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Use Cases

Use Cases—From Visibility
to Action

Unify who-can-do-what and what they actually do—then detect, explain, and act with privacy by design.

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Identity-First Security Scenarios

Four critical use cases with guided 2-minute tours showing problem, visibility, action, and outcome

Excess Privilege → Action

Detect and remediate over-permissioned identities with evidence-based least-privilege recommendations.

  • Find toxic combos and entitlement bloat with the Access Graph
  • Explain risk with Journey evidence, not raw events
  • Propose least-privilege actions (revoke/coach/hold)

Privileged Admin Drift (Mainframe)

Normalize mainframe permissions and detect privilege creep across RACF, ACF2, and Top Secret.

  • Normalize RACF/ACF2/Top Secret into effective permissions
  • Surface drift + privileged Journeys across z/OS resources
  • Guardrail playbooks with audit-ready narratives

Low-and-Slow Exfiltration

Identify stealthy data exfiltration patterns across identities, resources, and protocols.

  • Detect staging + trickle patterns across identities and resources
  • Map destination, protocol, cadence; explain "why flagged"
  • Orchestrate contain/coach/hold with evidence

Insider Risk (Flight-risk, Staging, Sabotage)

Detect anomalous user behavior while preserving privacy through pseudonymization by default.

  • Baseline behavior; flag deviations (sharing, send-as, off-hours)
  • Show clear "why flagged" logic tied to Journeys
  • Privacy-first review: pseudonymization on by default

Excess Privilege → Action

A 2-minute guided tour

Problem

Step 1

Over-permissive roles create toxic combinations where users accumulate privileges beyond their job requirements, increasing security risk.

Visibility

Step 2

The Access Graph reveals effective permissions across systems, while Journeys show actual usage patterns over time.

AI-Orchestrated Action

Step 3

Intelligent analysis proposes targeted remediation with clear evidence and impact assessment for each suggested action.

Outcome

Step 4

Measurable reduction in excess privilege with faster detection and response times, backed by audit-ready evidence.

Toxic Permission Accumulation

Users with both financial system access AND data export rights create unmonitored pathways for fraud or exfiltration—yet most tools only show individual permissions, not dangerous combinations.

Problem

Privileged Admin Drift (Mainframe)

A 2-minute guided tour

Problem

Step 1

Admin rights creep across RACF, ACF2, and Top Secret systems over time, creating hidden escalation paths in mainframe environments.

Visibility

Step 2

Normalize RACF, ACF2, and Top Secret permissions into a unified view, showing drift over time and cross-system privilege paths.

AI-Orchestrated Action

Step 3

Apply mainframe-specific guardrails with audit-ready narratives for compliance teams and operations.

Outcome

Step 4

Controlled mainframe privilege drift with comprehensive audit trails and compliance-ready reporting.

Inherited Admin Rights Sprawl

Mainframe admins accumulate SPECIAL, OPERATIONS, and privileged dataset access through group memberships and profile updates—invisible to traditional auditing tools that can't normalize across RACF/ACF2/TSS.

Problem

Low-and-Slow Exfiltration

A 2-minute guided tour

Problem

Step 1

Stealthy data exfiltration via varied protocols and trickle patterns over extended timeframes evades volume-based detection.

Visibility

Step 2

Journey-based detection identifies staging patterns and egress behaviors across time, systems, and protocols.

AI-Orchestrated Action

Step 3

Orchestrate contain and coach workflows with forensic timelines showing the complete exfiltration path.

Outcome

Step 4

Earlier detection of sophisticated exfiltration attempts with clear evidence for investigation and response.

Low-and-Slow Data Exfiltration

Attackers stage files across multiple shares, then exfiltrate small chunks via HTTPS, SSH, or email over days—avoiding traditional DLP volume thresholds while moving gigabytes of sensitive data.

Problem

Insider Risk Detection

A 2-minute guided tour

Problem

Step 1

Risky employee behaviors like mass downloads, off-hours access, and unusual sharing often precede data theft or sabotage.

Visibility

Step 2

Baseline normal behavior and flag deviations with clear explanations, using pseudonymization to protect privacy.

AI-Orchestrated Action

Step 3

Privacy-first review workflows with coaching paths for low-to-medium risk and escalation for high-risk scenarios.

Outcome

Step 4

Proactive insider risk detection with privacy compliance and clear audit trails for all investigations.

Pre-Incident Behavioral Indicators

Flight-risk employees exhibit distinct patterns: bulk downloads outside work hours, unusual send-as operations, permission escalations—but privacy regulations make it hard to investigate without clear justification.

Problem

Deep Dives by Scenario

Technical details on signals, detection logic, and orchestrated responses

Cross-Stack ERP/SaaS

Microsoft 365, Salesforce, ServiceNow, Oracle, SAP, Workday

Different entitlement models—M365 audit activities, Salesforce Profiles/Permission Sets, ServiceNow ACL rules, SAP roles/authorizations, etc.—make "effective" access hard to see. Nexception normalizes these into the Access Graph and ties Journeys across apps; we then highlight least-privilege opportunities and suspicious sequences.

Microsoft 365

Audit activities, Exchange roles, SharePoint permissions, Teams access

Salesforce

Profiles, Permission Sets, Sharing Rules, Field-level Security

ServiceNow

ACL rules, Role assignments, Module access, Record-level permissions

Oracle/SAP

Roles, Authorizations, Transaction codes, Data access paths

Workday

Security Groups, Business Process Security, Domain permissions

Unified Access Graph
Cross-App Journeys
Least-Privilege Recommendations

No-Native-Logs Apps → Normalized Audit

Observe from the wire when applications are "quiet"

When applications don't provide native logs or their audit trails are incomplete, Nexception observes from network flows, name resolution, and directory context to synthesize normalized audit logs that feed SIEM/DFIR pipelines while still producing Journeys and Actions.

Wire Observation

Flow + name resolution + directory context

Normalized Logs

JSONL: timestamp, principal, action, resource, result

Journeys + Actions

Feed SIEM/DFIR; produce insights

Normalized Audit Log Fields

timestamp: ISO8601
principal: identity performing action
action: operation type
resource: target object
result: success/failure
src/dst: network context
evidence: supporting observation data
Compatible with Splunk, Elastic, Sentinel, Chronicle, and other SIEM platforms

Ready to see it on your stack?

Discover how Nexception adapts to your unique environment and security requirements

Typical deployment: 2-4 weeks • No agents required • Privacy by design