Ing. Dita Hollmannová

I am an ethical hacker

I have been fascinated by computers since high school, and pursued this interest on CTU in Prague.

Apart from computers and security, I enjoy playing with historical ciphers and codes, solving puzzles and participating in orienteering competitions. I also like reading, cooking, skiing, patchwork and archery.

2019 - now
Full-time ethical hacker at DCIT a. s. Ethical hacker at DCIT a. s.

I focus on penetration testing of websites, APIs and networks.


Internship at Stratosphere Laboratory Internship at Stratosphere Internship at FEE CTU

During my internship in Startosphere labs, I have contributed to the Stratosphere Intrusion Prevention system. I have developed modules for the Stratosphere IPS in Python and Go lang.

2019 - 2020

2018 - 2020
Student at Faculty of Electrical Engineering, Czech Technical University in Prague Student at Faculty of Electrical Engineering, CTU in Prague Student at Faculty of Electrical Engineering, CTU Student at FEE CTU

My study programme was Open Informatics, with a major in Cyber security. My Diploma Thesis Trust models on adversarial distributed security agents , demonstrates how P2P can be used to improve detections of a network of intrusion prevention systems.


Internship at Department of Cybernetics, FEE CTU Internship at FEE CTU

At the Center for Machine Perception, I helped with the development of FERDA, a computer vision based tool for biologists. I later moved to robotics, where I worked on several small tasks related to autonomous driving. My Bachelor thesis was also developed in the department.

2015 - 2018

2015 - 2018
Student at Faculty of Electrical Engineering, Czech Technical University in Prague Student at Faculty of Electrical Engineering, CTU in Prague Student at Faculty of Electrical Engineering, CTU Student at FEE CTU

In the study programme Open Informatics, I majored in Informatics and Computer Science, with a Minor in Networking. My Bachelor thesis Simulating Realistic Local 3D Maps from Geometric Models built with Generative Adversarial Networks can be used to train robotic movement in various terrains.