Netskope decodes cloud and web traffic legacy defenses miss to protect against cloud-enabled threats and new cloud kill chain vectors. The next generation of secure web gateways unifies multiple threat protection defenses that are cloud-aware and cloud-smart with cloud performance and scale.
This edition of the Cloud and Threat Report takes a look back at 2022 and highlights the most significant trends relating to cloud adoption and threats on the web and in the cloud. Cloud malware downloads, which remained constant in 2021, have started to rise again in 2021, caused by an increase in the total number of apps from which malware is downloaded and an increase in the number of downloads from popular apps. Malicious web content also continues to rise and is becoming more evenly spread out throughout the web to blend in and reach more victims.
Inspect managed cloud services and inline cloud and website traffic and stop malware by quarantining and replacing suspicious files with inert tombstone files or blocking inline downloads.
Leverage three options for prevention, detection, and advanced AI/ML-based threat analysis with the Netskope Security Cloud to ensure defenses match your needs.
Take advantage of user and entity behavior analytics (UEBA) to baseline your users’ normal activities and detect anomalies, in real time, including within peer groups.
Netskope Behavior Analytics (UEBA)
Leverage machine learning (ML) behavior analysis across the rich metadata of cloud and web traffic, plus API inspection of managed apps and cloud services to detect anomalies, plus rich contextual sequential anomaly rules including the following:
Prevent cloud phishing and cloud-enabled threats with granular policy controls that enable company and personal instances, while blocking rogue account instances, payloads, and data exfiltration.
Detect insider threats with rich policy context, DLP for content, and behavior analysis for anomalous activity for cloud services and apps.
Leverage machine learning to detect anomalies across large sets of metadata rich with context for cloud services, apps and web traffic.
Inspect managed cloud services and inline cloud and website traffic and stop malware by quarantining and replacing suspicious files with inert tombstone files or blocking inline downloads.
Leverage three options for prevention, detection, and advanced AI/ML-based threat analysis with the Netskope Security Cloud to ensure defenses match your needs.
Take advantage of user and entity behavior analytics (UEBA) to baseline your users’ normal activities and detect anomalies, in real time, including within peer groups.
Netskope Behavior Analytics (UEBA)
Leverage machine learning (ML) behavior analysis across the rich metadata of cloud and web traffic, plus API inspection of managed apps and cloud services to detect anomalies, plus rich contextual sequential anomaly rules including the following:
Prevent cloud phishing and cloud-enabled threats with granular policy controls that enable company and personal instances, while blocking rogue account instances, payloads, and data exfiltration.
Detect insider threats with rich policy context, DLP for content, and behavior analysis for anomalous activity for cloud services and apps.
Leverage machine learning to detect anomalies across large sets of metadata rich with context for cloud services, apps and web traffic.
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