Foundational builds deterministic lineage for sensitive data, from source code to model use, across every layer scanners cannot reach.
PII, PHI, credentials, and classified information flow through AI training and inference pipelines. Without lineage from source to model, you can't prove what was used or catch what shouldn't have been.
No record of which teams, tools, or systems touched sensitive data during AI development. Without that record, every audit becomes a liability.
Frameworks including SR 26-2, the EU AI Act, and GDPR require documented evidence of what data entered your models and who accessed it.
BI used to be the main consumer of your sensitive data. Now AI is too, whether that's a person prompting a model or an agent acting on its own. Treat AI governance as separate from data governance and you lose visibility into your fastest growing source of access.
Foundational gives governance and data teams full lineage from source data to model decision. When security flags an exposure, governance has the context to explain what happened and what to do next.
Discovery tools tell you where sensitive data exists. That's where the question starts, not where it ends. Governance teams need to know what happened to it, who accessed it, and what to do next, and that takes different signals than a scanner produces. Foundational analyzes source code across application layers, established systems, and AI workloads, surfacing signals scanners cannot reach.
Trace every feature back to its source data. Understand transformations and document provenance for every model in production.
Track which systems and teams accessed sensitive data for AI development. Maintain a complete, auditable record across projects.
Get alerted when upstream changes affect how sensitive data flows into AI systems. Catch new exposure before a model or agent touches it, not after.
Document complete model lineage. Prove fair lending, FCRA, and EU AI Act compliance with audit-ready reports linked to source data.
Reduce the time required to trace sensitive data across systems, models, applications, and teams.
Focus remediation efforts on the data flows, assets, and AI systems with the greatest downstream impact.
Understand the data powering AI systems and validate model inputs with complete lineage and provenance. Detect upstream changes before they affect performance or compliance.
Pass audits with explainable, end-to-end lineage and documented evidence of how sensitive data was accessed, used, and governed.
Foundational isn't a replacement for your data security platform, catalog, or discovery tool. It's the lineage layer underneath them, tracing the source code, transformations, and access events across application layers, established systems, and AI workloads that produced what those tools find. That lineage turns findings from the rest of your stack into action. When a security or data platform flags an exposure, Foundational supplies the history behind it, so governance can answer how, not just where.
