CDC · Research

We study attacks before
they become widespread.

The institute conducts applied research into the evolution of cyber threats — including scenarios involving artificial intelligence, cloud infrastructure and automated hacking tools. The results become standards, checklists and solution prototypes.

Directions

What we work on

Cyber threat modelling

Analysis of attack tactics and techniques, building intruder models and forecasting attack vectors — including those using AI and automated hacking tools.

Digital forensics

Methods for collecting and examining digital evidence, reconstructing incidents and restoring the timeline of an attack.

Post-quantum cryptography

Assessing the readiness of digital systems for the threat of quantum computing and the transition to cryptography resistant to quantum analysis.

Artificial intelligence in cybersecurity

Using machine learning to detect anomalies and studying the risks of offensive AI — the generation of malicious code and phishing.

OSINT

Open-source intelligence: methods for detecting leaks, mapping the attack surface and preparing for incidents before they occur.

Prototypes and cyber ranges

Developing prototypes of protective solutions and testing them in the isolated environment of a cyber range on realistic scenarios.

Priority topics

Research focus

Research results feed the national cyber threat knowledge base — attack breakdowns and practical checklists for specialists.

Cooperation

Science without borders

The institute takes part in international scientific cooperation: the conference ICCSDFAI 2026 (IEEE, June 2026, Istanbul) brought together a consortium of 11 organisations, and the papers are indexed in IEEE. The results are published through the institute's scientific journal.

Cooperation

Interested in a joint study?