When managing remote teams, a lot goes on behind the scenes to keep processes running smoothly. One critical area that's often overlooked is the role of sub-processors. Sub-processors—external services or platforms that handle data—play a crucial role in the ecosystem of remote work. Understanding what sub-processors are and how they affect your team is essential for managing workflows, maintaining compliance, and building trustworthy operations.
This post will explain the basics of sub-processors, how they fit into remote team setups, and why keeping a close eye on them matters. We'll also show you how monitoring and managing sub-processors can be simplified with just a few clicks using the proper tools.
What Are Sub-Processors?
Put simply, sub-processors are third-party vendors or platforms that a company uses to process data. If you're part of a remote team collaboration, you're probably using tools like Slack, Asana, or Jira. These tools are sub-processors—they help process and store data on your behalf, such as messages, tasks, or files.
From communication platforms to cloud storage systems, sub-processors act as vital links in the chain of remote work. However, since sub-processors handle sensitive or critical information, it's your responsibility to know who these vendors are, what they do, and how they handle data security.
Why Sub-Processor Visibility Matters
Relying on sub-processors is normal, but it comes with critical implications:
1. Compliance and Privacy Regulations
Many compliance frameworks like GDPR, SOC 2, or ISO 27001 explicitly require organizations to know and manage their sub-processors. If you don't know how your vendors process data—or fail to disclose them to your clients—you risk fines, penalties, or loss of trust.
2. Security Risks
Sub-processors expand your attack surface. A data breach or leak from a poorly vetted third-party vendor could directly impact your team or your clients. You need strategies to evaluate security practices and monitor ongoing risk.
3. Operational Dependencies
Sub-processors are more than data handlers—they’re part of your operational stack. Outages or failures from these services can disrupt workflows and lower productivity for your remote team.