Research program

Security research into AI-built application platforms.

DeltaForsch conducts authorization-first security research into AI-built application platforms. Every engagement begins with explicit permission from the platform operator or application owner, and our methods are designed to surface systemic exposure patterns across generated apps, never to access private user data.

We maintain an independently documented, dated inventory of thousands of AI-built production applications. Each entry records when it was observed, the platform that generated it, and whether its public surfaces expose data without authentication, creating a longitudinal record of how the AI-built web evolves over time.

Findings are verified before disclosure, then shared privately with the affected platform vendor and application owner. We work alongside their teams to confirm fixes, track remediation timelines, and publish aggregate, non-attributing statistics once exposure is closed.

The result is a growing public record of the security posture of AI-built software, available to researchers, platform teams, and the broader community.

Authorization-first

Every engagement begins with explicit permission from the platform operator or application owner.

Dated inventory

An independently documented, dated record of thousands of AI-built production applications.

Verified & remediated

Findings are confirmed, then coordinated privately with vendors and owners until exposure is closed.

Public registry

The dated public registry of verified AI-built applications is published independently and updated as new apps are observed and documented.

hackathon.co.il — the dated public registry of AI-built apps