Gina Doekhie – Fox-IT – Thema: Data

Zaal 3: 14:45 – 15:15 uur

Hoe veilig is je klantdata en wat als het toch lekt?

Dagelijks zijn er berichten in het nieuws over grote datalekken en gevallen van computerfraude. Hoe zorgt u dat uw bedrijf binnenkort niet in het nieuws komt vanwege een incident? Forensic IT Expert Gina Doekhie neemt u mee in de wereld van computerfraude en cybercrime en geeft u praktische tips om een incident te voorkomen, maar ook hoe u de pijn verzacht als het dan tóch gebeurt…

Gina Doekhie – Forensic IT Expert | Fox-IT

Gina is Forensic IT Expert at Fox-IT’s Forensics and Incident Response department. Before Gina came to work at Fox-IT, she graduated with a double Master’s degree at the University of Amsterdam. She studied Artificial Intelligence (AI), which she really enjoyed: “ICT combined with psychology, simulating the mind of a human being on a computer.” After her bachelor’s Artificial Intelligence she started the Master with a specialization in Forensic Intelligence. However, the emphasis was not on Forensics. Therefore she chose a second master Forensic Science, where I learned all about DNA, fingerprints, trace evidence and forensic processes.

At Forensics Gina works on digital forensics, but also gives a lot of training and helps with e-discovery cases. The work at Forensics is very diverse. If a client calls when an incident occurred, we must act quickly. Gina first conducts an intake interview with the client, and then draws a plan of action. If the client agrees, the data will be secured in the Fox-IT lab. When that’s done, the real investigation can begin.

Gina also worked at the Managed Security Services (MSS) department for a while. “The MSS department monitors 24/7 our clients’ systems and networks. They detect, investigate and resolve cyber threats and suspicious activity, such as hacking, data leaks or virus outbreaks. I helped MSS redesigning a system that handles large amounts of data. My knowledge of artificial intelligence algorithms was very useful to analyze and recognize data patterns.
Wil jij Gina zien spreken op de DDMA Data Dag? Koop dan hier je ticket!