Bettag Systems
Consulting and engineering for AI security, platform architecture and production AI systems.
Franz Bettag
AI Security Engineer, entrepreneur, security researcher and platform architect. Franz Bettag has spent 25 years building and operating production systems, from his own racks to autonomous AI agents, and personally implements LLM and agent systems in production.
Work and companies
2342 Holding
Founder & Owner of 2342 Holding. A product environment for software, infrastructure and new digital services.
anycast.io
Domain registry, portfolio management and Anycast DNS within 2342. The underlying racks form a Boutique Private Cloud for 2342 products and selected project clients.
Practitioner proof
Security research
#2 VDP Security Researcher Germany — HackerOne Q1/2026. The live leaderboard is unfiltered and may have shifted since; the talk with the ranking screenshot documents the standing at the time of the ranking.
Kleinanzeigen.de
Lead/Sole Engineer for Kleinanzeigen.de, 2014–2019. Rebuilt and operated the FreeBSD platform end to end in Go, before its sale to eBay.
Experience
25 years of production systems and Unix infrastructure
petal.build
Listed as an Elixir/Phoenix Engineer and AI specialist at petal.build.
Liftweb
Liftweb committer since January 2012, still listed by the project today.
Own infrastructure
Own rack infrastructure since 2005; today a Boutique Private Cloud for 2342 products and selected project clients.
Case studies
Projects from practice
The bug bounty platform, Aquila, ranching.farm, badge.gallery and UsageReset cover the problem, role, architecture, results and limitations in detail.
Profiles and publishing
Technical blog
First-hand security research, software, infrastructure and AI.
Open source
Code and historical projects from Scala/Lift to current tools.
Talks
Sessions on security research, Claude Code, Scala/Lift and Elixir/BEAM.
Professional profile and career history.
Continuing education and practical work
Course certificates for Claude, MCP and agents
Franz Bettag’s Anthropic course certificates complement his hands-on work on AI systems. The certificate page shows the original documents; the bug bounty case study explains model roles, tools and verification in his own system.
