Microsoft Purview Alternatives

Our experience has been balanced: it provides tangible operational value in daily automation, but requieres a pre-implementation architecture effort that many organizations underappreciate. What has worked best is streamlining internal workflows approvals and context-aware administrative processing. On the other hand, interoperability with systems and stored data that doesn’t belong to Microsoft could be a bottleneck and custom development.

OneTrust provides a strong, enterprise-ready platform for privacy, risk, and AI governance. The AI Governance module extends existing workflows and enables centralized oversight of AI use cases, risks, and compliance obligations.

Airia has been a useful, secure way to access generative AI for day-to-day work in our organisation, particularly for drafting, summarising and improving the quality of written outputs. It generally saves time and helps structure work, but results still require professional judgement and verification, especially where accuracy and evidential standards matter. Overall, it's a positive capability with clear value, and it continues to improve as guidance and user confidence develop.

We use Mine OS to gain greater visibility into the data processed and to automatically manage DSR/DSAR requests, significantly reducing manual tasks and wasted time. The more automation there is, the more time is dedicated to productivity and the mood of the staff has improved significantly.

This is a world class team, with world class technology, and not an ego in sight. This is an exceedingly rare combination - and makes for a transformational partnership.

Excellent depth in bias testing but high price and non-transparent pricing. It was nice to see that this product uncovered unknown models and "shadow" AI across the cloud environment that other tools often miss.

Domino Data Lab has been a wonderful product to use. It makes the process of doing Data Science much more focused on the Science and Experimentation portion rather than needing to worry about infrastructure configurations.

Overall it's been positive. I like that it provides an approach to monitor the AI models throughout their lifecycle helping increase confidence in AI.