Only Transcend answers "Can I use this data?" in real time by encoding data permissions and Do Not Train policies directly into the systems that power AI. Governance is enforced at the infrastructure layer, so every model and agent gets the right answer at runtime.

They define what data AI should use but can't determine what it actually can use. Without runtime enforcement, every model, agent, and workflow depends on manual processes and disconnected controls. That gap between policy and execution is where AI risk, and deployment delays, grow. Deloitte indicates 79% of enterprises don’t have have proper governance for Agentic AI.

The opportunity
User permissions and business policies are encoded directly into your data infrastructure, so models train only on verified, permissioned data. Do Not Train rules, deletion requirements, and jurisdictional restrictions are enforced before data reaches any model or agent.
Transcend connects directly to your warehouses, CDPs, AI pipelines, and agent runtimes to answer “Can I use this data?” in real time. Permissions are honored in the infrastructure, not monitored after the fact.
Transcend creates an audit trail of every data-use decision across your models, pipelines, and agents. When regulators, customers, or executives ask for proof, your team can demonstrate exactly how data was governed on demand.

Switching from manual scans to real-time discovery & data classification is key to ensuring enterprise compliance with privacy and AI regulations like the EU AI Act. With Transcend, your enterprise can easily discover data systems and shadow AI to create a single source of truth.
Explore Data Discovery & Classification
Transcend's purpose-built AI Risk Assessment templates map your data use against the EU AI Act, GDPR, CCPA, and emerging regulations: surfacing risk before a model trains, not after it's deployed. The leading AI providers your enterprise partners with depend on this foundation to fulfill Do Not Train guarantees at scale.
Explore Assessments
When a user opts out of AI training, that signal has to reach every model, pipeline, and agent in real time, without a manual sync or human follow-up. Transcend propagates Do Not Train signals automatically across your entire data ecosystem, so compliance isn't a review before a launch. It's enforcement at runtime.
Explore Consent & Preference Management“Privacy is at the heart of trust and progress in building artificial intelligence technology.”
Shane Orlick
President
Every model, agent, and personalization program your team wants to launch hits the same wall, no unified answer to whether the data behind it is cleared to use. 81% of enterprises have delayed or abandoned a strategic AI initiative in the past year. 93% trace the delay to data governance gaps.

AI initiatives stall. Audiences shrink. Roadmaps slip. The issue isn’t policy, it’s enforcement. In this session, Transcend CEO Ben Brook walks through a practical maturity model for moving from static data policies to real-time enforcement across your stack.

BCG projects $2 trillion in revenue will shift to personalization leaders over the next five years, but most enterprises won’t capture it. Not because they lack data, models, or talent, but because they still can’t answer the question: Can I use this data?

Jasper needed governance infrastructure that could move as fast as AI innovation. Transcend replaced manual data mapping and DSR processes with automation, giving Jasper complete visibility into its data and the confidence to prove compliance as regulatory scrutiny intensified.
See how leading enterprises turn governed data into a competitive advantage: powering AI personalization, first-party data strategies, and new revenue opportunities without slowing innovation with manual reviews.
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