PREDICTIVE SECURITY ANALYTICS FOR DETECTING AND REDUCING UNKNOWN THREATS AND ACCESS RISKS.
With so much more activity taking place on enterprise networks than ever before thanks to the cloud, bring your own device (BYOD) and the internet of things (IoT), the attack surface has expanded exponentially. In fact, it has reached the point where traditional tools like firewalls, intrusion detection systems (IDS) and SIEMs are no longer capable of keeping pace with the increased level of vulnerabilities present in our networks.
Network behavior analytics, on the other hand, has the potential to provide the visibility into threats that are not detected by traditional networking tools and equipment. Unlike approaches designed to detect specific network or endpoint intrusions, network behavior analytics monitors network traffic flows to establish a baseline of normal activity, and then looks for anomalies.
Why Gurucul Risk Analytics?
Model good behavior to expose unknown bad through peer groups, clustering and outliers.
Reduce and manage the account surface area with risk-based access controls.
Provide behavior analytics for on-premises and cloud application hybrid deployments.
Detect insider threats, account hijacking and abuse, plus data exfiltration.
Take advantage of intuitive security analysis of risk scoring events and focus on ‘find-fix’.
Run our analytics on your choice big data platform: Hadoop, Hortonworks, Cloudera.