See the tradeoffs before you commit.
Every remediation decision involves a tradeoff between privacy risk reduction and data utility. Remediation Preview makes that tradeoff visible, measurable, and explorable before any changes are applied to the data.
Transparency before transformation
Most de-identification workflows are opaque. You specify parameters, the tool transforms the data, and you discover the impact afterward. If utility is unacceptable, you iterate. Each cycle costs time and erodes confidence.
Remediation Preview inverts this workflow. You see the privacy impact and utility metrics for multiple remediation strategies before applying any changes. The tradeoff is explicit, documented, and selected with full visibility.
How Remediation Preview works
Load the dataset
The dataset and its assessment scope are loaded into the preview environment. No changes are applied at this stage.
Explore remediation strategies
Multiple remediation options are generated, each with different privacy-utility tradeoff profiles. Each option shows risk reduction and utility impact.
Compare and select
Side-by-side comparison of strategies shows the impact at the field, table, and dataset level. You select the approach that meets your requirements.
Apply with documentation
The selected remediation is applied and documented with full methodology provenance, utility metrics, and the rationale for the selected approach.
Why it matters
Full visibility
Every remediation option is presented with its privacy impact and utility metrics. No surprises after transformation.
Utility preserved by choice
You choose the privacy-utility tradeoff that fits your use case. The platform does not impose a one-size-fits-all approach.
Documented rationale
The selected approach is documented with the comparison data and the rationale. Auditors can see why this specific tradeoff was chosen.
Trusted by teams building on sensitive data
“Integral goes beyond the initial report. They peel back the layers and keep asking the right questions until they truly understand how your data works. That level of attention is what you need when pharma clients are asking hard questions and expect real answers.”
“We wanted a solution that would allow us to massage the data sets we were already using and augment them over time - without requiring a from-scratch re-analysis of the overarching data set. Today, all our data sources go through Integral before they ever hit an environment we access. Without Integral's flexibility, we couldn't stay defensible as data shifts.”
“By combining our data privacy infrastructure with Integral's privacy assessment technologies, we delivered a tailored solution that met our client's needs faster and more cost-effectively than alternatives. We look forward to supporting more clients in responsibly harnessing sensitive data for impactful LLM applications.”
Frequently asked questions
Does Remediation Preview modify the original data?
No. Preview generates projections of what the data would look like under different remediation strategies. The original data is unchanged until you select and apply an approach.
What utility metrics are shown?
Metrics vary by data type and intended use, but typically include statistical distribution fidelity, correlation preservation, and task-specific utility measures relevant to the analytical or training objective.
Can we compare more than two strategies?
Yes. The platform generates multiple remediation options with different privacy-utility profiles. You can compare as many as needed to find the right approach.
How does this integrate with Expert Determination?
Remediation Preview shows the impact of different approaches on re-identification risk as assessed by the Expert Determination methodology. The selected approach feeds directly into the final determination.
