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Identity & Access Analytics

Meet regulatory requirements with demonstrable control over identity risks.Detect toxic access and build a structured inventory across complex landscapes.

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Exemplary Identity Grid Screen of NEXIS Platform

Why Identity Transparency is Critical

Manual reviews and siloed risk signals make audit preparation reactive. Eliminate visibility gaps across thousands of identities to prevent unnoticed access risks.

Risk Indicators
  • Unknown entitlements across legacy systems
  • Toxic combinations of roles and permissions
  • Orphaned accounts
  • Lack of documented access justification
  • Fragmented audit evidence

What Identity & Access Analytics Delivers

Central Identity Inventory

Create a normalized, system-wide inventory of users, roles and entitlements across all connected systems.
Map technical permissions to business context and maintain a continuously updated identity baseline for governance and audit purposes.

Toxic Access & SoD Conflict Detection

Identify rule-based segregation-of-duties conflicts, high-risk role combinations and transaction-level violations automatically. Apply configurable conflict matrices aligned to internal policies and regulatory requirements.

Risk-Based Identity Prioritization

Classify identities and entitlements using configurable risk indicators such as critical roles, privileged access and sensitive transactions. Focus governance efforts on high-impact exposures instead of low-risk noise.

Audit-Ready Evidence & Reporting

Generate structured, exportable evidence aligned with compliance frameworks including ISO 27001, DORA and NIS2. Maintain traceable documentation of identity reviews, conflicts and remediation actions.

From Identity Transparency to Risk Governance

Identity analytics is not only about visibility.
It is the operational foundation for governance and compliance.

Detected toxic access can automatically:

Feed into Risk Registers

Detected access conflicts and risk indicators can be automatically mapped to enterprise risk registers and control frameworks. Identity risk becomes measurable and formally documented.

Unified Identity Data Model

All connected systems are normalized into a consistent identity structure.
This unified model forms the foundation for continuous governance and cross-domain risk visibility.

Continuous IAM & GRC Alignment

Access risks are linked directly to compliance controls and governance workflows. IAM decisions are no longer isolated technical events but part of enterprise risk management.

Structured Audit Traceability

All detected risks, reviews and remediation actions are documented in a structured, defensible format. Audit preparation shifts from reactive compilation to continuous readiness.

How It Works:

1

Connect Systems

Integrate IAM, ERP, HR and business applications.

2

Normalize Identity Data

Standardize identity structures across heterogeneous environments.

3

Detect & Classify Risks

Apply rule-based and contextual analytics.

4

Enable Governance Actions

Trigger reviews, remediation workflows and documentation.

Advanced Identity
Analytics & Visualization

NEXIS provides interactive analytics that allow governance teams to explore identity structures, detect structural risk patterns and drill down to transaction-level details. Dashboards are not static exports but dynamic governance tools.

Identity Network Visualization

Map relationships between users, roles and entitlements to uncover structural risk clusters and excessive privilege accumulation.

Conflict Heatmaps & Risk Trends

Monitor segregation-of-duties conflicts over time with prioritization based on business impact.

Drill-Down & Root Cause Analysis

Move from aggregated dashboards to transaction-level investigation for precise remediation decisions.

How Organizations Apply
Identity & Access Analytics

This capability supports multiple governance objectives across IAM and GRC domains.

Audit & Regulatory Compliance

Explore Use Case

Identity analytics provides:

  • A defensible identity inventory
  • Structured entitlement transparency
  • Automated SoD conflict detection
  • Evidence aligned with ISO 27001, DORA and NIS2

Result:

Reduced audit preparation effort and higher evidence quality.

IAM Modernization

Explore Use Case

Modern IAM initiatives often fail due to unclear role structures and legacy entitlements. Identity analytics supports:

  • Role rationalization
  • Entitlement cleanup
  • Migration readiness
  • Transparent baseline assessment

Result:

Faster transformation with reduced risk.

Risk Governance

Explore Use Case

Access risks are operational risks. Analytics enables:

  • Continuous monitoring of toxic access
  • Risk classification and prioritization
  • Integration into enterprise risk registers
  • Escalation workflows

Result:

Identity becomes part of active risk governance, not an isolated IT process.