Granica

Automatically scans and identifies sensitive information (PII, PHI, financial data, credentials) across multi-cloud storage environments without requiring manual tagging or configuration. Uses AI-powered pattern recognition to detect regulated data types across AWS, Azure, and GCP.

Tracks and visualizes data flows across systems to show where data originates, how it transforms, and where it's consumed. Provides real-time lineage graphs for compliance audits and regulatory reporting.

Analyzes data storage patterns to identify redundant, duplicate, or stale datasets and recommends optimization actions. Provides cost-reduction insights by highlighting data that can be archived, deduplicated, or deleted.

Creates a unified inventory of all data assets across AWS, Azure, and GCP environments, cataloging metadata, ownership, and classification status. Provides centralized visibility into distributed data estates.

Automates compliance-related tasks such as data subject access requests (DSARs), data deletion workflows, and regulatory reporting. Reduces manual effort in handling compliance obligations.

Assigns risk scores to datasets based on sensitivity level, access patterns, and security posture. Prioritizes remediation efforts by highlighting highest-risk data assets.

Analyzes who has access to sensitive data and identifies over-privileged users or excessive permissions. Detects access anomalies and recommends principle-of-least-privilege improvements.

Enforces data retention policies by identifying data that has exceeded retention periods and automating archival or deletion workflows. Ensures compliance with regulatory retention requirements.