Identity Risk and SoD Under Control
Undetected entitlement conflicts and hidden access risks are a common source of audit findings and security exposure. NEXIS helps organizations prevent known conflicts, detect non-rule risk, and govern both in one model.
Most Access Risks Exist Exactly Where No Single Control Covers Them
Regulated organizations invest heavily in access controls, yet identity risks continue to emerge. Hybrid environments spanning IGA, PAM, SAP, SaaS, and on-premises systems create visibility gaps that manual controls and isolated rulesets cannot close fast enough.
On one side are toxic combinations: defined entitlement conflicts that can enable fraud or uncontrolled transactions when one person can perform actions that should remain separated. On the other are risks no ruleset fully captures: access accumulation, unused entitlements, role outliers, and anomalies across the authorization landscape.
Both risk types must be governed together. Point solutions that address only one leave structural gaps, and those gaps are often what auditors and attackers find first.
Risk Indicators
- SoD rules exist in spreadsheets, not workflows
- Conflicts surface in audits, not at request time
- Entitlement conflicts remain hidden across systems
- Access accumulation has no alert or trigger
- Role structures cannot be validated consistently
- Exceptions are granted informally and never reviewed
How NEXIS Supports Identity Risk and SoD Management
Prevent Defined, Rule-based Conflicts. Known Combinations That Must Never Co-exist.
NEXIS SoD Matrix
SoD checks run directly within access request workflows. When a requested entitlement would create a conflict, the issue is detected at the point of decision before access is provisioned. The requesting user receives immediate feedback, and the conflict can be blocked or handled through a formally documented exception.
Preventive SoD Checks
SoD checks run directly within access request workflows. When a requested entitlement would create a conflict, the issue is detected at the point of decision before access is provisioned. The requesting user receives immediate feedback, and the conflict can be blocked or handled through a formally documented exception.
Detective SoD Checks
Periodic detective checks identify conflicts that preventive controls did not catch, including issues introduced through legacy assignments, manual provisioning, or system migrations. This creates a safety net for environments where not every access path is yet governed in real time.
Cross-System SoD Enforcement
As an Identity Visibility and Intelligence Platform, NEXIS applies SoD logic consistently across connected IGA, PAM, SAP, and SaaS environments through one governance layer. This removes the need to reconcile SoD controls manually across platform boundaries and enables immediate conflict feedback during request-time decisions.
Exception Management and Recertification
Approved SoD exceptions are documented in NEXIS with full context and remain subject to periodic recertification. This helps prevent exceptions from accumulating silently and ensures they remain visible for governance and audit review.
Surface Everything That no Ruleset Covers.
Continuous Risk Detection
NEXIS ISPM continuously analyzes identity and authorization data across connected systems. Deviations in entitlement structures, data classifications, and identity attributes are detected even where no defined rule violation exists.
AI-Assisted Anomaly Detection
NEXIS learns what normal authorization structures look like across roles, departments, and peer groups, then flags deviations from that baseline. This helps identify abnormal access patterns early and supports faster remediation before risk spreads through the environment.
NEXIS License Killer
As a feature pack within NEXIS ISPM, NEXIS License Killer analyzes the actual usage of authorizations, roles, and entitlements rather than assignment alone. Unused access can be identified for remediation, helping reduce attack surface, support least-privilege enforcement, and recover unnecessary license costs.
Identity Risk Reporting and Audit Evidence
NEXIS logs risk detections, conflicts, exceptions, and remediation actions in a structured way. Analytics and over 20 matrix-based views provide visibility into role structures, entitlements, and risk indicators so internal teams and auditors can review evidence without manual reconstruction.
How NEXIS Manages Identity Risk & SoD
Connect & Consolidate
- NEXIS aggregates entitlement and authorization data from all connected systems - IGA, PAM, ERP, SaaS - into a unified identity and authorization model.
Detect & Flag
- SoD rules run live at request time. ISPM scans continuously for anomalies, outliers, and posture deviations - flagging both rule violations and non-rule risks.
Govern & Remediate
- Conflicts are blocked or formally excepted. Anomalies trigger automated remediation workflows. Unused access is flagged for removal. All actions are logged.
Report & Prove
- Risk indicators, conflict histories, exception logs, and compliance evidence are available on demand - structured for auditors, regulators, and internal governance.
Case Study: From Role Mining Pilot to
Enterprise-Wide IAM Governance
A large insurance organization started with a focused role mining initiative to improve role transparency and integrate HR context into governance decisions. Over time, NEXIS became the central IAM governance platform, supporting around 180,000 identities, real-time SoD checks in access request workflows, and IAM Governance Documentation for DORA compliance.
The result:
Role model validated and maintained by business teams directly
Recertification running across all IAM objects organization-wide
Real-time SoD enforcement integrated into access request workflows
~180,000 identities under unified governance, incl. employees, subsidiaries, externals
IAM Governance Documentation established for DORA compliance
Mapped to Every Major Compliance Framework.
NEXIS delivers pre-configured controls and audit evidence for the regulatory frameworks that apply to your organization.
