List of Relyance AI TrustiQ Customers
San Francisco, 94104, CA,
United States
Since 2010, our global team of researchers has been studying Relyance AI TrustiQ customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Relyance AI TrustiQ for Data Loss Prevention from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Relyance AI TrustiQ for Data Loss Prevention include: Coinbase, a United States based Banking and Financial Services organisation with 3772 employees and revenues of $6.56 billion, Canva, a Australia based Professional Services organisation with 5500 employees and revenues of $1.50 billion, Notion, a United States based Communications organisation with 900 employees and revenues of $500.0 million and many others.
Contact us if you need a completed and verified list of companies using Relyance AI TrustiQ, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Relyance AI TrustiQ customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Canva | Professional Services | 5500 | $1.5B | Australia | Relyance AI | Relyance AI TrustiQ | Data Loss Prevention | 2024 | n/a | In 2024, Canva deployed Relyance AI TrustiQ to strengthen controls over customer and content data in Australia. The deployment uses Relyance AI TrustiQ, a Data Loss Prevention solution, to provide continuous mapping of data flows across cloud and SaaS ecosystems and to centralize visibility for privacy and security stakeholders. The implementation emphasizes data discovery and classification, contextual monitoring, risk scoring, and policy orchestration consistent with Data Loss Prevention capabilities. Configuration work focused on classification rules, automated policy enforcement, and remediation playbooks, with AI governance workflows layered to manage model-driven processing of customer and content data. Operational integrations center on cloud and SaaS telemetry via connectors and API level instrumentation to maintain continuous mapping of data journeys across repositories and collaboration services. The rollout targets security, privacy, compliance, and product teams within Canva’s Australia operations, aligning detection and alerting to existing incident response and privacy workflows. Governance was structured around centralized policy management and privacy automation, with incident playbooks and automated routing of alerts to designated security and privacy owners. Vendor materials indicate Relyance AI TrustiQ functions as the intelligence engine, and it is reported to improve visibility into data journeys and support continuous compliance assurances. | |
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Coinbase | Banking and Financial Services | 3772 | $6.6B | United States | Relyance AI | Relyance AI TrustiQ | Data Loss Prevention | 2024 | n/a | In 2024, Coinbase implemented Relyance AI TrustiQ as its Data Loss Prevention solution to strengthen data security, privacy, and AI governance for customer and transaction data in the United States. The deployment prioritized continuous mapping of data journeys and real-time policy enforcement across Coinbase's U.S. data estate, aligning the Data Loss Prevention application to operational controls and compliance workflows. Relyance AI TrustiQ was configured to deliver autonomous data-journey mapping through the TrustiQ intelligence engine, coupled with classification workflows and policy orchestration to detect and govern sensitive customer and transaction data. Configuration work included policy rule sets oriented to privacy and AI governance, role based access controls for enforcement, and alerting and case generation for policy exceptions. Operational coverage focused on U.S. customer and transaction data processing and affected security, privacy, compliance, and AI governance teams. The implementation embedded continuous policy enforcement into existing operational processes, creating a consistent control plane for data handling and oversight within those business functions. Governance changes formalized continuous compliance monitoring and centralized visibility of data flows for audit and investigations, with the stated outcome of substantially improved end to end data visibility and continuous compliance monitoring. Relyance AI TrustiQ is presented as the core Data Loss Prevention capability supporting ongoing data governance and operational enforcement at Coinbase. | |
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Notion | Communications | 900 | $500M | United States | Relyance AI | Relyance AI TrustiQ | Data Loss Prevention | 2024 | n/a | In 2024, Notion deployed Relyance AI TrustiQ to strengthen privacy, data security, and AI governance across product and user data operations in the United States. Relyance AI TrustiQ serves as the intelligence engine within a Data Loss Prevention implementation, enabling continuous discovery and classification of sensitive data while delivering real-time visibility and automated policy enforcement. Functional capabilities implemented include automated sensitive data classification, continuous monitoring for data exposure, and enforcement workflows for policy-driven remediation and alerting. The deployment was architected to instrument product telemetry, storage, and user data workflows so classification and detection run continuously across operational data flows. Governance shifted toward classification-led controls and automated enforcement, with workflows routed for incident escalation and policy tuning to support AI governance and privacy operations. Operational coverage is focused on product and user data operations in the United States, impacting privacy, security, and AI governance teams. |
Buyer Intent: Companies Evaluating Relyance AI TrustiQ
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