Research

Illuminating the Unknown in AI Security

Research • June 2026

"You can't defend what you can't understand. Project Dark Light exists to illuminate what traditional security tools leave hidden."

Modern security programs generate millions of findings every day. Vulnerability scanners, cloud security platforms, SAST, DAST, CSPM, and AI security tools all produce valuable signals—but very few explain how those signals connect into real business risk.

This is the problem Project Dark Light was created to explore.

Why "Dark Light"?

In physics, darkness isn't a thing, it's simply the absence of light.

Security works much the same way.

Unknown relationships between identities, APIs, cloud infrastructure, code, AI agents, and business logic create blind spots that attackers exploit. Those blind spots rarely appear as a single vulnerability. Instead, they emerge through chains of seemingly harmless events that, when combined, become consequential attack paths.

Project Dark Light investigates those hidden relationships.

Rather than asking:

"Is this vulnerability critical?"

we ask:

"How does this vulnerability interact with everything else?"

Beyond Findings

Traditional security tools are excellent at surfacing individual observations.

Project Dark Light focuses on something different:

• Understanding relationships

• Reconstructing attack paths

• Identifying trust boundaries

• Prioritizing business impact

• Explaining why something matters

This philosophy closely aligns with our broader research into Security Reasoning Infrastructure, an approach where isolated findings become connected evidence that supports actionable security decisions rather than overwhelming security teams with alerts.