Securing data and the SaaS ecosystems has become more challenging in the new normal because employees are no longer bound within the supervised environment of their corporate network, and freely access, create, store and share sensitive business data from cloud applications through their personal networks or from third-party networks elsewhere.
The ever-growing reliance on cloud apps, whether sanctioned or unsanctioned, makes it harder for IT teams to monitor noncompliant data transfers made by employees working remotely. Securing both sanctioned apps that are approved for use by an organization and unsanctioned apps that make their way into the organization without approval is key to building a strong data security defense for every highly distributed cloud-first organization.
A countless number of SaaS-based cloud applications are available today to get any task done. These can range from note taking apps to file-sharing apps to social media, collaboration tools and many others.
Companies don’t have a way to monitor and control which applications are being accessed and used and by whom. SaaS apps are growing exponentially in numbers and many of them make their way into user’s hands without the explicit knowledge and approval of IT. Shadow IT apps transfer sensitive data, creating security gaps that put organizations at high risk of a data leak. Shadow IT is a persistent problem because IT departments have no visibility into exactly which applications are being used and what sensitive data is being uploaded or downloaded through them.
As your sanctioned IT applications are transitioned into the cloud, the risk of compromising sensitive data and propagating malware increases. What this means is that your IT teams lack necessary insights to help determine if your organization is at risk for any data exposure or compliance-related policy violations.
Modern collaboration apps like Slack®, Zoom®, Confluence®, Jira® and other sanctioned apps are where users spend most of their time today sharing sensitive information. These are typically not covered by their API protections. Moreover, each sanctioned application has its own settings to secure how users can store and share data – the settings and levels of enforcement vary by application.
Data detection, in order to be highly efficient and therefore best-in-class, must leverage a variety of detection techniques to identify both structured and unstructured data.
If a DLP solution can’t discover all sensitive data in a highly reliable way, its outcomes would matter very little because it would offer only partial protection, and most importantly, cause great amounts of false positives. False positives can interfere with standard business processes and cause frustrating and time-consuming incident triage processes for the incident response team. A false positive could also prevent a data exchange among legitimate users that doesn’t need to be stopped. A mediocre DLP solution that doesn’t offer accurate detection and creates too many false positives is not worth the investment.
Monitoring remote employee behaviors that pose risks to sensitive data can be challenging for IT teams and hard to control. Any transfer of data due to their noncompliant behavior can result in serious security violations, putting the organization at high risk of data loss.
Data breaches occur when an ill-intentioned insider from the organization ends up exfiltrating data for personal gain or disruption. Well-meaning yet negligent employees are also an important vehicle for data loss. They can unintentionally expose sensitive data by transferring it through company data loss, as they unintentionally expose sensitive data by transferring it through company-unsanctioned SaaS applications by oversharing it on cloud storage repositories or by sending it to untrusted third parties.
Average total cost of a data breach
Breaches are cloud based
Breaches due to stolen or compromised credentials
Employees use collaboration SaaS apps
Cloud security failures are caused by human error
YoY increase in SaaS being used to deliver attacks
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