Data Protection Checklist For Employees Working From Home

A quick checklist for employers to enable working from home during COVID-19.
Written by
Protecto
Leading Data Privacy Platform for AI Agent Builders

COVID-19 has impacted business operations across the globe forcing many companies to work remotely. Working remotely has huge data privacy and security implications. We have created a basic checklist that will help employers to protect their data as employees work from home. This global pandemic could remain a threat for a prolonged period of time. As employees work from home during this period, organizations must take data protection even more seriously.

  • Update hardware inventory – refresh the list of devices used from home
  • Communicate your organization’s work-from home policies and procedures
  • Review response protocol in case of data breach due to remote work
  • Mandate two-factor authentication for all employees
  • Determine if any personal data will flow across borders as a result of remote work
  • Run mandatory online training to discuss privacy and security risk scenarios at home
  • Request employees to update the software on their home routers and personal devices

[hubspot portal=”8288827″ id=”aa4d4e25-c712-4013-9ada-26d84fcc693f” type=”form”]

Protecto
Leading Data Privacy Platform for AI Agent Builders
Protecto is an AI Data Security & Privacy platform trusted by enterprises across healthcare and BFSI sectors. We help organizations detect, classify, and protect sensitive data in real-time AI workflows while maintaining regulatory compliance with DPDP, GDPR, HIPAA, and other frameworks. Founded in 2021, Protecto is headquartered in the US with operations across the US and India.

Table of Contents

Share Article

Related Articles

Why Your Retriever Matters More Than Your LLM in RAG

Most RAG data exposure happens before the LLM processes a single token. The retriever decides what sensitive data the model sees, and most teams are not securing it. Here is where the gaps are and how to close them....

From Data Classification to Runtime Data Security for AI

Authentication evolved from a login form to IAM to Zero Trust. Data protection for AI is on the same path. Classification is the login form. Here's what the full runtime architecture looks like, and why it has to be independent of the agent it protects....

Sensitive Data Is More Than PII: The Blind Spot in Enterprise AI Security

Turn these challenges into your next AI advantage.

Talk to a solutions engineer about securing your data privacy, governance, and agent access — in one platform.