## Map and inventory personal and sensitive data automatically across cloud, SaaS, and hybrid environments

- Discover PII, PHI, PCI, and sensitive attributes across structured, unstructured, and semi-structured sources
- Continuously monitor for new data risks as your environment evolves
- Support cross-regulatory compliance by mapping data to jurisdictional requirements (GDPR, CPRA, HIPAA, LGPD, etc.)

## Fulfill privacy rights (DSRs, deletions, corrections) faster and with AI-driven automation

- Automate end-to-end workflows for subject rights requests: discovery, redaction, validation, and fulfillment
- Reduce manual overhead while meeting strict SLAs and audit requirements
- Integrate seamlessly with identity, ticketing, and communication systems (e.g., Okta, ServiceNow, Salesforce)

## Enforce data minimization, retention, and purpose limitations at scale

- Identify redundant, outdated, and trivial (ROT) data—then automate deletion, archiving, or quarantine
- Operationalize privacy policies across environments with customizable retention schedules
- Ensure data is only used for its intended and consented purpose, reducing misuse and over-collection

## Manage AI privacy risk with built-in assessments and policy enforcement

- Run AI-focused privacy impact assessments (PIAs/DPIAs) to evaluate how personal data is used in models and copilots
- Detect where sensitive data is used for training, inference, or responses—then apply AI-specific privacy policies
- Align with new regulations like the EU AI Act and NIST AI RMF by enforcing governance at the data layer

## Automate and enforce cookie consent across your digital ecosystem

- Deploy customizable, location-aware cookie banners that align with global privacy regulations like GDPR, CPRA, LGPD, and more.
- Leverage a comprehensive cookie library and out-of-the-box policies to streamline consent management and ensure compliance across websites and applications.
- Integrate consent preferences with backend systems to enforce user choices throughout your data processing activities.

### Identity-Aware Data Mapping

Automatically find and classify PII, PHI, PCI, and other sensitive attributes across structured, unstructured, and semi-structured data.

### AI-Driven Privacy Rights Fulfillment

Streamline fulfillment of Data Rights Requests, deletion requests, correction requests, and access requests—with end-to-end workflows and automation.

### Automated Policy Violation Detection

Proactively identify where data retention, residency, usage, or consent policies are violated—powered by intelligent discovery and classification.

### AI-Enhanced Impact Assessments

Streamline Data Protection Impact Assessments (DPIAs) and AI Risk Assessments with dynamic templates, automated evidence gathering, and intelligent risk mapping.

### Privacy Posture Dashboard

Monitor your privacy risk exposure, compliance gaps, fulfillment status, and regulatory alignment with drill-down visibility and intelligent recommendations.

### AI Governance for Privacy

Govern training data, model usage, and AI risk with purpose-built policies to align with evolving frameworks like the EU AI Act and NIST AI RMF.

### Consent and Cookie Management

Connect cookie consent preferences to actual data discovery and usage—operationalize user choices across your systems, not just at the browser level.

### Cross-Border Data Transfer Management

Monitor, map, and manage international data flows—ensuring compliance with residency requirements, transfer restrictions, and frameworks like GDPR, Schrems II, and the EU-U.S. DPF.

### Purpose Limitation and Data Usage Enforcement

Align data collection and usage with declared purposes—enforcing transparency and minimizing unauthorized data use.

## Everything You Need to Operationalize Privacy at Scale

Discover how BigID powers the future of privacy operations.