SQream Technologies: High Performance Analytics to Prevent Cyber Attacks

Ami Gal, CEO & Co-founder
Today hackers employ the most advanced and sophisticated techniques to infiltrate confidential corporate and enterprise data networks. The adversaries are also staying up-to-date with in depth defense strategies in order to be successful at intercepting the most guarded data systems. To combat the sophisticated intrusions, organizations are shelling out huge money to embark upon big data analytics to analyze, visualize and draw insights from massive amount of information to predict, stop and mitigate the cyber attacks. The enormous amount of data load, usually stored in the network systems, on premise or on cloud, once breached cannot be protected and it is very challenging to have all the data encrypted and operated at the same time. Envisioning the data boom and the associated cyber security challenges plaguing it, SQream Technologies provides cost-effective and efficacious ways to stall cyber-attacks by deriving intelligent insights from large data sets. “Our analytics empowers the CISOs to proactively detect, prevent and remediate any untoward intrusions,” delineates Ami Gal, Co-founder and CEO, SQream Technologies.

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.

SQream Technologies

New York, NY

Ami Gal, CEO & Co-founder

Provides effective ways to proactively detect, prevent and remediate cyber-attacks, by deriving rapid insights from large datasets

SQream Technologies