Cyber Security

In the old days, when a CISO wanted information, he’d have to wait for a few days or weeks, and if lucky, a few hours – to get the information needed for decision-making. When a company is under attack, time is of essence. And so is the extent of data being analyzed.

SQream DB is a database that can store, process and analyze streamed online data against deep historical data – up to 100 times faster than any other key market player.

With SQream, a deep analysis can be acted upon quickly, with a clear impact on real-time (or near-real-time) decision-making and business responsiveness.

SQream Technologies empowers CISOs with a more effective way to proactively detect, prevent and remediate rapidly-increasing cyber-attacks, by connecting and correlating high volume of multi-sources data. With SQream, organizations are able to identify patterns and suspicious behavior, track down the activity and mobility to the source, and prevent or mitigate cyber-attacks. By combining big data analytics with security technologies, organizations are able to stay ahead of evolving threats with a strong defense posture.

Big data analytics tightly integrated with the security environment provides high-speed, automated analysis of network activity for detection and prevention of threats, shortens the time-to-remediation when attacks occur, and improves compliance.


Cyber Security + SQream = Enhanced Defense Posture

  • Cyber security as a competitive advantage in the marketplace
  • Control over massive amounts of data pinpointing to security threats, deriving from different sources such as: insider threats, mobility and cloud, network
  • Rapid actionable intelligence for quick incidence response
  • Identification of complex patterns
  • Significantly upgraded forensics capabilities and traceability


Forensics and Investigation: Identifying Cyber Attackers’ “DNA”

The cyber attacker has a digital equivalent of genotype and phenotype. The SQream DB big data analytics database can store and analyze multi-petabytes of data, and can therefor assist when integrated with advanced IT security products, in discovering and determining the identity, lineage, and provenance of the attacker. This can be done through tracing the attacker’s “DNA” back to the “crime scene”.

Big data analytics for Cyber defense and investigation:

  • Storing and analyzing massive amounts of data collected, identified and characterized.
  • Insights from the properties and relationships derived from collected digital artifacts of software, data, and/or users.
  • “Digital artifacts” are collected from computers, distributed information systems such as ‘cloud computers’,” wired or wireless networks, and more.


Ultra-Fast Actionable Intelligence – Quick Incidence Response

Leveraging of storage and performance capabilities of mature/emerging Cyber Security technologies – up to 100 terabytes on a single server – leads to more comprehensive insights.

  • High-Speed automated analytics on massive amounts of data – up to multi-petabytes
  • Connection and correlation of high volume of multi-sources data
  • Ultra-fast detection and prevention of threats
  • Shortening time to remediation when attacks occur
  • Improved compliance
  • Decrease in negative-false/positive-false outcomes


Comparing Today’s Data with Yesterday’s

CIOs need to know what is going on now, and be able to compare it to previous months. They need to be able to store and analyze millions of “transaction flows”, for:

  • Identification and prediction of performance problems, optimization
  • Root cause analysis
  • Security-related issues (who misused or corrupted what data, when and where)
  • Capacity planning
  • Predictions of applications and infrastructure changes’ impact on IT reliability
  • Auditing and archiving purposes of every business transaction

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