Latttice operationalizes governance across the full data product lifecycle — from creation through consumption.
Not a layer above. Not a checklist beside. Governance is woven into how products are designed, published, consumed, and audited.
Active policies executed at query, API, and share time — not buried in a catalog.
End-to-end traceability from source systems to point of decision, automatically generated.
Clear accountability for every product, domain, and dataset across the enterprise.
Row, column, and cell-level RBAC and ABAC tied to identity providers and context.
Signals that flag whether a product is safe, governed, and reliable for AI consumption.
Quantified confidence based on quality, freshness, lineage depth, and usage signals.
Every capability is enforced where data is produced, shared, and consumed — with a clear enterprise outcome attached to each.
Every product, domain, and dataset has a named owner and steward, synced from your IdP and HRIS.
Without accountability, governance breaks down — questions go unanswered and risk accumulates silently.
Audit-ready accountability across thousands of products with zero spreadsheets.
Column-level lineage automatically derived from queries, pipelines, and product definitions.
Teams need to know where data came from before they can trust or change it.
Faster impact analysis, fewer broken dashboards, defensible regulatory reporting.
Role-based access tied to identity providers, groups, and organizational structure.
Roles change constantly — access must follow the org, not lag behind it.
Least-privilege access at scale without manual ticket queues.
Attribute-based policies that adapt to user, region, purpose, and runtime context.
Static roles can't express modern policy: residency, consent, purpose limitation, contractual scope.
One policy expression covers thousands of contextual access decisions.
Row, column, and cell-level masking and filtering enforced at query time.
Most sensitive data lives inside otherwise-shareable tables — coarse access forces over-restriction.
Broader, safer data access — analysts get the rows they need, nothing more.
Active policies executed in real time across queries, APIs, shares, and AI calls.
Policy that lives in a document is policy that gets bypassed.
Provable enforcement — every access evaluated, every decision logged.
Automatic detection and tagging of PII, PHI, financial, and regulated data.
You can't govern what you haven't classified — and manual tagging never keeps up.
Continuous, accurate classification across the full estate as data evolves.
Versioned schema, SLA, and semantic contracts between producers and consumers.
Silent breaking changes destroy downstream trust and force defensive engineering everywhere.
Stable interfaces, predictable change management, fewer 2 a.m. pipeline pages.
Quantified score from quality, freshness, lineage depth, ownership health, and usage signals.
Consumers need a fast signal to choose between similar products without deep investigation.
Faster confident decisions and a measurable improvement loop for product owners.
Per-product readiness signals covering grounding, freshness, governance, and approved AI use.
Models inherit the risk of their inputs — ungoverned data produces ungovernable AI behavior.
Safe, certified inputs for agents, copilots, and downstream AI systems.
Stage tracking from draft → certified → deprecated, with policy that adapts at each stage.
A product's risk and obligations change as it matures — governance must change with it.
Healthy estate hygiene, controlled deprecation, and no orphaned products in production.
Policy is evaluated where data lives and moves — at discovery, design, publish, consumption, and audit. No drift. No gaps.
Sensitive products surface with classification, ownership, and access requirements visible upfront.
Policy guardrails enforced as products are composed — no path to publish a non-compliant product.
Quality gates, approval workflows, and certification checks executed before a product goes live.
Every query, API call, and share evaluated against active policy in real time.
Evidence generated automatically for every access — SOC 2, GDPR, HIPAA aligned.
Column-level lineage generated automatically — across pipelines, products, BI, APIs, and AI consumers.
Every product has a named owner, a steward, and a domain. Approvals, changes, and incidents route automatically.
Identity, role, attribute, and purpose — combined into a single, enforceable model. Down to the cell, evaluated at query time.
Role-based access tied to your identity provider and org structure.
Attribute-based policies that adapt to user, purpose, and context.
Row, column, and cell-level enforcement at query time.
Automatic tagging for PII, PHI, financial, and regulated data.
Bind access to declared business purpose, not just identity.
Masking, redaction, and tokenization driven by classification.
AI multiplies the cost of bad governance. Latttice ensures models, agents, and prompts only consume products that are owned, lineage-tracked, and policy-cleared.
Every product carries a live trust score, policy coverage, and audit posture — visible to every consumer, every time.
Walk through a live data product — from policy authoring to enforced consumption in BI, APIs, and AI agents.
