Relyance AI provides a data compliance platform that offers visibility into enterprise data processing by mapping data flows and comparing them against regulatory obligations and contracts. This technology helps organizations mitigate risks related to data breaches and non-compliance, ensuring they meet privacy regulations and maintain customer trust.
Funding
$32M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
MMTVFounders
Product
Problem
Enterprises struggle to maintain comprehensive visibility into their data processing activities, making it difficult to ensure compliance with evolving global privacy regulations and contractual obligations. This lack of visibility increases the risk of data breaches, regulatory fines, and reputational damage.
Solution
Relyance AI offers a data compliance and security platform that provides enterprises with visibility into their data processing by mapping data flows and comparing them against regulatory requirements, compliance frameworks, and contractual obligations. The platform scans applications, third-party services, data stores, code repositories, and AI models to inventory, classify, and map the lineage of all data flows. By using AI, Relyance AI proactively alerts organizations to discrepancies between their operational reality and obligations, serving as a system of record to demonstrate trust and compliance. This enables businesses to take action to address risks before they escalate into significant problems.
Target Audience
Relyance AI targets privacy, security, and governance teams within enterprises that need to ensure data compliance, mitigate risks, and maintain customer trust.
Features
- Automated data discovery and classification across applications, data stores, and third-party services
- Universal Record of Processing Activity (ROPA) generation
- Comparison of data flows against global privacy regulations (covering 17 jurisdictions), compliance frameworks, and contracts
- AI-powered risk assessment and alerting for data residency violations, sensitive data leaks, and high-risk AI systems
- Data catalog and lineage tracking for governance
- Data Subject Request (DSR) automation
- Third-party risk management and supply chain visibility
- Integration with security tools for blast radius analysis and data security posture management (DSPM)