Lock Down Critical Assets
Behavior Analytics to Prevent Breaches
Sideband is turning security “inside out” with a unique approach that puts the focus of security on critical assets, the true target of bad actors. Sideband’s solution uses behavioral analytics and machine learning to function as a behavioral tripwire, detecting suspicious behavior before a breach occurs.
Sideband adds value to existing network security infrastructures
Complements SIEM deployments by delivering premium contextual alerts directly to your security management infrastructure
Continually profiles normal behavior to spot anomalies and alert perimeter-focused systems to internal behaviors
Next Generation Firewalls
Provides network behavioral profiling and real-time monitoring of east/west traffic associated with assets
Network management and change control
Delivers reporting for behavioral validation that network policies are configured correctly
Get the Facts
Download the Sideband SBN Appliance Datasheet
Download the Sideband Datasheet on Integration with Splunk Enterprise
Sideband solutions help you prevent breaches by continuously monitoring communication to and from critical assets, and alerting your network and security operations to real events. The Sideband solution is a self-learning system that deploys quickly and stops work-arounds by bad actors.
Next Generation of Breach Detection
Watch this video to learn how Sideband’s solution uses behavioral analytics to detect bad behavior and protect critical data assets from being breached.
Intel Chip Chat
Listen to Stephen Pieraldi, Sideband’s Vice President of Development explain how our solution works to analyze the entire network stack to identify abnormal traffic behavior in this episode of Intel Chip Chat
Sideband is working with leaders in the industry to add value to security infrastructure investments.
Address: 550 South Winchester Blvd, #300
San Jose, CA 95128
Phone: 844-SBN-TECH (844-726-8324)
Sideband leverages live data analytics to develop a real time view of network behavior, then uses this information to continuously monitor for the kinds of anomalous behavior that indicates a data breach, insider threat or operational issue.