Do you know what’s happening in the cloud at your organization?
Blog Article Published: 03/26/2014
By Sanjay Beri, Founder and CEO, Netskope For as long as “Shadow IT” has existed, technology vendors have encouraged IT professionals to uncover unsanctioned apps in their organizations so they can block them. But people rely on apps like Box, Dropbox, Evernote, Jira, and Workday for business critical functions. A recent Cloud Report revealed that 90 percent of organizations grossly underestimate the number of cloud apps running in their environment, and 77 percent of cloud apps are not enterprise ready. The cloud is such a part of standard practice that blocking even non IT-run apps isn’t an option anymore. With just a little diligence, you can eliminate the catch-22 of letting people use the cloud apps they want while protecting the enterprise from data loss and network threats. By looking closely at cloud app usage, implementing granular policies, and using data to have a conversation, you can make employees more productive while protecting the business’ interests. Here are ten ways:
- Evaluate app risk. Discover the cloud apps in your environment and evaluate their risk against an objective yardstick. You can comfortably deploy and manage low-risk apps. For higher-risk ones - especially ones you don’t procure or administer – go a step further to evaluate how those apps are being used in your enterprise. Are they broadly deployed or used in important ways? Do they deal with sensitive data? If so, you may need to limit certain activities (e.g., share) across all of the high-risk apps or partner with the business to select less risky alternatives.
- Monitor usage. Go beyond simply discovering cloud apps in your environment to understand what people are doing in them. Measure users and usage volume to ascertain scope of the app’s impact. For heavily-used apps, identify activities (e.g., sharing, downloading, and editing), and build a business case to either support the app or, in the case of redundancy, suggest consolidation. Finally, look at usage through a risk lens, assigning each activity a risk level. When you find an app in which users are performing high-risk activities, set a policy blocking the risky activity.
- Look for anomalies. When monitoring activities, it’s important to set a baseline so you can detect anomalous behavior. Create a set of activities you regularly track for that could signal risky behavior or an external attack. Anomalies to watch out for include sudden spikes in usage, excessive downloading, and log-ins in from atypical locations or from two locations at once.
- Block an activity, not an app. Some technology vendors encourage IT to uncover unsanctioned apps so they can shut them down. This sledgehammer approach is so yesteryear and pits IT against the business. Rather than block apps wholesale, analyze the activities within apps that represent the most risk (e.g., downloading to a mobile device, sharing with someone outside of the company) and block them. This lets you shape the activity to mitigate risk. Make sure you do this for not just the apps you manage but especially for the ones you don’t.
- Protect data in context. Adopters of data leakage prevention solutions – or any detection technologies for that matter – know full well that too many false positives erode the value of a solution. Rather than just detect patterns or key words, define granular contextual situations incorporating user, group, app category, location, device, and activity (such as upload or share) that help narrow the scope of where a data breach is likely to occur. This helps increase accuracy when you do apply data loss prevention techniques such as blocking or encrypting.
- Have a conversation. Some businesses need to comply with strict regulations like PCI or HIPAA, but at the same time need to allow usage of cloud apps. In this case, when you find an app or app behavior that could hurt your compliance status, learn how the app is being used, come up with a few options to improve your compliance status, and then have a conversation about it with the user or line of business. Tapping someone on the shoulder and having a data-driven conversation increases the chance of an optimal outcome for everyone.
- Provide alternatives. If you need to block a certain app because it doesn’t meet your industry’s compliance needs, investigate and provide alternatives. It’s possible to identify apps that have similar features and functionality to riskier ones. Tell your staff why certain apps put the business at risk (e.g., poor auditability or lack of HIPAA compliance) and offer choices that better meet your criteria. This positions you as a problem-solver and increases the chances that personnel will solicit your input before procuring a cloud app next time.
- Trust but verify. Many businesses are reluctant to put onerous policies in place because their corporate culture centers on trusting people. However, being too trusting can compromise security and open you up to data leakage. To balance this, audit your cloud app usage on a periodic basis and set watch lists for particular behaviors that can signal a potential data breach or malicious activity.
- Do post-event forensics. Besides audits, perform forensic analysis after a suspected breach. For example, if a departing employee steals proprietary content to take to a competitor by downloading and re-uploading it to a cloud storage app, reconstruct a trail of those activities to generate the evidence you need to take action and even recover the content.
- Get specific. Run analytics and set policies based on combinations of app, category, user, group, location, device, OS, browser, time, app confidence score, activity, and content. This specificity allows you to be alerted when people in Investor Relations share content from a cloud app during the company’s quiet period, block downloads of sensitive documents to mobile devices, prevent HR employees from accessing salary data outside of work, and limit content uploads for people in Germany to apps hosted in the United States, among other parameter combinations.
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