Now more than ever, Data Privacy is top of mind for enterprises globally.
Proper Information Governance demands that businesses not only know what content they have (and where), but that they can defensibly manage access to it and enforce lifecycle management best practices with proper data privacy controls in place for personal data and other sensitive information.
A good Information Governance strategy ensures PD, PII, PHI, PCI and other sensitive content is easily identified, appropriately protected during its purpose, and safely deleted upon the end of its lifecycle.
5 Steps to Managing & Automating Data Privacy Compliance with AutoClassification:
1) Locate: Uncover all content that contains personal data.
Scan and locate content from disparate data sources across the entire enterprise, to identify content that contains personal data; from emails and embedded attachments to shared drives and cloud storage environments.
2) Identify: Determine the context of the personal data.
Not all personal data is created equal. Find instances of PII, Personally Identifiable Health Information (PHI) and sensitive corporate information, then further classify by document and record series type: contracts, mortgage applications, financial statements, etc.
3) Analyze: Understand your data & make informed business decisions.
Evaluate and analyze your data to better understand personal data residency, data control and processing, cross-border requirements, and trends and activities across your business. Use classification tags to make business, legal and financial decisions around sensitive information, and ensure compliance with corporate policies, as well as state, federal and international.
4) Action: Establish processes to handle personal data & action requests.
Automatically classify files by content, location, severity, or other attributes and automate rules for data handling of specific personal data. Real-time AutoRedaction creates anonymized, desensitized content suitable for litigation, regulatory or data request productions based on user permissions. Apply custom retention schedules and execute data deletion requests and data portability requests under GDPR, CCPA, NYDFS, FOIA and more.
5) Monitor: Automate the application of processes & procedures.
Constantly monitor and audit sensitive data environments for new and edited content and automatically apply appropriate rules to secure and protect sensitive data. AutoRedact in real-time on incoming, outgoing and data in flight.
See how other businesses have used AutoClassification to solve their Data Privacy challenges:
AmLaw 10 Firm AutoClassifies Extensive Data Backlog While Maintaining Strict Country-wide Data Security Protocols
AmLaw 10 law firm needed a solution beyond asking their 500+ attorneys to classify files by hand.
View our on-demand webinars on Data Privacy best practices: