About Experience Publications Projects News

Derck Prinzhorn

Derck Prinzhorn

AI Safety & Security

About

I'm a Founding Member of Technical Staff at Exponential Security Labs, where I evaluate and red-team frontier AI models and build benchmarks and RL environments for AI security.

I studied Artificial Intelligence at the University of Amsterdam before joining the Max Planck Institute and ELLIS Institute Tübingen as a research intern, working with Maksym Andriushchenko on AI control and white-box monitoring.

Experience

Exponential Security Labs

2026 – present
Founding Member of Technical Staff

Evaluate and red-team frontier AI models, building benchmarks and RL environments for AI security.

Research Intern

Trained model organisms for AI control and compared activation-based white-box monitoring with text-based monitors.

Research Engineer

Evaluated the consistency of AI agents’ moral decisions and their ability to justify them under critical questioning.

Prinzhorn Solutions

2025 – present
Founder

Advise small and medium-sized businesses on managing AI security risks.

Wisr

2024 – 2025
Co-Founder

Led product development, customer discovery, user testing, and intern recruitment for an AI-assisted grading platform.

Dutch Police

2023 – 2025
AI Architect

Developed AI strategy and technical architectures for building and securing AI systems.

Highlighted Publications

Top-down aircraft diagram with red damage markers across the wings and rear fuselage

arXiv 2026

LLM Agents Can Easily Tamper With Their Own Traces

J. Qin, D. Schmotz, D. Prinzhorn, L. Beurer-Kellner, A. Prabhu, M. Andriushchenko

Bar chart comparing monitor-evasion success and attempt rates across ten language-model agents

arXiv 2026

Instrumental Monitor Evasion Emerges Under Ordinary Task Pressure

D. Schmotz, D. Prinzhorn, L. Beurer-Kellner, A. Paulus, A. Prabhu, M. Andriushchenko

ResearchArena Figure 1: task setting, red-team agent, submission scoring, and blue-team monitoring

COLM Workshop on Agent Behavior 2026

ResearchArena: Evaluating Sabotage and Monitoring in Automated AI R&D

L. Libon, B. Rank, J. Yeon, D. Schmotz, J. Qin, D. Donnelly, D. Prinzhorn, M. Andriushchenko

Morpheus pipeline for generating videos, extracting trajectories, and scoring physical realism

ICML 2026

Evaluating Newtonian Mechanics in Video Generative Models with Real Physical Systems

A. Tragoudaras, C. Zhang, D. Cherniavskii, A. Vozikis, T. Nijdam, D. Prinzhorn, M. Bodracska, N. Sebe, A. Zadaianchuk, E. Gavves

Conformal time-series decomposition pipeline

COPA 2024

Conformal Time Series Decomposition with Component-wise Exchangeability

D. Prinzhorn, T. Nijdam, P. van der Linden, A. Timans

Projects & Hackathons

Highlights / News

2026
Sep

Released papers on trace tampering and instrumental monitor evasion.

Jul

Joined Exponential Security Labs as a Founding Member of Technical Staff.

Jul

Released ResearchArena, accepted at the COLM 2026 Workshop on Agent Behavior.

Mar

Worked on Controlling the Researcher during the Apart Research AI Control Hackathon.

Jan

Started thesis research on AI control at MPI-IS and ELLIS Institute Tübingen.

2025
Jul

HIVE paper accepted at the Beyond Euclidean Workshop, ICCV 2025.

Apr

Joined Aithos for pluralistic alignment research. Founded Prinzhorn Solutions.

2024
Dec

Presented FairAC reproduction as a poster at NeurIPS 2024.

Sep

Co-founded Wisr (EdTech). Presented conformal time series paper at COPA in Milan.

Jul

Joined SPAR, working on AI control with Aryan Bhatt from Redwood Research.

May

FairAC reproducibility paper accepted at TMLR. Conformal decomposition paper accepted at COPA.

2023
Nov

Received the AmsterdamAI thesis award for uncertainty quantification in time series.

Sep

Started MSc in Artificial Intelligence at the University of Amsterdam.