Data is the new oil. Companies and government organizations collect a large volume of data to extract insights. As the volume of data grows, protecting consumer privacy becomes complex, and issues will be harder to locate. Privacy posture is the collective assessment of data privacy risks across an organization.
Data privacy posture is determined by:
Type, sensitivity, and amount of personal data
Potential impact in the event of a privacy violation
Type, variety, and purposes of processing activities
Customer trust is core to any organization. Any breach of privacy will cause irreparable damage to customer trust. Data protection laws such as GDPR and CCPA require companies to announce breaches publicly and pay hefty penalties. Therefore, organizations must understand privacy risks by understanding what risks they are sitting on, where the risks lie, and the size of risks they hold.
360 degree view of data
What personal / sensitive data do we have?
Who has access to the data?
Who is using the data?
360 degree view of risks
Identify hidden privacy risks. Understand ways to reduce exposure
Discover compliance gaps
Maintain continuous compliance
Privacy and security teams have the tough job of protecting the data while making data ubiquitously available across the organization. We help you identify, prioritize and monitor data privacy issues without adding friction to data flows.
Get visibility into your data, who has access, and who is using the data.
Analyze who is using the data, and what activities are being performed on the data.
Effortlessly perform GDPR and CCPA audits of your data. Track purpose for processing activities.
Automatically scan for the changes in data structures, data content, and usage. Continuously estimate risk and surface privacy issues.
Identify unused data assets that could be archived or deleted, resulting in lower costs and privacy risks.
Find data assets with sensitive data that are overexposed to users, and posing high risks.
We bring multiple disciplines – Privacy Engineering, risk modeling, and Artificial Intelligence – to understand your enterprise data environment and find ways to improve your data privacy posture.