Features

Features

Network threat detection

• How machine learning anomaly detection works inside SAP

  SAP CSO Justin Somaini discusses how SAP uses machine learning for security tasks, like anomaly detection, and compares supervised and unsupervised algorithms.  Continue Reading

• Get the best botnet protection with the right array of tools

  Enterprise anti-botnet defenses, to be effective, must be added in multiple layers. No single security product will do the trick, but the right combo of tools can.  Continue Reading

• Five questions to ask before purchasing NAC products

  Organizations are recognizing the need for network access control systems, but it is important to evaluate and perform research before you invest in enterprise NAC products.  Continue Reading

• User behavior analytics leads the security analytics charge

  Will no longer playing by the rules help companies find insider threats? As user and entity behavior analytics gets closer to SIEM tools, enterprises take notice.  Continue Reading

• What SIEM features are essential for your company?

  On the hunt for the best SIEM tool for your company? Learn how to evaluate the capabilties of the newest security information and event management products.  Continue Reading

• Machine learning in cybersecurity: How to evaluate offerings

  Vendors are pitching machine learning for cybersecurity applications to replace traditional signature-based threat detection. But how can enterprises evaluate this new tech?  Continue Reading

• Learn what breach detection system is best for your network

  Breach detection systems are essential in these days of machine learning and artificial intellingence. Learn how to identify the features and functions your network needs.  Continue Reading

• Enterprise scenarios for threat intelligence tools

  Expert contributor Ed Tittel explains which types of organizations need threat intelligence tools as part of a proactive, layered security strategy to protect against threats.  Continue Reading

• Politics of cyber attribution pose risk for private industry

  Why nation-state attribution plays a major role in the U.S. government's willingness to share cyberthreat intelligence with private-sector companies.  Continue Reading

• Security looks to machine learning technology for a cognitive leg up

  Advances in machine learning technology and artificial intelligence have proven to work well for some information security tasks such as malware detection. What's coming next?  Continue Reading

• IBM QRadar Security Intelligence Platform: Product overview

  Expert Dan Sullivan takes a look at how the IBM QRadar Security Intelligence Platform collects data from multiple sources so as to provide a comprehensive view of IT security.  Continue Reading

• LogRhythm's Security Analytics Platform: Product overview

  Expert Dan Sullivan examines LogRhythm's Security Analytics Platform, a product that leverages big data analytics and machine learning to help protect enterprises.  Continue Reading

• Splunk Enterprise Security: Product overview

  Expert Dan Sullivan explores how Splunk Enterprise Security uses big data security analytics to incorporate multiple methods of data integration to identify malicious events.  Continue Reading

• Fortscale UEBA: Big data security analytics product overview

  Expert Dan Sullivan examines Fortscale's user behavior analytics platform, which is built on Cloudera Hadoop and incorporates machine learning and big data security analytics.  Continue Reading

• Cybereason Detection and Response Platform: Product overview

  Expert Dan Sullivan explores how the Cybereason Detection and Response Platform uses big data security analytics to identify malicious events and better secure enterprises.  Continue Reading