Accelerating Financial Data Breach Review with Multi-Layer Tagging
Accelerating Financial Data Breach Review with Multi-Layer Tagging
Delivered fast and accurate review of sensitive financial data across 45K records using sampling, tagging for deceased/minor entities, and large-file handling within the platform.
The Ask
A financial institution sought support after a breach impacting 45,000 deduplicated employee and customer records. The scope required extraction of over 20 PII fields – including data for minor and deceased individuals – from scanned, unstructured sources and large spreadsheets.
Our Solution
01.
Tiered Review with Specific Tagging
Established three levels of review, with detailed tagging for deceased and minor entities
01.
Tiered Review with Specific Tagging
Established three levels of review, with detailed tagging for deceased and minor entities
01.
Tiered Review with Specific Tagging
Established three levels of review, with detailed tagging for deceased and minor entities
02.
Sampling-Based Risk Profiling
Executed 15% pre-review sampling using keywords and regex to isolate high and low-risk documents
02.
Sampling-Based Risk Profiling
Executed 15% pre-review sampling using keywords and regex to isolate high and low-risk documents
02.
Sampling-Based Risk Profiling
Executed 15% pre-review sampling using keywords and regex to isolate high and low-risk documents
03.
In-Platform Spreadsheet Extraction
Handled large and MDE files directly within iCONECT, accelerating review throughput
03.
In-Platform Spreadsheet Extraction
Handled large and MDE files directly within iCONECT, accelerating review throughput
03.
In-Platform Spreadsheet Extraction
Handled large and MDE files directly within iCONECT, accelerating review throughput
Outcomes
01.
Streamlined Review Volume
Risk profiling enabled early exclusion of “no risk” content, reducing the overall review burden
01.
Streamlined Review Volume
Risk profiling enabled early exclusion of “no risk” content, reducing the overall review burden
01.
Streamlined Review Volume
Risk profiling enabled early exclusion of “no risk” content, reducing the overall review burden
02.
Improved Efficiency in MDE Handling
Automated data extraction for large files boosted processing speed and accuracy
02.
Improved Efficiency in MDE Handling
Automated data extraction for large files boosted processing speed and accuracy
02.
Improved Efficiency in MDE Handling
Automated data extraction for large files boosted processing speed and accuracy
03.
Enhanced Grouping Accuracy
Smart grouping logic increased consistency in extracted PII fields across related records
03.
Enhanced Grouping Accuracy
Smart grouping logic increased consistency in extracted PII fields across related records
03.
Enhanced Grouping Accuracy
Smart grouping logic increased consistency in extracted PII fields across related records
Outcomes
01.
Streamlined Review Volume
Risk profiling enabled early exclusion of “no risk” content, reducing the overall review burden
02.
Improved Efficiency in MDE Handling
Automated data extraction for large files boosted processing speed and accuracy
03.
Enhanced Grouping Accuracy
Smart grouping logic increased consistency in extracted PII fields across related records
Knowledge Centre
Case Study
Cyber Incident Response
Fast-Tracked Healthcare Breach Review with Scalable Operations
Case Study
Cyber Incident Response
Accelerating Financial Data Breach Review with Multi-Layer Tagging
Case Study
Cyber Incident Response
Navigating Jurisdictional Risk in a Global Recruitment Data Breach
Case Study
Cyber Incident Response
Optimizing Handwritten PII Extraction for a Retail Data Breach
Case Study
Cyber Incident Response
Streamlined Breach Response for a Retail Enterprise with Multi-Layered Data Classification
Case Study
Cyber Incident Response
Efficient PII Identification and Data Breach Review at Scale for a Global Financial Firm
Knowledge Centre
Case Study
Cyber Incident Response
Fast-Tracked Healthcare Breach Review with Scalable Operations
Case Study
Cyber Incident Response
Accelerating Financial Data Breach Review with Multi-Layer Tagging
Case Study
Cyber Incident Response
Navigating Jurisdictional Risk in a Global Recruitment Data Breach
Case Study
Cyber Incident Response
Optimizing Handwritten PII Extraction for a Retail Data Breach
Case Study
Cyber Incident Response
Streamlined Breach Response for a Retail Enterprise with Multi-Layered Data Classification
Case Study
Cyber Incident Response
Efficient PII Identification and Data Breach Review at Scale for a Global Financial Firm
Knowledge Centre
Case Study
Cyber Incident Response
Fast-Tracked Healthcare Breach Review with Scalable Operations
Case Study
Cyber Incident Response
Accelerating Financial Data Breach Review with Multi-Layer Tagging
Case Study
Cyber Incident Response
Navigating Jurisdictional Risk in a Global Recruitment Data Breach
Case Study
Cyber Incident Response
Optimizing Handwritten PII Extraction for a Retail Data Breach
Case Study
Cyber Incident Response
Streamlined Breach Response for a Retail Enterprise with Multi-Layered Data Classification
Case Study
Cyber Incident Response
Efficient PII Identification and Data Breach Review at Scale for a Global Financial Firm
United Kingdom
lota Analytics UK Limited
4 King's Bench Walk,
London EC4Y 7DL
United Kingdom
India
lota Analytics Private Limited 1-8 Chandigarh Technology Park, Chandigarh - 160003 India
United States
Iota Analytics Inc.
8800 Roswell Road, Bldg. C,
Suite 230, Atlanta, GA, 30350
United States
© 2024 Iota Analytics. All rights reserved.
United Kingdom
lota Analytics UK Limited
4 King's Bench Walk,
London EC4Y 7DL
United Kingdom
India
lota Analytics Private Limited 1-8 Chandigarh Technology Park, Chandigarh - 160003 India
United States
Iota Analytics Inc.
8800 Roswell Road, Bldg. C,
Suite 230, Atlanta, GA, 30350
United States
© 2024 Iota Analytics. All rights reserved.
United Kingdom
lota Analytics UK Limited
4 King's Bench Walk,
London EC4Y 7DL
United Kingdom
India
lota Analytics Private Limited 1-8 Chandigarh Technology Park, Chandigarh - 160003 India
United States
Iota Analytics Inc.
8800 Roswell Road, Bldg. C,
Suite 230, Atlanta, GA, 30350
United States
© 2024 Iota Analytics. All rights reserved.