Insider threats can expose your data from cloud services

Keep insider cloud activity from exposing your business

Insider threats

Although cybercrime and state-sponsored cyber espionage are often in the news, the reality is that you don’t need to look that far to find the most likely source of a data breach in your organization. According to the Ponemon Institute, 48% of cloud data breaches are the result of insiders intentionally or accidentally exposing data from a cloud service. As your organization adopts more cloud services for collaboration and sharing, what measures do you need to take to address the insider threat?

Because cloud services are built to be accessed any time, anywhere, from any device, and because most are designed for easy collaboration and data sharing, the risk of accidental or intentional exposure of your sensitive data is very real. Addressing the insider threat starts with visibility into your users’ activities in the cloud. Once you understand the cloud services in use and how they are being used, the next step is to put controls in place to minimize your users’ risky cloud activities and also detect suspicious behavior that could indicate a malicious insider. Netskope provides granular visibility and control of all cloud services, helping you to mitigate the risk of insider threats in your organization.


Key Features

Deep context

Netskope gives you a deep understanding of your organization’s usage of sanctioned and unsanctioned cloud services. You can view details such as user, device, location, service, activity, and data, and assess risk by understanding how sensitive data is being handled in your cloud services.

  • Understand usage by identity,service, activity, and data
  • Distinguish between sanctioned and unsanctioned instances of cloud services
  • Mitigate risk of inappropriate sharing and public links
  • Focus policies on specific risky activities
Advanced cloud DLP

Netskope Cloud DLP protects sensitive data in the cloud with accuracy and precision, with the ability to inspect all sanctioned and unsanctioned cloud services. Sensitive content is detected across 500+ file types and across structured and unstructured data, using 3,000+ data identifiers, metadata extraction, proximity analysis, fingerprinting, exact match, and more.

  • Control sensitive data in and en route to and from all cloud services
  • Get the highest degree of accuracy with fingerprinting and exact match
  • Further increase accuracy with keyword dictionaries, global data identifiers, and more
  • Target DLP policies using context like user, group, device,service, and activity
Granular control

Only Netskope gives you granular visibility and control over all of your cloud services. Rather than take a coarse-grained approach by blocking services, enforce your security policies based on identity,service, activity, and data. Choose from actions such as block, alert, bypass, encrypt, quarantine, and coach for policy enforcement.

  • Enforce policies across all cloud services based on identity,service, activity, and data
  • Protect sensitive data with advanced cloud DLP
  • Mix and match policy elements to carve out risk without blocking services
Anomaly detection

Netskope provides advanced user behavior analytics and machine learning to baseline your users’ normal activities and detect anomalies in real time. You can detect unusual data movement, excessive activities like sharing, compromised or shared credentials, and more.

  • Stop data exfiltration from sanctioned cloud services to personal cloud services
  • Identify bulk file downloads that could signal insider data theft
  • Flag potential risks from compromised user credentials

Cloud DLP in action

Preventing data leakage into unsanctioned cloud services

In this demo video, you’ll see how Netskope can prevent sensitive data stored in your sanctioned cloud services from being uploaded by an insider into a personal cloud storage service.


Identify data

A careless or malicious insider exposes your organization to the theft or exposure of your sensitive data. That makes it critical to identify sensitive data in all of your cloud services, whether or not they are sanctioned by IT. Be sure to examine data stored in your existing cloud services and also deploy real-time controls to inspect the data moving in and out of your cloud services.

Understand usage

It is important to have a complete understanding of your users’ behavior in the cloud, including granular details about devices, locations, services, and activities, to make well-informed policy decisions. Granular visibility will help you target careless or malicious insider behavior without getting in the way of the legitimate use of your cloud services.

Control activities

Once you understand the full context of your users’ activities, including the sensitivity of the data they are handling, you need to put the appropriate controls in place to carve out specific risky activities by your insiders. For example, block public sharing of sensitive data from your sanctioned cloud services, or prevent uploads of PII to personal cloud storage services.

Detect anomalies

You need to baseline your users’ normal activities and detect anomalies in real time that could indicate an insider threat. Leverage user behavior analytics to detect anomalies like data exfiltration to personal cloud services, bulk downloads, and shared credentials.

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