Fides

1. User submits a DSR request via the organization's privacy portal.

2. Fides automatically routes the request to the appropriate systems and data stores.

3. Fides identifies and retrieves the user's data based on pre-defined policies.

4. Fides generates a compliance report summarizing the data and actions taken.

1. User updates their consent preferences via the consent management platform.

2. Fides receives the updated consent signals.

3. Fides propagates the consent signals to connected systems in real-time.

4. Systems adjust their behavior based on the user's consent preferences, such as opting them out of marketing emails.

1. Fides scans the organization's systems and data stores.

2. Fides identifies and classifies sensitive data based on pre-defined rules.

3. Fides creates a comprehensive data inventory, highlighting the location and type of sensitive data.

4. Fides generates reports for compliance auditing and risk assessment.

1. Legal and compliance teams define privacy policies in Fides.

2. Fides translates these policies into executable code.

3. Fides applies the policies to AI training data and models.

4. Fides monitors and enforces compliance during AI inference and model governance.

1. Developers integrate Fides CLI into their CI/CD pipelines.

2. Fides automatically scans code and configurations for privacy violations.

3. Fides provides feedback to developers on any issues found.

4. Builds are blocked until all privacy issues are resolved.

1. Teams inspect Fides' open-source code to ensure transparency.

2. Fides is deployed to manage privacy implementation.

3. Auditability is maintained to show how privacy is implemented.

4. Stakeholders gain trust in how privacy is handled due to transparency.