Data Scientist, Atos, Bydgoszcz, Poland
The use of Big Data Analytics, Machine learning and threat models in the toolset of Prescriptive SOC makes the Information analysis and processing layer reliant on data science profiles with solid Cyber Security competences. In fact, the Big Data & Analytics tools alone or misused can be ineffective ; i.e produce false negatives while generating for your already challenged SOC more workload from processing their false positives. The cyber data scientists play an essential role in the new Security operations Centers by developing and continuously improving this toolset making it more and more efficient in the mission that it has been designed for detecting and rapidly responding to security threats.
The data scientists will apply their expertise in many areas:
Depending on the function of the Analytics tool, they need to understand which data sets are needed to train the tool. They will have to search for such data sets and sometimes generate them, such as behavioral records of malware from a sandbox or patterns of malformed queries. The more they provide a relevant and wide feed to the tool the more efficient is the detection or prediction outcome
Data scientists need to continue to develop new models of threats and attacks using the experince gained from their cyber analysis.
They need to create custom visualizations or data queries to a detection scenario specific to businesses, assets or threat vectors.
Data scientists need to apply governance on the models created
Data scientists have to communicate with cyber analysts (non-data scientist) to discuss the alerts
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