Safe data for AI, without exposing what matters
More than 80% of enterprise data is unstructured: documents, emails, PDFs, images and logs. It is the data AI teams want most, and the data most likely to hold personal and regulated information. XDP masks it before it reaches your models, pipelines and analytics, and can generate synthetic data when you need more.
Where safe data matters
- Training and fine-tuning large language models
- RAG and AI assistants built on internal documents
- Analytics and data science on lakehouse platforms
- Sharing data with partners, vendors and offshore teams
One solution for every data type
- Masks structured, semi-structured and unstructured data in one solution
- Consistent masking that keeps data realistic and usable
- Synthetic data, AI-based (GAN) or rules-based, to fill gaps
- An AI-free version for teams that need one
1. Define
Work with our team to set masking rules for your data types, sources and privacy policies.
2. Mask
Replace sensitive values with realistic ones, consistently, so data stays useful for training and analysis.
3. Generate
Add synthetic records when production data is thin or too sensitive to use.
4. Deliver
Land safe data on the platforms your teams already use, such as Databricks, Snowflake and Confluent.
Why ABMartin
XDP masks structured, semi-structured and unstructured data in one solution, and our team has 100+ years of combined data privacy expertise and 250+ implementations behind it. We help you set the rules, prove them on your data and put them into production.
Talk to us about safe data for AI →Ready to feel data confident?
