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Collaboration Security: How to Safeguard Workstream Collaboration Data?

With the widespread adoption of workstream collaboration (WSC) platforms among businesses, it is essential to take into account to balance security against end-user productivity and collaboration.

Communication in the workplace keeps evolving and workstream collaboration marks a rapidly growing market. WSC platforms and apps have changed the way teams interact by supporting modern workflows, accelerating innovation, enhancing productivity and engagement. Adopting a WSC platform, such as Slack or Mattermost benefits teams, both within and across organizations, by enabling faster access to relevant information, and the integration of workflows and collaboration. These platforms and apps bring together chat, knowledge sharing, calls, bots, search and discovery functionality and top it all off with some useful integrations. They also drive competitive advantage and are being adopted by an increasing number of companies.

However, in the age of data, WSC platforms and apps also create a new set of threat vectors and introduce inherent risks. While collaboration is the future of the digital workplace, the real-time sharing of unstructured data in these tools currently creates a gap in the overall business security. The WSC platforms and apps are relatively simple for end-users to adopt, but the responsibility to monitor and secure the collaboration environment is a more complex task. Some of them have basic built-in security capabilities, but many companies don’t realize that these may not be enough to properly protect them from one of the most common security risks – accidental or intentional data leaks.

Workstream collaboration data often contains sensitive conversations and content; thus the majority of workstream services tout encryption but that alone is not sufficient. Data privacy and data protection, whether we think about personally identifiable information (PII) or Intellectual Property (IP), is a main concern for businesses, especially in the light of the proliferation of data protection regulations on a global level such as GDPR, CCPA, LGPD, etc. Confidential data has to be protected in order to avoid reputational damage, costly fines, litigations and loss of business. Sending sensitive information through workstream collaboration platforms can easily expose it or send into the wrong hands, whether inside the organization or outside of it. The insider threat is very present with WSC tools like Slack or Mattermost, whether it is in the form of an employee accidentally sharing customer database, intentional disclosure of company business plans, or Social Security numbers being shared to the public cloud.

The need to ensure that confidential information is kept private and there is no danger of data leakage is growing into a top priority for businesses of all sizes across industries. In order to protect data, it is vital to ensure that unique security concerns have solutions, as well as introducing protocols and procedures that are effective yet easy to implement.

Policies and procedures that can help reduce might include restrictions of guest access, tracking third-party applications and lifecycle management. On the other hand, when choosing a WSC tool, organizations should be aware of the effectiveness of the tool and how easy it is for users to share data appropriately, in accordance with the policies. Personnel training is another important step that can further reduce security risks. Companies should ensure that employees are aware of their data security policies and appropriate practices for data sharing.

Data Loss Prevention (DLP) solutions that have content aware protection capabilities can provide companies using WSC tools an additional layer of security for sensitive data. After deploying such a solution, confidential data that is about to be shared can be easily blocked. Some DLP software, such as Endpoint Protector, already have definitions for the most common types of protected data like PII, credit card numbers, source code, and regular expressions. They also offer the possibility of protecting data by file type or name or defining custom content to serve specialized needs. DLP solutions can also have special predefined profiles for different regulations such as GDPR, PCI DSS and HIPAA and support organizations’ efforts to protect sensitive data that falls under the jurisdiction of these regulations. At the same time, due to the high number of predefined policies for personal information, companies can easily build profiles for compliance with their local data protection regulations. Thus managing IP and PII, complying with different regulations becomes easier and more efficient. Furthermore, as the majority of the WSC tools integrate with cloud storage and sharing tools like Dropbox, Google Drive, and Box, it is important for companies to be able to filter the data that is being uploaded; otherwise, sensitive information might end up in the wrong hands.

Collaboration tools are gaining fast adoption in the enterprise, but without proper controls and checks, they can expose an organization to serious risks.



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