An Intelligent Defense Against Hackers

Data normally flows safely through networks, but cyberattacks can subtly disrupt it—often unnoticed. Traditional NIDS based on synthetic data may miss such threats. This project combines machine learning with logic and differentiable logics trained on real data to create monitoring systems with digital intuition that detects even well-hidden attacks.

Threshold Key Management in the Post-Quantum Era: Quantum-Secure Cryptography

In the quantum era, computers will solve mathematical problems far more efficiently, making post-quantum cryptography (PQC) an urgent necessity. The challenge is to make PQC techniques as practical and seamless as today’s cryptographic systems.
This project addresses that challenge by adapting threshold-based key management—where cryptographic keys are shared among multiple parties—to withstand the quantum future.

DIPS in Space: Cybersecurity for satellites

Satellites are vulnerable to cyberattacks. They are deeply interconnected with ground-based systems and are often developed by smaller companies with limited cybersecurity resources. This project addresses this new reality — where satellites form part of the digital frontline, and sophisticated cyberattacks must be detected and mitigated.

Privacy in the Realm of Multilingual Programs: Security in Hybrid Apps

This project aims to develop an analysis tool that enables developers to detect and mitigate vulnerabilities in modern hybrid apps. The project will explore how static code analysis can be combined with dynamic analysis to detect sensitive data flows, for example from Java to JavaScript.

Security by Design for AI Startups: Secure and Scalable AI Agents

In this project, experts from the Alexandra Institute have joined forces with the Danish startup PrivacyMate to close the security gaps introduced by AI agents. The outcome will be an AI agent capable of handling data securely and accurately, as well as a tool that can be deployed internationally.

SECUREAM: Cybersecurity in 3D printing

The project will deliver a comprehensive framework tool that assesses risks and ensures traceability throughout the entire 3D printing process. It also incorporates encryption, allowing partners to share designs without revealing intellectual property. The goal is to enable operators and suppliers to document high-quality production and detect deviations before they escalate into costly errors.

Clearsight: Protecting Denmark’s Digital Infrastructure

The project will develop an intelligent monitoring system for OT (Operational Technology) networks, which are often classified as critical infrastructure. The system continuously checks equipment security, detects suspicious behavior, and alerts the responsible teams when intervention is needed. The goal is to give companies and authorities an early, clear overview of their security posture.

PERSIST: Autonomous Drones to protect Denmark’s Infrastructure

The PERSIST project aims to demonstrate how cutting-edge AI can be turned into practical solutions that protect people, the environment, and critical infrastructure while reducing costs, enhancing safety, and supporting a greener, more resilient energy supply.

REINS: Adaptive AI for Industry – Without the Cloud

The REINS project unites B&O, Leica Geosystems, the Alexandra Institute, DTU, and SDU in a shared mission: to develop AI that runs efficiently on devices that operate in dynamic environments with very limited computing power. The result is technology that saves energy, responds instantly, and can operate anywhere.

MOTUS: Safe and Responsible Co-bots in Healthcare and Industry

Many researchers are working on bringing advanced AI capabilities to co-bots. However, AI is often unaware of its own mistakes. When the AI is simply ChatGPT writing an e-mail, at worst, its mistake will mean that e-mail makes no sense. But if the AI controls a co-bot, its malfunction can injure workers or destroy the robot’s surroundings.