BigID for Financial Services
$5.56 million. That's the average cost of a data breach in the financial services industry (IBM's "Cost of a Data Breach Report").
With increasing breaches and evolving regulations like GLBA and SEC rules, a strong, scalable data security strategy is more critical than ever. But with data expanding across cloud and hybrid environments—and AI reshaping the landscape—are you prepared to stay ahead? See how BigID helps organizations tackle finserv's most pressing security and compliance challenges.
Illuminate Financial Data Risk
Automatically discover and classify sensitive financial data across trading systems, KYC records, underwriting files, and more.
BigID helps financial institutions uncover hidden risk by identifying PII, PCI, and other regulated data across structured and unstructured sources. With ML-driven classification and deep coverage across on-prem, hybrid, and cloud environments, you’ll get the visibility you need to stay secure, compliant, and audit-ready.


Intelligent Financial Data Classification
Accurately classify sensitive financial data—at scale.
BigID helps you go beyond basic pattern-matching to classify data across customer records, financial statements, trading systems, and risk reports. Leverage trainable ML and NLP-based classifiers to reduce false positives, tailor models to your unique FinServ environment, and apply consistent labeling across your entire data estate—from cloud data lakes to core banking systems.
Enable Zero Trust for Financial Data
Minimize risk with least privilege access.
Automatically detect overexposed client records, financial documents, trading data, and other sensitive assets. BigID helps you enforce least privilege across cloud and on-prem environments by identifying high-risk access and policy violations, reducing the risk of unauthorized access, data leaks, or regulatory exposure.


Streamline Regulatory Compliance
Stay ahead of evolving financial regulations without the manual lift.
BigID helps financial institutions simplify and automate compliance with industry regulations like GLBA, SOX, FFIEC, PCI DSS, and more. Continuously monitor data posture, enforce policies, and generate audit-ready reports. Automate processes like RoPA, PIAs, DSRs, and retention enforcement while reducing compliance risk and operational overhead.
Checklist for Managing Risk and Compliance in Financial Services
Stay ahead of financial risk & regulation with a comprehensive checklist
As data grows and regulations evolve, financial institutions need more than reactive risk management. This checklist offers a practical, modern framework to help you proactively identify, mitigate, and monitor data risk—while keeping pace with compliance.
Top 10 Cybersecurity & Compliance Concerns for Financial Services