Complete Data Management
Data privacy can be complicated to get right. When you’re handling a lot of structured and unstructured data, things can, and will, go wrong. So how do you start to get it right?
Now you can achieve complete data privacy
Data privacy road map
Design & implementation
Training & enablement
Integrated data privacy
Why choose ABMartin?
We take a collaborative approach to your complete data privacy
We uphold industry standards & follow data privacy best practices
over 100 years combined experience across multiple industries
Experts in IBM® InfoSphere® Optim™
We’ve completed over 50 implementations for Windows, Linux, Mainframe, handheld and embedded systems, covering the complete Optim product suite:
What Our Customers Say
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Michael Farrell
Michael Farrell
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Michael Farrell
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Michael Farrell
Michael Farrell
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Michael Farrell
Frequently asked Questions
What does “Complete Data Management” mean at ABMartin?
Complete Data Management means being able to manage and protect all of your data across the enterprise: structured, semi-structured, and unstructured data. This also ensures referential integrity is maintained across all data ensuring consistent masking.
How do IBM Data Solutions support this framework?
As an IBM partner, we deploy and customize IBM’s Optim suite of solutions: Optim Test Data Management/Data Privacy, Optim Archive/Decommissioning, Optim Data Privacy for Unstructured Data (DPU) Extended Data Privacy, and Guardium. Our XDP solution also complements Optim by masking semi-structured and unstructured data the same way that Optim masks structured data in databases ensuring consistent masking across all data and referential integrity is maintained.
What role does BigID play in ABMartin’s solutions?
BigID provides advanced data discovery and privacy automation. Its AI-driven platform helps identify sensitive data across cloud and on-prem systems, giving organizations the insight needed to protect data intelligently. Our XDP solution ingests the discovered sensitive data from BigID, intelligently masks or obfuscates it providing remediation of the discovered sensitive data.
What is “Unstructured Data Privacy” and why is it important?
Unstructured data such as flat files, XML, noSQL databases (MongoDB, Cassandra, etc) shared drives, PDFs, and images often contains sensitive information that traditional database privacy solutions overlook. Currently 90% of data generated by organizations is considered semi or unstructured and growing exponentially. This data cannot be ignored and needs to be considered as part of your overall data privacy strategy. ABMartin helps customers protect this sensitive data using intelligent contextual masking, preserving both data integrity and usefulness.
How do your solutions integrate with existing infrastructure?
Our XDP solution has exposed masking APIs and connection modules to allow integrations with existing tools and solutions. We want customers to be able to leverage and extend their current investments and work with them, not against them.
Which data types are supported?
XDP supports: structured (traditional RDBMS), semi-structured (Cassandra, Mongo, Postgres, Dynamo, Cosmos, etc.), and unstructured (documents, images, XML, PDF, and many more).
How can we help your business?
