Data is the new oil. Companies and government organizations collect a large volume of data to extract value and 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. Privacy posture is determined by
Size and complexity of the surface of data
Size of potential financial loss in the event of a privacy violation
Amount and variety of processing activities
Customer trust is core to any organization. Any breach in privacy will lead cause irreparable damage to customer trust and result in financial damage. Moreover, data protection laws such as GDPR and CCPA require companies to announce breaches publicly and pay hefty penalties. Therefore, organizations must understand where, what, and the size of risks they hold.
| Data Security Posture | Data Discovery / Mapping | |
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| 360 view of the data | ||
 What personal / sensitive data do we have? |
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| Who has access to it? |
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| Who is using it? |
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| 360 view of the risks | ||
| Identify breach and privacy risks |
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| Prioritize critical risks |
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| Understand trade-offs value vs. risks |
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Privacy and security teams have the impossible 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.
Our platform gives visibility into your data, who has access and who is using the data.
Analyze who is using the data and activities on the data
Effortlessly perform GDPR and CCPA audits of data. Track purpose for processing activities
Automatically scans for the changes in data structures, data content, and usage. Our solution continuously estimates risk and surfaces issues.
Identifies in unused data assets that could be archived or deleted, resulting in lower cost and risks.
Finds data assets with sensitive data that are over exposed to many users, posing high risk
Under the hood, we bring multiple disciplines – AI, privacy engineering, risk modeling – to understand your enterprise data environment and find ways to improve your privacy posture.
