Daylight, the AI-driven cybersecurity company behind daylight.ai, has raised $33 million in Series A funding to power the next generation of intelligent defense systems. The round was led by Craft Ventures, with participation from Bain Capital Ventures and Maple VC - a strong validation of Daylight’s mission to make security faster, smarter, and far more autonomous.

Founded by Hagai Shapira and Eldad Rudich, Daylight was built to reimagine what cybersecurity means in the era of generative AI. Most enterprise security teams are drowning in alerts, juggling fragmented tools, and reacting to incidents long after damage has been done. Daylight’s platform changes that paradigm by combining autonomous AI agents with human analysts to continuously detect, understand, and neutralize threats-before they escalate.

The Rise of Agentic AI in Cyber Defense

The company calls its approach Agentic Security - a system where AI agents work as digital counterparts to human analysts, tirelessly scanning data streams, learning context, and executing mitigations with human-like precision. Traditional Managed Detection and Response (MDR) solutions often rely on static rules and manual triage. Daylight replaces those outdated methods with models that adapt to context, continuously improve, and provide security teams with clear, explainable reasoning behind every action.

This dual system is a response to a fundamental truth about cybersecurity today: attackers have already automated, but defenders have not. Daylight aims to close that gap. With an architecture that merges cloud, on-premise, and SaaS data sources into one intelligent decision layer, its users gain real-time coverage across every endpoint, every cloud, and every workflow - without the noise or lag that plagues legacy solutions.

Where Human Intuition Meets Machine Precision

While the company’s technology sits at the cutting edge, what truly sets Daylight apart is its understanding of how humans and machines should collaborate. The founders emphasize that cybersecurity isn’t just a technical domain - it’s a psychological one. Every alert, every false positive, every “unknown” creates an emotional load on the humans in the loop. The brilliance of Daylight’s design is that its AI agents don’t just detect threats-they’re trained to behave in ways that security analysts trust.

And this is where a deeper truth emerges for founders everywhere:

When you’re building something mission-critical - something your users depend on rather than just enjoy - your real competitive moat isn’t the technology. It’s emotional reliability. A founder’s job is to build trust at scale, not just efficiency. Daylight’s founders seem to intuit this perfectly. They don’t just optimize for accuracy metrics; they optimize for consistency under stress. Because when your product is placed in a high-stakes environment - like defending a company from an active cyberattack - the smallest lapse in predictability erodes years of trust.

That mindset is what separates reactive startups from resilient ones. The companies that endure are those that design for stability under chaos. It’s a lesson every founder can use, whether they’re building in AI, fintech, or healthtech: the stronger your trust loops, the faster your market will compound.

Building Cyber Defense for a New Era

Daylight’s system isn’t designed to replace humans - it’s designed to empower them. Its AI agents handle the repetitive detection and correlation work that drains human time, while expert analysts focus on judgment calls, risk prioritization, and strategic defense. This hybrid model allows organizations to respond faster while preserving accountability and transparency.

Security teams using Daylight report seeing dramatic improvements in mean time to detect and respond, with near-zero false positives. These outcomes matter because every false alert drains confidence and slows response time. By restoring analyst trust and automating low-level response, Daylight enables organizations to finally stay ahead of attackers instead of chasing them.

The timing couldn’t be more critical. As the world moves deeper into the AI-powered economy, digital infrastructure is becoming more interconnected, more complex, and more vulnerable. Cloud systems, API integrations, and autonomous workflows all multiply the attack surface. Traditional security architectures- built for simpler, pre-AI networks - can’t keep up. Daylight’s model offers a realistic path forward: defense that scales as fast as innovation.

Investors Back the Vision

Daylight’s $33 million Series A is more than just capital-it’s a strategic endorsement. Craft Ventures is known for backing paradigm-shifting infrastructure companies, while Bain Capital Ventures brings deep expertise in enterprise SaaS scaling. Maple VC, with its founder-led investment approach, rounds out the syndicate with experience in early-stage AI.

The funding will accelerate Daylight’s hiring across engineering and customer success, expand its partner network, and scale deployments globally. Product development will focus on deeper integrations, improved explainability for AI decision-making, and new agentic capabilities to handle identity-based threats and zero-day exploits.

The Future of Trust in AI Security

Daylight’s vision extends beyond cybersecurity - it’s a blueprint for how AI can coexist with human oversight in any critical domain. Its platform represents a shift in thinking: that automation doesn’t mean abdication of control, but augmentation of trust.

As enterprises worldwide grapple with AI safety, compliance, and evolving threat vectors, Daylight’s approach may define the new standard for how intelligence systems should act-decisively, transparently, and above all, dependably.

With this $33 million boost, the company is now positioned to lead a new frontier in cyber defense - one where security doesn’t just detect and respond, but learns, reasons, and earns trust in real time.