Daylight, an AI-native cybersecurity company combining autonomous security agents with human expertise, has raised $80 mn in Series B financing led by Growth Equity at Goldman Sachs Alternatives. The investment brings its total funding to $120 mn.
The round included new investor Okta Ventures and existing backers Bain Capital, Craft Ventures, Vintage Partners and Maple Capital. Daylight plans to use the capital to expand internationally, recruit security engineers and accelerate development of its AI-native security platform.
- Daylight raised $80 mn in Series B funding, bringing total investment to $120 mn, as revenue increased more than 40x over the past year.
- Its AI agents detect threats in seconds and contain incidents within minutes, operating up to 10 times faster than traditional managed security providers.
- The company plans to expand across the US, EMEA and APAC while developing protection against AI-specific threats, including prompt injection and risky MCP integrations.
Revenue has increased more than 40 times over the past year, driven by demand from Fortune 500 enterprises and AI-native businesses. Its customers include Lovable, LastPass, Rogo, dLocal and Miro.
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.
Hagai Shapira, co-founder and CEO of Daylight
AI cybersecurity demand increases as security teams face growing pressure
Daylight’s financing follows a period of heightened cybersecurity activity, including a wave of incidents in October 2026 referred to as “Black October.”
Security operations teams face increasing demands as threats become more complex and organizations introduce AI into their detection and response processes.
A July 2026 ISC2 survey found that 65% of cybersecurity professionals using AI spend more time determining whether to trust its recommendations than they did a year earlier. Another 63% reported spending more time verifying AI-generated outputs.
These findings point to difficulties in implementing AI tools without increasing the workload associated with oversight and validation.
Many enterprises also face limitations in the managed security services market. Traditional providers frequently deliver standardized services that are difficult to customize, while standalone AI products can introduce additional systems for internal teams to operate.
Companies consequently rely on multiple vendors for managed detection and response (MDR), threat hunting, phishing protection, data security and security data management.
Daylight combines these functions within a service model that integrates AI automation with security engineering teams.
Daylight combines AI agents with human security engineers
Daylight’s platform uses AI agents to conduct routine security operations, including threat detection, investigation and response. Its engineers develop, deploy and continuously customize these agents to reflect each customer’s infrastructure, workflows, security priorities and specific risks.
The agents handle operational tasks, while experienced engineers remain responsible for decisions requiring human judgment.
Daylight offers three delivery models: fully managed security operations, co-managed services alongside an internal security team, and forward-deployed engineers working directly with customers.
This structure allows enterprises to choose how much operational responsibility to retain.
According to the company, its platform can identify threats within seconds and respond to or contain incidents within minutes, delivering response speeds up to 10 times faster than traditional managed security providers.
Daylight says this combination allows customers to operate smaller security teams without losing access to specialist expertise for complex incidents.
Through Aura, its AI-native security platform, customers can investigate security events using natural-language queries, access information stored in a centralized security data lake and manage security operations through a single interface.
Shapira said AI agents would increasingly handle complex security activities, with engineers responsible for implementing, governing and improving their performance.
Daylight expands protection against AI-specific cyber threats
Daylight also provides security coverage for the AI platforms and applications used by enterprise customers. Its detection capabilities address threats associated with prompt injection, risky Model Context Protocol (MCP) integrations and unusual AI-driven activity. These signals are processed through Daylight’s existing MDR workflow rather than being handled as a separate security function.
Investigations incorporate information from identity systems, endpoints, cloud infrastructure, software-as-a-service applications and broader business operations.
The company said these AI-specific protections are already being used by enterprise customers, including Miro.
The approach is intended to help security teams investigate AI-related incidents using the same operational processes applied to conventional cyber threats.
Goldman Sachs Alternatives backs Daylight’s AI security model
Goldman Sachs Alternatives led the financing through its Growth Equity business, which invests in technology companies including cybersecurity providers.
Irit Kahan, managing director and global head of cybersecurity investing within Growth Equity at Goldman Sachs Alternatives, said agentic technologies could change how enterprises deliver security operations.
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, an investor within the same business, said combining specialist security expertise with agentic AI could strengthen Daylight’s position in the cybersecurity market. “We believe this combination positions the company to have the potential to become a leader in the next-generation of cybersecurity,” Foster said.
Goldman Sachs Alternatives manages more than $706 bn in assets and has over 30 years of experience investing across alternative asset classes.
Its activities include private equity, growth equity, venture capital, private credit, real estate, infrastructure, sustainability and hedge funds.
Daylight targets US, EMEA and APAC expansion
Daylight was founded by Hagai Shapira and Eldad Rudich, who met while serving in an Israeli military intelligence unit. Both founders previously worked at cybersecurity company Torq.
Shapira held an early product leadership position at Torq, working with enterprise security teams, while Rudich was the company’s first employee and vice president of research and development. He was responsible for developing its core platform and engineering organization.
Daylight’s investor base also includes angel investors associated with the founding teams of Wiz, Cyera, EON and Armis.
The company plans to direct its latest financing toward expanding its US operations and entering additional markets across Europe, the Middle East, Africa and Asia-Pacific. It will also increase hiring across its security engineering and technology teams.
Further investment in the Aura platform and autonomous security agents will support the company’s efforts to serve enterprises seeking either fully outsourced security operations or AI-assisted capabilities integrated with their existing teams.
