service, a co-managed arrangement with an internal team, or a forward-deployed Daylight engineer. That operating choice is important: the company is selling responsibility for security work, not only software licenses.
The official announcement says Aura provides natural-language investigation, a central security data lake and one place to manage security operations. Daylight also says its detections can cover AI-specific risks such as prompt injection, unsafe model-context-protocol connections and unusual agent activity alongside identity, endpoint, cloud and SaaS signals.
These are company-described capabilities. The announcement does not publish independent detection benchmarks, false-positive rates or a technical audit of the platform.
What the new capital is meant to change
Daylight says the funding will support US expansion, entry into EMEA and Asia-Pacific, hiring across security engineering and technology, and faster development of its AI-native platform. That puts the Series B behind two linked bets: that enterprises want fewer disconnected security tools, and that AI agents can take on a larger share of repetitive operational work without removing human accountability.
The round also adds an investor with a direct interest in enterprise cybersecurity. Irit Kahan, who leads cybersecurity investing within Growth Equity at Goldman Sachs Alternatives, said in the announcement that agentic technologies could change how security outcomes are delivered. The investor's participation confirms the financing; it does not validate Daylight's performance claims.
Daylight reports that revenue increased more than fortyfold during the past year and names several enterprise customers. Those figures were supplied by the company and were not independently audited in the announcement. No valuation, revenue amount, share price or detailed financing terms were disclosed.
The operating test is an evidence chain
The central question is not whether an agent can summarize an alert. It is whether a managed system can connect telemetry, business context, prior investigations and response actions into a defensible evidence chain.
For customers, that means checking which actions an agent may take automatically, which require approval, how access is limited, how model changes are evaluated and how every decision appears in an audit trail. A fast verdict is useful only if analysts can understand the evidence and reverse or escalate the action when needed.
Daylight's official lifecycle runs from preparation and detection through hunting, investigation, response and continuous improvement. The value of the model will depend on whether information really carries across those stages instead of becoming another isolated queue.
Why the round matters for Israeli cybersecurity
Daylight was founded by Hagai Shapira and Eldad Rudich, who previously worked together in Israeli military intelligence and later at security-automation company Torq. The funding adds to a continuing pattern in Israeli cybersecurity: experienced teams are moving from tools that assist analysts toward systems that perform larger portions of the operating workflow.
That shift can reduce repetitive work, but it also raises the standard for governance. A company that promises managed outcomes must show how agents are constrained, how humans supervise them and how failures are contained. Buyers should separate the confirmed financing and product architecture from company claims about speed, revenue growth and operational efficiency.
The confirmed development is straightforward: Daylight has raised an $80 million Series B and plans to use it to expand internationally and build its managed agentic security platform. The harder evidence will come from customer deployments, independent testing and transparent controls.
Sources
- Daylight funding announcement, 10 November 2026
- The Daylight Model, official product and operating-model overview
- CTech report on the financing, 10 November 2026
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