Daylight Raises $80 Million to Scale AI Security Operations

Daylight said it raised $80 million in Series B funding led by Growth Equity at Goldman Sachs Alternatives, lifting total funding to $120 million. Daylight said existing investors Bain Capital, Craft Ventures, Vintage Partners and Maple Capital also participated in the round.

Daylight also said revenue grew more than 40 times over the past year, driven by demand from Fortune 500 enterprises and AI-native companies. Its customer list includes Lovable, LastPass, Rogo, dLocal and Miro.

Daylight’s announcement did not disclose starting revenue, valuation, round date, customer concentration or audited results. The 40-times claim signals rapid reported growth, but it does not establish revenue scale.

What does the $80 million fund?

Daylight identified four uses for the proceeds:

• Expand its U.S. presence.
• Enter markets across Europe, the Middle East, Africa and Asia-Pacific.
• Grow its security engineering and technology teams.
• Accelerate development of its AI-native security platform.

The announcement set no dollar amounts, hiring targets or launch timetable. The rollout remains a management objective rather than a disclosed forecast.

The deal expands capacity without a measurable execution timetable.

How does Daylight combine agents with engineers?

Daylight says its service combines automated detection, investigation and response with engineers who customize AI agents for each customer’s systems, workflows and risk priorities. Agents handle routine security operations, while engineers oversee them and address decisions requiring human judgment.

Three commercial options are available:

• A fully managed service.
• A co-managed arrangement alongside internal security teams.
• Support from forward-deployed engineers.

Daylight says the options serve organizations seeking to outsource operations and those retaining control of internal processes. It disclosed no pricing, adoption or retention figures for any model.

Daylight offers three deployment paths without showing customer uptake for each.

What does Aura claim to deliver?

Daylight says customers can use its Aura platform to investigate security environments through natural-language queries, access information in a centralized data lake and manage security operations. Daylight said the service detects threats in seconds and responds to and contains them within minutes, up to 10 times faster than traditional managed security providers.

No benchmark definition, test data or independent validation accompanied the comparison. Daylight did not explain the baseline, the metric or whether it covered the full workflow. The 10-times statement remains a company assertion.

Aura’s features are specific; its claimed speed advantage is not independently testable from the announcement.

Can Daylight monitor AI-specific risks?

Daylight monitors risks involving enterprise AI platforms, including prompt injection, risky Model Context Protocol connections and unusual AI-driven activity. According to Daylight, investigators review those detections alongside identity, endpoint, cloud, software-as-a-service and business context. Daylight identifies Miro among the enterprise customers using that capability.

The announcement gave no alert volumes, false-positive rates or caught incidents. Deployment shows adoption, not proof of better security outcomes.

AI-platform monitoring broadens Daylight’s remit while leaving its effectiveness unquantified.

What do the investors say?

Irit Kahan, Managing Director And Global Head Of Cyber Security Investing Within Growth Equity At Goldman Sachs Alternatives, said:

“Cybersecurity remains a top priority for enterprises of all sizes, and we see a significant opportunity for agentic technologies to transform how security outcomes are delivered. By scaling human expertise with agentic technology, Daylight has the potential to enable organizations to respond at machine speed, with greater accuracy and at scale.”

George Foster, Investor Within Growth Equity At Goldman Sachs Alternatives, said:

“Daylight continues to drive innovation in this space, scaling high-level security expertise through the use of agentic technology. We believe this combination positions the company to have the potential to become a leader in the next-generation of cybersecurity.”

Both investors tied agentic technology and human expertise to machine-speed responses, accuracy and scale. As round investors, their comments express the capital thesis, not independent validation. Daylight disclosed no outcomes, win rates or churn data to test it.

Investor support is strong; operating evidence behind the bullish forecast remains limited.

Who founded Daylight?

Daylight names Hagai Shapira and Eldad Rudich as its founders; they met while serving in an Israeli military intelligence unit. Shapira previously held an early product leadership role at Torq, while Rudich was Torq’s first employee and vice president of research and development.

Hagai Shapira, Co-Founder And CEO Of Daylight, said:

“The future of security operations won’t be defined by how many people a company can deploy, but by how effectively AI agents can take on increasingly complex security work.

As these agents become more capable, they’ll fundamentally change how threats are detected, investigated, and contained, with expert security engineers implementing, governing, and continuously improving their operations.

At Daylight, we’re already bringing this vision to life through an agent-native model that combines the speed and scale of AI with the judgment and oversight of human experts.

We’re building the foundation for a new era of security operations.”

The statement places engineers in governance rather than hands-off automation. It gives no escalation rate, residual expert workload or total-cost evidence. The balance between machine scale and labor intensity remains untested.

Daylight’s model still depends on expert labor, making utilization and escalation rates central to its business case.

The $120 million in total funding gives Daylight room to expand across the U.S., Europe, the Middle East, Africa and Asia-Pacific. The harder test is whether deployments substantiate the company’s more-than-40-times revenue growth, up-to-10-times speed claim and thesis that AI agents can handle increasingly complex security work under expert oversight.