Tool Overview:
relyance

About Relyance AI

Relyance AI is a data governance and privacy management platform founded in 2020 that takes a code-first approach to data protection. The platform provides continuous monitoring of data flows by analyzing source code, runtime infrastructure, and third-party integrations. Through machine learning and natural language processing capabilities, it automates data discovery, classification, and mapping across an organization's systems.

What does Relyance do?

At its core, Relyance AI provides visibility into how data moves through an organization by scanning code, APIs, and infrastructure. The platform creates and maintains a live data inventory and map that tracks data flows between internal systems and third parties. This automated data discovery enables organizations to understand what personal information they possess and how it is being processed.

The platform includes modules for several key privacy functions: Data Protection Assessments (DPA) which can auto-generate up to 80% of privacy impact assessments, Records of Processing Activities (ROPA) management that works across multiple jurisdictions, and Data Subject Request (DSR) automation for handling privacy rights requests. The Business Atlas feature allows organizations to visualize data flows across multiple business entities and product lines.

What makes Relyance AI different?

The focus on analyzing code and infrastructure rather than relying on manual data entry. By continuously scanning source code, runtime systems, and APIs, the platform maintains an updated view of actual data processing activities rather than point-in-time documentation. This automated approach aims to reduce the manual effort typically required for privacy compliance.

The platform's machine learning capabilities enable it to understand data processing logic embedded in code and automatically classify data types. The Event Tracking functionality provides notifications about changes in vendors, internal services, and data processing activities identified during automated scans. This allows organizations to maintain accurate records as their systems evolve.

Use cases and industries

Relyance AI targets organizations that need to comply with privacy regulations like GDPR, CCPA, and CPRA. The platform is used by technology companies, financial services firms, healthcare organizations, and other enterprises that process personal data at scale. Notable customers include Coinbase, DuckDuckGo, Notion, Plaid, and Snowflake.

Common use cases include automating privacy impact assessments, maintaining ROPAs across jurisdictions, managing data subject requests, and monitoring third-party data sharing. The platform helps privacy, security, and engineering teams collaborate on privacy requirements during the software development lifecycle. For organizations subject to multiple privacy laws, the Universal ROPA feature enables standardized record-keeping that satisfies various regulatory requirements.