Data represents the engine of transformation in the digital economy, and this is the reason why it is considered “the oil” of new economy.
Data are the least exploited, and least valued assets of an organization. They hide some of the most important information that can be possibly acquired, at the IT level and throughout the company:
- where problems occurred
- how to optimize the user experience
- the traces left by fraudulent activity
- analyzing historical data to find recurring patterns
- predicting future trends in a Data Driven economy
All this information can be identified in data generated by the organization’s normal activity.
SOC 4.0 and Cybersecurity
With the advent of Big Data and its related analytical techniques, it is possible to use raw and/or unusable data sources, also by correlating information that is external to the IT world, considering it’s effect on business by providing results to the stakeholders.
In 2018, 90% of organizations feel vulnerable to insider attacks, both voluntarily and due to negligence, mainly related to the high number of privileged accesses given, unmonitored devices connected to the corporate network, and IT’s increasing complexity.
Often the data are not centralized in internal silos but reside in external environments: this implies that there is no longer a well defined, stationary perimeter, that clearly separates the company from the outside world.
“Product-based” Cybersecurity, built only on its technological part (DLP/AIM/PAM), is doomed to to fail, because it’s necessary to understand and integrate the business operation processes: therefor, to ensure that security becomes a company value, it is necessary to acquire an analytics engine that implements machine learning and neural networks predictive algorithms, in order to allow an advanced event correlation.
At our headquarters in Genoa , we have set up a class “C” bridge simulator, equipped with an instructor station, to manage all the aspects of simulation based training. Our simulator allows to accomplish various types of training, both commercial and educational, also by creating cyber attack scenarios on the vessel: through Anomaly Detection algorithms we are able to detect any unplanned behaviour.
IoT and Industry 4.0
Data analysis allows companies to know when the machines are about to break, and carry out the necessary maintenance, before the machine stops or breaks. Another element to consider is the reduction of repair costs, which, in case of highly specialised machinery, can weigh heavily on the budget of any company, no matter how big or small.
The development of sensors and the broadband diffusion (both fixed and mobile ) allows to find data in any condition and geographical location.