Privacy Security
Given that 75% of global enterprises are unable to comply with privacy regulations, the costs and complexities to operationalize them is one of the most significant challenges to IT and legal departments in a generation. Privacy and continuity by design means functioning seamlessly with business as usual.
Privacy by Design
We help develop and design proactive and interoperable systems, methods. and workflows so privacy and security are not additional burdens but integral to business and operations as usual.
Audits and Assessments
Regular audits are necessary to establish a realistic, ongoing assessment to ensure an organization is meeting, or failing to meet, critical privacy standards.
Data Mapping and Visibility
Organizations cannot manage activities and systems without proper mapping. We utilize different automated platforms and procedures, which enable businesses to visualize their entire inventory and data lifecycle.
Policy Management
Our process is designed to comply with CCPA, GDPR, LGPD, and other global privacy laws. And the intake of data subject requests can be automated to reduce risk and ensure proper compliance.
Proportionality
The idea that energy and expense should not exceed purpose and scope is not just a crucial principle of law, data protection, and information security, but guides us in everything we do for our clients.
Privacy Management
Our system includes the capability to automate assessments; benchmark peers, industries, and regions; research global privacy laws; establish and/or assess maturity models; and build data and inventory maps.
Key Principles of Data Privacy
Lawfulness, Fairness, and Transparency
- Conditions for processing are fair and lawful
- They have been made clear for data subjects
Purpose Limitation
- Purposes properly identified and documented
- Data subjects notified of any material changes
Data Minimization
- Only collect data required for a specified purpose
- Periodically review and delete what is not needed
Accuracy
- Maintain audit of the facts, purposes, and sources
- Prepare for challenges to accuracy/ overcollection
Storage Limitation
- Retain personal data only as long as necessary
- Heed 'the right to be forgotten' (or anonymize)
Integrity and Confidentiality
- Ensure viability of data over its entire life cycle
- Ensure security measures protect personal data
Accountability for Enterprises
- Responsible for managing and processing
- Demonstrate suitable measures and compliance