Transcend brings consent governance directly into Snowflake. Published on: Sep 29, 2026 As enterprises move more customer data into cloud data platforms for analytics, personalization and AI, consent and usage policies can become a separate operational layer that slows activation. Transcend is addressing that gap with a Snowflake Native App that brings consent and preference data directly into a customer's Snowflake environment and turns those policies into controls applied to data at query time. Transcend has launched Transcend Consent & Preferences Management as a Snowflake Native App on the Snowflake Marketplace, giving organizations a way to connect consent and preference information directly with customer data stored in their own Snowflake accounts. The integration targets a problem that becomes more complicated as enterprises centralize first-party data. Knowing which customers have opted into a particular use is different from knowing which users or systems can technically access a dataset. Transcend's application is designed to bridge those two layers. The company says consent and preference information can flow into Snowflake and be translated into governance controls, including row access policies and secure views, which Snowflake can then enforce when data is queried. That architecture is significant for marketing and data teams because consent can directly affect whether customer information is usable for personalization, analytics and AI applications. Instead of maintaining a separate compliance pipeline that sits outside the data warehouse, organizations can apply policy within the environment where customer data is already being processed. The product also introduces a coverage view intended to show data stewards and business users which datasets are governed and which still have policy gaps. Transcend says users can identify those gaps without opening a SQL editor or submitting a request to another technical team. For enterprise marketing organizations, the distinction is increasingly important. First-party data has become a central input for customer segmentation, personalization and AI-driven experiences, but activation requires organizations to account for consent, preferences and permitted uses. A dataset can be technically available while still being inappropriate for a particular marketing or analytical purpose. Snowflake provides the underlying data platform and governance capabilities, while Transcend supplies the consent and preference layer. According to Snowflake Vice President of Global ISV & Enterprise Technology Partnerships Rodrigo Rocha, the integration brings policy enforcement and data permissions into a single flow inside a customer's Snowflake account. As a Snowflake Native App, Transcend can be installed and operated directly within a customer's Snowflake environment. This architecture is designed to reduce the need to move data between separate systems and can simplify deployment for organizations already using Snowflake as a central data platform. TextNow is among the companies using the integration. Andrew Cotton, Head of Platform and Security Engineering at TextNow, said the combination reduced a task that would normally take weeks to a matter of hours. That is a customer-reported implementation experience rather than an independently verified benchmark. The launch also extends Transcend's broader data-policy strategy. The company recently introduced Policy Engine, which it describes as runtime data-decision infrastructure for enforcing data-use policies. The competitive landscape includes privacy management, consent management and data-governance platforms that increasingly need to integrate with enterprise data warehouses and AI infrastructure. The key shift is from simply documenting consent toward making consent an operational control that can influence whether data is actually used. For marketing teams, that could make governed data activation less of a separate compliance exercise and more of an embedded component of the enterprise MarTech stack. Market landscape. The growth of first-party data strategies has increased the importance of connecting privacy governance with data activation. Traditional consent-management systems often operate around collection preferences and regulatory compliance, while data platforms control storage, access and processing. Integrating these layers can reduce the gap between what customers have permitted and what downstream systems can technically use. Snowflake's Native App model also reflects the broader trend toward applications running within enterprise data platforms rather than requiring organizations to create separate data pipelines. For marketers, the result is a shift toward data infrastructure where governance can become part of segmentation, analytics, personalization and AI workflows. Strategic outlook. The next stage of enterprise data governance is increasingly about usage policy rather than access alone. A user may have permission to access a dataset while still being restricted from using particular customer attributes for advertising, personalization or AI. Embedding those policies into the data environment can help organizations operationalize that distinction. Transcend's Snowflake integration points toward a model in which consent becomes machine-readable policy that can influence data usage at runtime. As AI applications consume larger volumes of enterprise customer data, that type of control could become increasingly important to marketing and data teams. Top insights. * Transcend's Snowflake Native App connects consent and preference data directly to customer data stored inside an organization's Snowflake environment. * The integration is designed to turn consent information into data-use controls, including row access policies and secure views enforced during queries. * Business and data teams can reportedly identify governance gaps through a coverage view without relying on custom compliance pipelines or SQL workflows. * TextNow says the integration reduced a normally weeks-long task to hours, although the result is a customer-reported implementation experience. * The launch reflects a broader shift toward embedding privacy and consent controls directly into enterprise data and AI activation infrastructure.

Transcend has launched its Consent & Preferences Management solution as a Snowflake Native App on Snowflake Marketplace. The app brings Transcend's consent and preference data directly into customers' Snowflake accounts, automatically converting it into enforceable policy. The integration addresses a common challenge: determining whether customer data can be legally used for specific purposes. The app applies governance controls within Snowflake without requiring custom pipelines or SQL knowledge, enabling teams across marketing, privacy, and data to access one unified answer. The native app transforms consent data into row access policies and safe views, enforced at query time. Data stewards gain real-time visibility into which datasets are governed, with one-click remediation for gaps. TextNow is already using the solution, with Head of Platform and Security Engineering Andrew Cotton noting it reduces implementation time from weeks to hours.

Transcend announced the launch of Policy Engine. Transcend, the autonomous data decision platform trusted by Fortune 500 brands, announced Policy Engine, a runtime API that turns every if/then a business runs on into a real-time data decision. With this launch, Transcend establishes a new category of enterprise technology - Data Decision Infrastructure - to unlock new growth and accelerate AI deployments at a critical moment, grounded in responsible data use. Every AI initiative an enterprise ships depends on one question: Can I use this data, right now, for this purpose? AI is consuming customer data faster than any IT check by hand, and analysts see the gap widening. Gartner predicts that by 2030, half of AI agent deployment failures will be caused by insufficient runtime enforcement from AI governance platforms. IDC forecasts that by 2030, up to 20% of Global 1000 organizations will face lawsuits, substantial fines, and CIO dismissals stemming from inadequate controls and governance of AI agents. Transcend understands writing the policy is not the hard part. Enforcing it everywhere data flows, at the speed AI demands, is an infrastructure problem, and it belongs with the CIOs and CTOs leading AI transformation. Policy Engine delivers real-time data decisions. Policy Engine is that layer. Any if/then statement becomes a real-time answer, whether it encodes a business policy, a customer preference, or a legal requirement. Every answer arrives in milliseconds and is logged with the reasoning behind it: an "allowed" from an explicit customer choice and an "allowed" from a jurisdiction's default are never mistaken for the same thing. In use with multiple Fortune 500 companies, Transcend's Policy Engine runs securely through Sombra and natively integrates with Transcend Preference Management, Consent, Data Discovery and Classification, and more. Policy Engine is also available as a standalone offering. "As enterprises race to adopt AI, customer data is being used in more ways than ever before," said Ben Brook, CEO and Co-founder of Transcend. "But tech leaders are getting tangled in the complexity of data use rules, often waiting on legal sign-off for every new use case. Our customers tell us policy-as-code is the missing piece in the modern enterprise, and with Policy Engine, Data Decision Infrastructure finally exists to deliver it." Policy Engine supports complex enterprise rules. Policy Engine extends Transcend's industry-defining consent and preference architecture to the full set of rules an enterprise runs on, including: * Cross-brand sharing: Decide whether an opt-in with one brand carries over to sister brands under a shared parent. * Channel-scoped consent support: Enforce email and text as independent permissions, so an opt-out on one channel never silently kills consent on the other. * Marketing business rules: Pause marketing or adjust pricing based on the company's own policies, such as after a service failure or eligibility change. * Age-gating and restricted categories: Apply the distinct rules governing categories like alcohol, tobacco, and fertility products. * Jurisdiction-specific requirements: Check consent expiry windows and double opt-in where regulations demand it. Each of these is powerful on its own. Policy Engine can combine any of them into a single real-time decision, not just a data-use check. Built for runtime AI governance. "We built Policy Engine as a runtime API because that's where these decisions actually happen: inside the systems and agents that touch customer data, at the moment they act," said Mike Farrell, CTO and Co-founder of Transcend. "Enforcement cannot live in a policy document or a dashboard; it has to answer in real time, wherever the question originates. Engineering teams want to build products, not permissions plumbing, and Policy Engine takes that whole challenge off their hands." To share your insights, please write to ABM at [email protected]