OneTrust, the platform helping organizations use data and AI responsibly, has officially announced the launch of its Data Use Governance solution, which brings forth an industry-first set of capabilities designed to close the gap between traditional data governance and the real-time compliance demands of AI.
According to certain reports, the stated solution arrives bearing the means to accelerate data enablement for AI initiatives, thanks to programmatic data policies, automated data controls, and embedded data policy enforcement.
To understand the significance of such a development, we must take into account how modern data governance requires a fundamental shift in approach. You see, such rapid adoption of AI is transforming the way leverage data, but at the same time, traditional governance, generally characterized as rigid, manual, and built for slow-moving environments, has failed to keep pace with the complexities and speed of such practices.
This reality, on its part, has led to increased compliance risks, bottlenecks, and missed opportunities for innovation.
Taking a deeper view of how OneTrust’s latest brainchild addresses this problem, we begin from its promise to accelerate data use. Basically, the solution cuts down on approval cycles for data enablement with policies directly connected to embedded data controls, native to your data and AI systems.
Next up, there is a facility available to enforce policies in real-time. Here, users can come expecting an automated brand of policy enforcement working at machine speed to clock compliance without slowing down AI and analytics initiatives.
Not just that, the technology in question also makes a point to aid purpose-based policy compliance. In essence, one can apply governance policies at project initiation and throughout project lifecycles to get the job done without unnecessary enterprise-wide restrictions.
Turning our attention towards the underlying mechanics that are likely drive these functions, we begin from OneTrust Data Use Governance solution’s prowess in organizing data, an aspect where users can leverage AI-driven classification with both structured and unstructured data to capture four key areas of data context i.e. business, regulatory, consent, and data. Once generated, they can also store this context as machine-readable data labels, something which is also a fundamental mandate for automating machine-enforceable data policies.
The next capacity relates to centralizing policies. This particular capacity packs the means for transforming documented privacy, consent, and regulatory policies into enforceable control code, all for the purpose of managing data across its entire lifecycle, right from ingestion and usage to data sharing.
Another detail worth a mention here is rooted in the given solution’s audit ability which, on its part, enables real-time application of the data controls, as well as visibility into the application of column masking and row-filtering controls.
Founded in 2016, OneTrust’s rise up the ranks stems from empowering organizations to use data and AI responsibly. We get to say so because the company’s proprietary platform has made a name for itself by simplifying the collection of data with consent and preferences, while simultaneously automating the governance with integrated risk management across privacy, security, IT/tech, third-party, and AI risk. Not just that, it also applies and enforces data policies across the entire data estate and lifecycle to realize a similarly responsible data ideology.
OneTrust’s excellence in what it does can be understood once you consider it currently boasts over 300 patents and serves more than 14,000 customers across the globe.
“The future of governance isn’t about restricting data, it’s about ensuring data is used responsibly, efficiently, and in alignment with data and AI innovation goals,” said Blake Brannon, Chief Product & Strategy Officer at OneTrust. “The biggest challenge for data governance teams has been enforcement, impossible to achieve without translating documented data policies into code. OneTrust now enables our customers to turn data policies, grounded in compliance, privacy, and consent requirements, into programmatic logic that automates enforcement at the level of the data query itself. With OneTrust, data use governance is no longer a barrier — it’s an enabler.”
