Daylight Raises $7M for AI Cyber Defence

Daylight Security is betting that cybersecurity automation will work best when AI agents and human analysts share the workload.

What happened

Daylight Security emerged from stealth with $7M seed funding led by Bain Capital Ventures, with participation from Maple VC and several Israeli cyber founders.

The company combines AI agents with human experts for managed detection and response workflows. Its focus is on helping security teams investigate alerts, understand threats and respond faster without handing full control to autonomous systems.

That hybrid approach matters because cybersecurity is one of the places where automation pressure is high, but full trust in autonomous decision-making remains limited.

Security teams want faster detection and response, but they also need accountability, judgment and confidence when systems touch sensitive environments.

Why it matters

This is a clean AI-cybersecurity item.

Enterprises are drowning in alerts, logs and security tools. AI agents can help triage repetitive work, connect evidence and accelerate investigations. But cyber defence also has high downside risk if an automated system misunderstands context or takes the wrong action.

Daylight’s model reflects where a lot of enterprise AI may settle first: not replacing expert teams, but making them faster and more consistent.

The bigger picture

AI security is splitting into several layers: protecting models, protecting agent tools, and using AI to protect companies.

Daylight sits in the third layer. The broader market signal is that cyber buyers want automation, but they still need human-in-the-loop systems that feel safe enough for real operations. That balance could define the next wave of AI-native security startups.