Transcend launches AI tools for compliance with data privacy laws
Transcend has launched two new AI governance tools, "Do Not Train" and "Deep Deletion," aimed at providing B2B AI companies with enhanced data privacy controls.
The tools address specific privacy concerns among organisations using artificial intelligence, particularly around the use and deletion of customer data. These concerns have become prominent as enterprises increasingly demand proof that their data is not being improperly used for model training and is deleted in compliance with regulatory requirements.
AI data use controls
Transcend's "Do Not Train" feature gives AI developers the ability to guarantee on a record-level basis that particular customer data will not be utilised for model training or development. This solution satisfies both user preferences and the contractual obligations often required in enterprise agreements.
The second tool, Deep Deletion, enables companies to identify and permanently erase customer data from their data systems. It also provides verifiable documentation that the deletion has occurred, meeting increasing demands from regulators for proof of data erasure.
Together, these mechanisms allow AI companies to exercise full lifecycle governance over customer data - preventing non-compliant information from entering AI models and ensuring data can be reliably purged if required by contract or law.
With regulation such as the General Data Protection Regulation (GDPR), the EU AI Act, and varying state privacy and AI statutes, there is growing pressure on AI vendors not only to provide opt-outs for training data but also to produce audit-ready confirmation of deletion. Vendors failing to provide these assurances may risk losing enterprise customers or running afoul of new legal frameworks.
Industry adoption
Transcend reports that its tools are already deployed by some of the world's largest AI companies, collectively processing over two hundred million workflows to date. This indicates broad uptake among vendors providing enterprise-grade AI services.
"We've seen firsthand that enterprise AI contracts hinge on a vendor's ability to prove both 'Do Not Train' compliance and true data deletion," said Ben Brook, Co-Founder and Chief Executive Officer of Transcend. "These capabilities are already helping AI-Native industry leaders land enterprise customers - and now we're scaling them to power the next wave of responsible AI adoption."
The infrastructure underpinning these controls works in real-time, enforcing compliance directly within data systems. This approach is designed to ensure that a company's data processing activities remain aligned with privacy commitments and regulatory obligations, eliminating the need for manual oversight.
Market context
The expansion of Transcend's governance tools comes as more organisations are scrutinised over their handling of training data. The EU AI Act, along with ongoing shifts in state and international privacy regulations, has heightened expectations for transparency in data management, specifically around AI model development and data deletion.
Industry observers note that providing robust data governance is increasingly considered a competitive differentiator for vendors seeking to acquire or retain enterprise customers. The demand for audit-ready compliance and demonstrable action on data privacy is anticipated to continue rising as regulations evolve.
Transcend's new offerings position the company to cater to these needs by supplying vendors with the ability to offer proof of their data handling practices during contract negotiations and regulatory reviews. The company's solutions are designed to replace manual processes with automation, aiming for continual adherence to privacy requirements as enterprise adoption of AI expands.
