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One crucial system that is a must when it comes to banking is cybersecurity, in which the complexity and intensity of cyberattacks are only going up as the days go by. Any traditional data storing tools such as a logger has a limiting constraint when it comes to working with a massive amount of data which is its inability to perform data forensic directly. This leads to a delay in data analysis and hence the resolution of any cyber incidents.
Blendata can integrate data from multiple tools and sources including security devices, networks, devices, infrastructure, or even application data into a single centralized platform. This allows the cybersecurity analysts to perform data forensic over a large amount of data directly from the platform, reducing the resolution time. Additionally, Blendata provides useful functions such as simple query, visualization dashboard, alert notification, and even the capability to deploy AI/ML model for advanced analytics, for instance, improving upon their firmware or developing a cyberattack prediction model from behavior analytics and anomaly detection
(which can be developed from other environments).
Blendata can integrate data from multiple tools and sources including security devices, networks, devices, infrastructure, or even application data into a single centralized platform. This allows the cybersecurity analysts to perform data forensic over a large amount of data directly from the platform, reducing the resolution time. Additionally, Blendata provides useful functions such as simple query, visualization dashboard, alert notification, and even the capability to deploy AI/ML model for advanced analytics, for instance, improving upon their firmware or developing a cyberattack prediction model from behavior analytics and anomaly detection (which can be developed from other environments).
With Blendata – enterprise, this lifts the constraints of any traditional cybersecurity tools into a platform where data forensic can be performed directly on the massive dataset easily without any limitations such as the number of reports or fields or the storing data, which can be scaled up freely. Additionally, with the available customer behavior data, Blendata – enterprise allows cybersecurity analyst to develop their own predictive model from it to further improve the cybersecurity of the bank to protect any sensitive data from any attacks.
Data forensic and searching of massive historical data can be done within seconds, together with the capability to create dashboards without coding.
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