29 Feb New Fortscale 2.5 Fights Insider Threats with a New Generation of Autonomous Machine Learning
Company Debuts Fortscale 2.5 User Behavior Analytics at RSA Conference 2016
SAN FRANCISCO-(BUSINESS WIRE)-Fortscale Security Ltd., the security pioneer in machine-learning-based user behavior analytics (UBA), today introduced Fortscale 2.5 that features a totally new generation of autonomous, rule-free UBA technology. Fortscale 2.5 finds and fights insider threats automatically with an award-winning solution of unmatched intelligence, autonomy and scalability. Fortscale 2.5 debuts exclusively at RSA Conference 2016 in San Francisco, in Booth S1939.
“Security professionals demanded better UBA,” said Idan Tendler, Founder & CEO, Fortscale. “So we built it.” First-generation UBA tools were great at finding anomalies, but human analysts still had to sift through thousands of false positives. Fortscale 2.5 automates that analysis and delivers astonishing accuracy, virtually eliminating false positives and actually reducing the SOC analyst’s workload – all while finding more real threats. This, together with numerous feature and performance enhancements makes Fortscale 2.5 the most sophisticated UBA offering on the market.”
New Fortscale 2.5 Features:
- SIEM-Friendly, Analyst Approved – Fortscale 2.5 works with your favorite SIEM, helping your team root out insider threats and preemptively silence false positives.
- Analyze Behavior Anywhere - Fortscale 2.5 can ingest access and authentication logs from almost any source, turning everyday IT housekeeping files, and even home-grown applications, into valuable new behavior-intelligence sources. Analyze logs from network printers, Windows account management tools, Oracle, NTLM, Kerberos TGT and even Salesforce.
- Self-Tuning, Self-Optimizing – Fortscale’s machine-learning engine automatically builds and continuously updates “baseline” behavior models, making itself an expert on your network and getting better every day you use it.
- Superior Automatic Anomaly Detection – SMART™ Alerts - Sophisticated multi-dimensional statistical analysis and meta-analysis engines eliminate false positives and spot anomalies that other UBAs miss.
- Instant Drill-Down – With one click, analysts can drill down into the events and anomalies associated with an alert. This can deliver a deeper understanding or create an entirely new avenue of investigation that might have previously been missed.
- Custom Tags & Filters - New custom tags let your analysts factor in situation-specific context. Set up and filter by any number of tags for different users, applications or environments.
- Investigator-Friendly Interface - The industry’s best UI automatically brings urgent issues to the top of the queue, focusing analyst attention on what matters most, right now.
Fortscale’s research and development efforts continue to garner recognition for fundamental advancements in UBA technology. Fortscale was named “2016 Leader in Threat Detection” by Cyber Defense Magazine and “Most Valuable Security Product’ from Computer Technology Review for 2015.
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About Fortscale
Fortscale ends insider threats with a totally new generation of rule-free, autonomous behavior analytics based on machine learning. With no rules to set up, Fortscale’s user behavior analytics engine starts getting smarter the second you turn it on. Fortscale models your users and systems autonomously, on-the-fly. Fortscale spots anomalous behavior quickly, accurately and doesn’t need constant “babysitting.” It might sound like magic, but it’s mostly just really good math – and only Fortscale has it. Backed by Intel and Blumberg Capital, Fortscale ends insider threats, lowers analyst stress-levels and makes your whole security operation work a whole lot better. For more information, visit fortscale.com.
Contacts
LMGPR
Paul Fernandez, 408-439-4828
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