AI SECURITY / GOVERNANCE
Govern the Data Behind Every AI System
AI risk is data risk. Across training, retrieval, and autonomous agents, the same sensitive data flows through systems that ignore your access policies. Lattix puts one enforcement and audit layer on the data behind your entire AI lifecycle.
Organizations are standing up AI faster than they can govern it. Data flows into training sets, retrieval pipelines, and autonomous agents — each a separate stack with its own gaps, and none of them inheriting the access controls that protect the source systems. The result is fragmented, inconsistent governance: a policy enforced in one pipeline is absent in the next, lineage breaks between stages, and there's no unified record of how sensitive data moved through the AI estate. Emerging AI regulation expects exactly the accountability this fragmentation makes impossible.
- Training, retrieval, and agent stacks each govern data differently, or not at all.
- Source-system access controls are lost the moment data enters an AI pipeline.
- Data lineage breaks between AI lifecycle stages, defeating accountability.
- There's no unified audit of how sensitive data moves across the AI estate.
- AI regulation demands governance the current fragmentation can't deliver.
One Policy Across the Lifecycle
Lattix binds attribute-based policy to data so the same enforcement applies whether it feeds a training run, a RAG retrieval, or an agent's tool call. Source-system access controls are no longer abandoned at the edge of the AI stack — they travel with the data through every stage.
Continuous Lineage
Provenance follows data across training, retrieval, and agent execution, so you can trace any AI behavior — an answer, an action, a model — back to the governed data that produced it. Lineage no longer breaks at stage boundaries.
Unified, Tamper-Evident Audit
Every access across the AI estate is recorded to a single tamper-evident ledger, giving you one verifiable record of how sensitive data moved through training, RAG, and agents — the accountability backbone AI regulation increasingly requires.
Govern Without Slowing AI
Enforcement lives on the data and is model- and pipeline-agnostic, so teams can adopt new models, vector stores, and agent frameworks while governance stays consistent — control that keeps pace with AI velocity.
Consistent Enforcement
One policy model governs data across training, retrieval, and agents alike.
Unbroken Lineage
Trace any AI output or action back to the governed data behind it.
Single Source of Audit
A unified tamper-evident ledger spans the whole AI estate.
Regulation-Ready
Provide the accountability the NIST AI RMF, ISO 42001, and EU AI Act expect.
Model-Agnostic
Adopt new models and frameworks without re-implementing governance.
Speed With Control
Let AI teams move fast while governance stays consistent on the data.
Helps You Align With
Lattix provides the technical controls and audit capabilities to help your organization meet the requirements of these frameworks.
What is AI data governance?
AI data governance is the enforcement, lineage, and audit of sensitive data across the entire AI lifecycle — training, retrieval, and agents. Lattix provides this as a single data-layer foundation, so the same access policy and audit apply consistently across every AI stage and stack.
How does Lattix unify governance across training, RAG, and agents?
Lattix binds policy to the data itself, so the same enforcement applies whether data feeds a training run, a retrieval pipeline, or an agent tool call. Lineage and audit follow the data across all stages into one tamper-evident record.
Does AI data governance slow down AI development?
No. Enforcement lives on the data and is model- and pipeline-agnostic, so teams can adopt new models, vector stores, and agent frameworks while governance stays consistent without re-implementation.
How does this help with AI regulation?
A unified, tamper-evident record of how sensitive data moves across your AI estate provides the accountability and traceability that frameworks like the NIST AI RMF, ISO 42001, and the EU AI Act increasingly require.
Govern Your Entire AI Estate
Tell us about your AI initiatives across training, retrieval, and agents, and we'll show you how Lattix unifies governance on the data layer.
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