Skyhigh detects compromised accounts based on unfamiliar and untrusted login locations, consecutive logins from locations that imply impossible travel, and brute-force login attempts, even across multiple cloud services.
“Skyhigh integrated seamlessly with our existing providers like Zscaler, and feeds into our SIEM, so we get the information that is important for us and we can continue to be fast, lean, and agile.”
“Skyhigh helps us understand how employees use the cloud and identify insider threats, compromised credentials, and excessive privileged user access.”
“What we needed was granular visibility into what our users were doing and the ability to provide policy controls for different business units.”
“In an environment with millions of unique events each day, Skyhigh does a nice job of cutting through the noise and directing us to the areas of greatest security concern.”
Identify cyber attacks and malware that leverage unmanaged shadow IT cloud services as a vector for data exfiltration for information stolen from on-premises applications and databases.
Delivers a threat protection dashboard and incident-response workflow for potential insider threats, privileged user threats, and compromised accounts.
Correlates multiple anomalous events within a cloud service or across cloud services to accurately separate true threats from simple anomalies.
Automatically builds a self-learning model based on multiple heuristics and identifies patterns of activity indicative of a malicious or negligent insider threat.
Analyzes login attempts to identify impossible cross-region access, brute-force attacks, and untrusted locations indicative of compromised accounts.
Identifies excessive user permissions, zombie administrator accounts, inappropriate access to data, and unwarranted escalation of privileges and user provisioning.
Provides an adjustable sensitivity scale for each anomaly type with real-time preview showing the impact of a change on anomalies detected by the system.
Provides a comprehensive audit trail of all user and administrator activities to support post-incident investigations and forensics.
Leverages machine learning to identify traffic patterns indicative of malware or botnets exfiltrating data from on-premises systems via cloud services.
Identifies stolen credentials acquired in phishing attacks and leaked from breached cloud services to reveal users and services at risk.
Integrates with malicious domain/IP databases, identifies uploads to untrusted destinations, and flags uploads associated with spyware, phishing, and botnets.
Combine Skyhigh anomaly and event data with events from other systems and leverage your existing incident remediation process.