SQream Technologies provides the most cost-effective, petabyte-scale big data analytics SQL database that is capable of processing and analyzing mountain loads of critical and detailed information. The big data analytics database when integrated with advanced IT security technologies, can discover and determine the identity, lineage, and provenance of the attacker.
SQream Technologies flagship data analytics solution SQream DB encompasses GPU-based technology (Graphic Processing Unit) that complements the overall performance of the analytics engine. The SQream DB upon integration with the customer organization’s security environment provides with automated analysis of the customer’s network and pinpoints threats, derived from various sources such as mobility, cloud, and network. The SQream DB is upgraded with forensics capabilities and actionable intelligence to provide customers with quick incident responses. “We help our customers identify data patterns that indicate suspicious behavior and then track the threat vectors and their sources,” confides Gal.
We help our customers identify data patterns that indicate suspicious behavior and then track the threat vectors and their sources
Adding further credence, SQream DB is deft in storing, processing and analyzing streamed online data against historical information–up to 100 times faster. Usually in most of the cyber security systems employed by the organizations, a lot of data is filtered and only samples of data are actually analyzed to trace the anomalies, which does not lead to any accurate findings or conclusions. However, with SQream, deep analysis can be performed on large data sets pertaining to the past— longer time frames upto approximately 18 months.
Taking advantage of SQream Technologies’ deep expertise was one of their prominent clients with over a thousand users. The client wanted to analyze the behavior of their users inside the organization to detect any kind of malicious intent and activity. The client was looking for a data storage system with retention capabilities for larger timeframes in order to trace abnormalities in the data sets of the previous six to 18 months. “After incorporating SQream DB with their end to end solution the client’s performance to trace a lot of abnormal activities in user behavior was faster and they could proactively enhance their security standards,” remarks Gal.
Adding to their growth trajectory, SQream Technologies will be soon bringing forth exclusive cyber defense solutions for Internet of things (IoT) enabling multi sensor analytics in real-time and location. “We are also going to scale solutions for larger data sets use cases,” adds Gal. Besides, the firm is planning to widen their global customer base in Europe and North America.