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Banking & Financial Services

IAM Reporting and Analytics Platform

12 months28 professionals$6.8M budgetCompleted July 2024

Executive Summary

Banking security operations lacked visibility into user access patterns and privilege escalations across enterprise systems. We developed a comprehensive IAM reporting platform providing 100% coverage of access events, reducing anomaly detection time by 25%, and cutting audit preparation time by 60% while enhancing overall security posture.

The Challenge

Limited visibility into identity and access management across enterprise systems

Key Issues

  • No centralized view of user access rights and privileges
  • Manual access reviews taking weeks to complete
  • Inability to detect privilege escalation in real-time
  • Compliance audits requiring extensive manual data gathering
  • Limited forensic capabilities for access-related incidents
  • No predictive analytics for access risk assessment

Business Impact: Increased security risk from unauthorized access and inefficient compliance processes

The Solution

Comprehensive IAM analytics platform with real-time monitoring and automated compliance reporting

Phase 1: Architecture Design

Duration: 2 months

  • Mapped IAM data sources across enterprise
  • Designed centralized IAM data model
  • Established real-time data collection framework
  • Created security and privacy controls

Phase 2: Data Integration

Duration: 4 months

  • Integrated with Active Directory and LDAP systems
  • Connected application-specific IAM systems
  • Built real-time event streaming pipeline
  • Implemented data enrichment processes

Phase 3: Analytics Implementation

Duration: 4 months

  • Developed access pattern analysis algorithms
  • Built anomaly detection models
  • Created privilege escalation monitoring
  • Implemented compliance reporting automation

Phase 4: Deployment

Duration: 2 months

  • Rolled out dashboards to security teams
  • Established automated alerting systems
  • Trained security analysts and auditors
  • Created self-service analytics capabilities

Technologies Used

Azure SynapsePower BIPythonElasticsearchREST APIsApache KafkaRedisGrafanaTerraformPostgreSQL

Results & Impact

100%
Access Visibility
Complete coverage of all access events
25% Faster
Anomaly Detection
Reduced time to identify suspicious access
-60%
Audit Time
Reduction in audit preparation effort
-45%
False Positives
Improved accuracy in threat detection
Real-time
Compliance Reports
On-demand compliance reporting
500+ Apps
Coverage
Applications monitored for access

Business Impact

  • Prevented 12 potential insider threat incidents
  • Reduced access review cycle from 3 weeks to 2 days
  • Achieved zero findings in IAM security audits
  • Enabled automated access certification processes
  • Improved security team efficiency by 40%
The IAM reporting platform has given us unprecedented visibility into our access landscape. We can now proactively identify and mitigate access risks before they become security incidents. The automation has freed our team to focus on strategic security initiatives.
Head of Identity and Access Management
Banking Security Operations

Key Lessons Learned

1

IAM data normalization across systems is complex but critical

2

Real-time processing essential for timely threat detection

3

User behavior baselines require continuous refinement

4

Integration with ticketing systems crucial for remediation

5

Executive dashboards drive organizational buy-in

Next Steps

Following the success of this transformation, the roadmap includes:

  • Implementation of zero-trust architecture monitoring
  • Integration with privileged access management systems
  • Development of predictive access risk scoring
  • Expansion to include third-party access monitoring