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Intelligent Data Transformation for Access Governance

Turn Complex Identity Data into Actionable Governance Insights

Simplify. Analyze. Govern.

Intelligent Data Transformation empowers enterprises to unlock the value of their access data. Cleanse, consolidate, and contextualize identity and access information to gain real-time insights, detect risks, and make smarter governance decisions.

One person appears as four different records across four systems: abbreviated in Oracle ERP, a case mismatch in Workday, carrying a contractor flag in Salesforce, and an orphaned account in a custom application. · Those four are matched and collapsed into one clean identity. Fragmented data is why governance misses things. · Four source records for the same person, from four systems, collapsing into one resolved identity

Illustrative — example identity resolution, not audited SafePaaS volumes

Why intelligent data transformation matters

Data complexity shouldn’t block governance.

Modern enterprises generate massive identity and access data across cloud, SaaS, ERP, and custom applications. Fragmented or inconsistent data makes governance slow, error-prone, and risky.

Intelligent Data Transformation provides

Clean, unified access data for all identities Automated analysis to detect anomalies and risks Actionable insights to drive governance decisions Support for both human and non-human identities

Key outcomes

✓Reduce governance blind spots
✓Improve decision-making with high-quality access data
✓Accelerate risk detection and remediation
Core benefits

Five capabilities, one source of truth.

Automated Data Cleansing & Consolidation

Combine identity and access data from multiple systems into a consistent, reliable view.

Intelligent Analysis

Apply advanced analytics and AI to detect anomalies, misalignments, and potential policy violations.

Real-Time Risk Insights

Prioritize risks and remediation with actionable, up-to-date insights across all identities.

Governance-Ready Reporting

Generate dashboards and reports to demonstrate governance effectiveness and oversight.

Human & Non-Human Identity Support

Analyze access for employees, contractors, bots, service accounts, and APIs.

How it works

From data to intelligent governance.

Five stages that take raw, fragmented access data and turn it into decisions you can defend.

01Data IntegrationAutomatically consolidate access and identity data from cloud, ERP, SaaS, and custom systems.
02Data Normalization & CleansingResolve duplicates, standardize formats, and reconcile accounts for a clean dataset.
03Policy Alignment & Risk DetectionCompare access data against enterprise policies, detect violations, and highlight high-risk areas.
04Insightful AnalyticsLeverage dashboards, heatmaps, and trend analysis to visualize access risks and opportunities.
05Continuous MonitoringKeep your governance model aligned with evolving data, roles, and system changes.
Human & non-human identities

Every identity in the estate — including the ones nobody owns.

Employees, contractors, bots, service accounts and APIs analyzed on the same clean dataset.

Access risk is scored for every identity class against every business area — finance, procurement, HR, supply chain, IT administration and data — on one clean dataset. · Employees and contractors are analysed beside the non-human identities below them: bots, service accounts and APIs. · The crossing with the highest risk becomes the prioritised finding — a service account holding payment release in finance is a segregation-of-duties conflict with vendor maintenance. · A risk heatmap of five identity classes against six business areas, human and non-human on the same dataset

Illustrative — example access-risk heatmap and identity counts

Customer success

Trusted by enterprises to turn data into governance action.

“Intelligent Data Transformation gave us a single source of truth for all access data, uncovering risks we didn’t know existed and helping us govern with confidence.”
Frequently asked questions

What data owners ask first.

Cloud, ERP, SaaS and custom systems. Data integration consolidates identity and access data from all of them automatically, rather than through per-system extracts.

Duplicates are resolved, formats standardized, and accounts reconciled — producing one clean dataset instead of several partially-overlapping views of the same person or account.

Bots, service accounts and APIs are analyzed alongside employees and contractors on the same dataset — so access held by machine identities is governed rather than assumed.

Anomalies, misalignments and potential policy violations. Access data is compared against enterprise policies to detect violations and highlight high-risk areas, with risks prioritized for remediation.

Continuous monitoring keeps the governance model aligned with evolving data, roles, and system changes — so transformation is an ongoing state rather than a one-off project.

Go deeper on access data

The full content cluster.

Data qualityWhy Governance Fails on Dirty Access Data ReconciliationResolving Duplicate Identities Across Systems Machine identityGoverning Bots, Service Accounts and APIs
AnalyticsHeatmaps and Trends That Change Decisions CoverageWhere Governance Blind Spots Come From ReportingDemonstrating Governance Effectiveness
Are you ready to transform your access data into actionable governance insights?

Simplify. Analyze. Govern.

Cleanse, consolidate, and analyze identity and access data to detect risks and govern smarter.