Cloud Security & Compliance: Fannie Mae (Top Housing Finance & MBS Globally)

Fannie Mae is a US government-sponsored enterprise (GSE) that provides mortgage financing and housing information. Total assets under management in 2023 were $4.325 trillion.
Challenges
- Security Transformation: Large-scale security transformation initiatives across various lines of business (LOBs).
- Data Security and Privacy: Ensuring data security and privacy for unstructured data across cloud storage locations.
- Fraud Detection: Detecting suspicious activities in lending products and debit card transactions in real-time.
- Identity and Data Orchestration: Building real-time identity and data orchestration platforms.
- Unified Logging: Creating a unified logging platform to reduce costs associated with existing logging solutions.
- Security Operations Improvement: Enhancing security center operations, vulnerability management, and developer auto-remediation automation.
Solution
- Security/EA Advisor: Provided trusted advisory services for security transformation initiatives.
- Data Organization and Quality: Implemented data capture/curation, on-premise data lake architecture, data profiling, quality rules, and automatic data quality remediation.
- Hybrid MLOps Platform: Built a next-generation hybrid MLOps platform with on-cloud development and on-prem deployment using AWS Sagemaker.
- Synthetic Fraud Data: Used synthetic fraud transaction data to avoid investing in additional security controls.
- Domain-Centric Data Mesh: Employed a Cloudera Data Mesh approach for mortgage data organization.
- Identity and Data Orchestration Platforms: Designed platforms using OPA, PlainID, Immuta, AKS, Omada, and Tetrate.io.
- BigID Solution: Implemented BigID for data security and privacy in the cloud.
- SecCM Solution: Architected a Security Configuration Management solution for real-time drift detection and SaaS posture management.
- CyberDelta Lake Analytics: Developed a unified logging platform with AWS Security Lake to reduce costs.
- BISO and Product Owner: Improved CRM infrastructure security operations, vulnerability management, and developer auto-remediation automation.
Tangible Results
- Enhanced Security Posture: Significant improvement in security baselines and vulnerability management.
- Cost Reduction: Reduced spend on logging platforms like Splunk and Syslog.
- Real-Time Fraud Detection: Effective detection of suspicious activities in lending and debit card transactions.
- Improved Data Quality: Enhanced data quality through profiling, quality rules, and remediation.
- Efficient Identity Management: Streamlined identity and data orchestration with advanced platforms.
- Data Security and Privacy: Improved data security and privacy for unstructured data in the cloud.
- Operational Efficiency: Enhanced security center operations and developer auto-remediation processes.