Data Protection Checklist When Working From Home

Protect your data while working remotely with Protecto’s data protection checklist.
Written by
Protecto
Leading Data Privacy Platform for AI Agent Builders

Table of Contents

Share Article

These are extraordinary times as we deal with COVID-19. Teams across the globe, including oneDPO, have shifted to work-from-home as a precautionary measure. Working remotely has huge data privacy and security implications. We must take data protection even more seriously as we might work from home for a prolonged period.  Here is a basic checklist that will help you protect your data as you work from home.

  • Avoid personal email for work
  • Watch out for Phishing attacks that take advantage of COVID-19
  • Don’t share work files using personal cloud storage accounts on GDrive, Dropbox, OneDrive, etc.
  • If you use personal devices, limit work-files to one folder. Delete it once you transfer the files
  • Enable two-factor authentication
  • Install approved anti-malware and install the latest updates
  • Clear the ‘download’ folder daily. Unknowingly/knowingly you might have downloaded sensitive files
  • Encrypt/ password-protect external USB storage. Leaks happen as employees misplace devices
  • Use company VPN if available
  • Check with your IT before start using collaboration apps/ services

Must Read: The Complete Guide to AI Data Protection

[hubspot portal=”8288827″ id=”a24bce2c-fcc7-49dc-a157-8bb05798aecb” 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.

Related Articles

‘Recall’ Was Enough for Firewalls. AI Needs a Stricter Scorecard

AI data protection needs more than recall. Discover why precision, F1 scores, and entity-level accuracy are critical for secure AI workflows....

When Cosine Similarity Works Great, and When It Does Not

Cosine similarity isn't enough for enterprise RAG. Learn why hybrid retrieval, entity awareness, re-ranking, and metadata improve search accuracy....

Cosine Similarity Is Math, Not Magic

Cosine Similarity Is Math, not understanding. Learn how vector embeddings, similarity scores, and retrieval systems really work in AI search and RAG....