Access Review Automator

The Challenge

Quarterly access reviews are tedious. Managers rubber-stamp approvals without context, and security teams spend days compiling reports. Real risks get buried in volume.

The AI Desk Solution

AI Desk analyzes access patterns and provides smart recommendations for each review decision.

The Workflow

Step 1: Review Trigger

Trigger: Quarterly access review cycle
Sources: Okta, AWS IAM, usage logs

Step 2: Pattern Analysis

• Usage frequency
• Role alignment
• Anomaly detection

Step 3: Smart Review

🔐 Access Review: Q2 2026

REVIEW SCOPE
├── Users: 450
├── Applications: 34
├── Roles: 128
└── Recommendations generated: 450

SUMMARY BY RECOMMENDATION
├── ✓ Approve (no action): 380 (84%)
├── ⚠️ Review recommended: 52 (12%)
├── 🔴 Revoke recommended: 18 (4%)
└── Manager decisions needed: 70

HIGH PRIORITY REVOCATIONS

User: jordan.lee@company.com
├── Application: AWS Console (Admin)
├── Last used: 89 days ago
├── Role change: Moved to Marketing
├── Recommendation: 🔴 Revoke
└── Risk: High-privilege unused access

User: alex.chen@company.com  
├── Application: Salesforce (Admin)
├── Last used: 45 days ago
├── Note: On extended leave
├── Recommendation: ⚠️ Suspend
└── Risk: Account dormant

REVIEW BY MANAGER

Sarah Kim (12 reports)
├── Auto-approved: 8
├── Needs decision: 4
└── [Start review]

Jamie Chen (8 reports)
├── Auto-approved: 6
├── Needs decision: 2
└── [Start review]

COMPLIANCE STATUS
├── Reviews completed: 0/450
├── Deadline: May 1, 2026
└── Days remaining: 12

Value Proposition

• Time Saved: 8 hours per cycle
• Smarter Decisions: Usage-based recommendations
• Better Security: Real risks surfaced