The use of cloud services is increasing rapidly in organizations everywhere. More importantly, many of these cloud services are becoming mission critical, supporting your core business processes and housing your sensitive business data. With the growing importance of the cloud, it is critical to guard against threats to your cloud services.
The Netskope Active Platform uses machine learning algorithms and an advanced rule engine to detect anomalies that could indicate unauthorized access, credential abuse, data exfiltration, and more. Netskope adaptive machine learning continuously analyzes user behavior and detects deviations that could indicate malicious activities. Netskope also analyzes cloud usage against an extensive set of predefined conditions. You can prioritize anomalies by risk level, filter down to what matters most, and drill down into forensic details for a detected anomaly so you can take the appropriate action.
Netskope adaptive machine learning continuously analyzes multiple dimensions of user behavior to create a baseline of normal user behavior. This baseline is automatically and continuously adjusted based on the changing usage of your cloud services. When deviations from the baseline are detected, alerts are generated to trigger further investigation and corrective action.
With more of your sensitive data moving to the cloud, it is vital to understand how your data is moving in and out of your cloud services. Netskope identifies data movement anomalies such as bulk downloads, uploads, and deletions as well as the movement of sensitive data between cloud services that could indicate a data exfiltration attempt.
The anytime, anywhere nature of the cloud provides clear productivity benefits to your organization, but unfettered cloud access opens up your organization to unnecessary risks. Netskope helps you reduce the attack surface of your cloud services by analyzing the geographic locations associated with your cloud usage and detecting location-based anomalies that could indicate malicious activity.
With visibility into activity-level usage across your cloud services, as well as threat intelligence feeds that allow you to associate your users with known external credential breaches, Netskope provides the ability to detect potential credential misuse and remediate the risk of unauthorized access to your cloud services.
The Netskope risk dashboard provides a high-level view of risk across all of your cloud services, including risky services, risky users, malware, compromised credentials and anomalies.
People often reuse their passwords across multiple sites, so it’s important to know if any of your users have been affected by an external credential breach. The compromised credentials dashboard helps you identify any affected users and the source of the compromised credentials.
The anomalies dashboard provides a high-level view of any anomalous behavior detected in your cloud services. It also provides the ability to filter by risk level, anomaly type, and more to quickly focus on what matters most.
From the high-level view of detected anomalies, it’s easy to filter by risk level or anomaly type and drill down into a specific anomaly. This detailed forensic information helps you assess the situation and drive correction action.
Use Netskope machine learning and user behavioral analytics to detect unusual data patterns, such as bulk downloads, that could indicate that an employee is amassing sensitive information in advance of leaving the organization. Use Netskope Cloud DLP to understand which content is being collected, and use this information to drive further investigation and take appropriate action.
Many people reuse their usernames and passwords, so it is important to know if any of your users have been affected by an external credential breach. You can use this information to raise awareness with your users, or leverage Netskope integrations with single sign-on (SSO) solutions to require a password change or stepped up authentication for any affected users.
Anomalous locations could be another indication of unauthorized access attempts. Use Netskope machine learning and user behavioral analytics to baseline the normal locations from which your users access your cloud services. Reduce the attack surface by detecting access attempts from risky or improbable locations and use this information to inform your cloud security policies.