Fortscale is officially introducing its innovative flagship product that helps enterprise security analysts identify user-related threats, malicious insiders, compromised accounts, suspicious behavior and risky access to data by extracting Big Data repositories with user behavior analytics. Using a state of the art, Big Data analytics and pure machine learning approach to cyber security, Fortscale’s solution leverages SIEM log repositories and adds an enrichment layer that profiles user behavior and provides investigation capabilities to solve these specific challenges.
As we have recently seen, user-related threats, whether they are insiders such as Snowden or compromised users that were the likely vehicles of breaches in Home Depot and Target, continue to grow at an alarming rate,” said Idan Tendler, CEO & Co-Founder, Fortscale. “Our user behavior analysis makes enterprise security teams analytics savvy to help them discover, identify and investigate compromised users, malicious insiders and questionable users that are likely to commit malicious activities. With Fortscale, security analysts now have all the information necessary to remediate user-related threats.”
Key features of the Fortscale solution include:
Sophisticated Machine Learning Algorithms: Machine learning algorithms that discover patterns and high-risk behavior of users without pre-defined rules, heuristics or thresholds.
Analyst-Friendly Toolbox Interface: Facilitating a proactive, efficient investigation process using analytics package sets, canned reports and dashboards that facilitate and expedite the process of creating faster and more effective context-based prediction of risky user behavior.
Advanced Visualization Tools: Discovering potential cyber threats and visualizing prioritized leads for analysts in an informative way, which can then be further refined using the analysts’ input.
Dynamic Analytics Environment: Easy customization and expansion of information sources, integration to various security products and modification of reports and dashboards.
Multi Platform: Scalable integration with an enterprise’s big data repository or SIEM systems, powered by a robust Hadoop environment.
Fortscale supports multiple use cases including discovering targeted attacks that leverage compromised user credentials, identifying rogue users and profiling malicious users’ access to data. Fortscale customers have benefitted from predictive intelligence capabilities, the ability to evaluate and mitigate risks, obtaining fast results and achieving an improved ROI on their existing SIEM investments.
Among Fortscale’s customers is Playtech, an international designer, developer and licensor of software for the online, mobile, TV and land-based gaming industry.
Since deploying Fortscale’s solution, our security team has achieved better visibility and a deeper understanding of user behavior within our network,” said Jochanan Sommerfeld, CIO, Playtech. “Fortscale enriches our existing SIEM system with user behavioral analytics and enhances our security analysts’ capabilities and overall effectiveness.”