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Blendata helps cybersecurity analysts with its ability to perform data forensic that can handle a much larger volume of data compared to any traditional Logger, where users can search and query for any massive historical data in seconds. Reports and dashboards can be created using our drag & drop interface that requires no coding while also supports advanced AI/ML use-case development such as Proactive threat hunting.
1. Build your Cybersecurity Data Lake with ease
It is pretty common that many cybersecurity analysts must face Big Data problems when it comes to doing forensics and drilling down into any cyber incident. As day-by-day, the volume of unstructured and semi-structured data (such as log files) builds up extremely quickly, in which most traditional log management solutions could not handle the amount. With Blendata, security analysts can build a big data lake with logs from network, infrastructure, and security devices, making data available for forensic analysis in seconds regardless of the scale.
2. Operational Dashboard
Build day-to-day operational dashboards to summarize data for faster actions using our built-in visualization features which includes advanced charts such as Sankey, Wordcloud, or simple charts such as heatmap.
3. Advanced Analytics with ML
With the power of Big Data in your hands together with Blendata’s functional customizable jobs (with SparkML library supported), you can implement your own cyber threat hunting solutions using advanced analytics methods such as anomaly detection, threat prediction and many more.
Blendata, an all-in-one Big data platform that requires no coding!
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