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.
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 1Over-permissive roles create toxic combinations where users accumulate privileges beyond their job requirements, increasing security risk.
Visibility
Step 2The Access Graph reveals effective permissions across systems, while Journeys show actual usage patterns over time.
AI-Orchestrated Action
Step 3Intelligent analysis proposes targeted remediation with clear evidence and impact assessment for each suggested action.
Outcome
Step 4Measurable 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.
Privileged Admin Drift (Mainframe)
A 2-minute guided tour
Problem
Step 1Admin rights creep across RACF, ACF2, and Top Secret systems over time, creating hidden escalation paths in mainframe environments.
Visibility
Step 2Normalize RACF, ACF2, and Top Secret permissions into a unified view, showing drift over time and cross-system privilege paths.
AI-Orchestrated Action
Step 3Apply mainframe-specific guardrails with audit-ready narratives for compliance teams and operations.
Outcome
Step 4Controlled 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.
Low-and-Slow Exfiltration
A 2-minute guided tour
Problem
Step 1Stealthy data exfiltration via varied protocols and trickle patterns over extended timeframes evades volume-based detection.
Visibility
Step 2Journey-based detection identifies staging patterns and egress behaviors across time, systems, and protocols.
AI-Orchestrated Action
Step 3Orchestrate contain and coach workflows with forensic timelines showing the complete exfiltration path.
Outcome
Step 4Earlier 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.
Insider Risk Detection
A 2-minute guided tour
Problem
Step 1Risky employee behaviors like mass downloads, off-hours access, and unusual sharing often precede data theft or sabotage.
Visibility
Step 2Baseline normal behavior and flag deviations with clear explanations, using pseudonymization to protect privacy.
AI-Orchestrated Action
Step 3Privacy-first review workflows with coaching paths for low-to-medium risk and escalation for high-risk scenarios.
Outcome
Step 4Proactive 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.
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
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
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