How to Secure Company Financial Data

• Financial data security combines technical controls (encryption, DLP, IAM), governance processes, and physical safeguards to protect account, transaction, and asset data.

• The CIA Triad — confidentiality, integrity, and availability — is the standard framework financial institutions use to structure a data security program.

• FINRA, GLBA, PCI-DSS, SOX, and SEC Regulation S-P each set specific, auditable requirements for how financial firms store, encrypt, and report on sensitive data.

• Egnyte's Secure & Govern capabilities add anomaly detection and ransomware flagging on top of standard controls, with account-level remediation available only after a firm authorizes it.

• Wealth management and investment teams can give AI governed access to client data and research documents, without exporting anything outside the platform.

Account numbers. Transaction histories. Credit files. Every bank, wealth manager, and lender holds all three, and attackers know it. Financial data security is the mix of technology, policy, and physical safeguards firms use to protect that information across its lifecycle, not just at intake or in a breach. It covers hardware, software, networks, storage devices, and user devices, plus the authentication and administrative controls wrapped around them.

The scope splits into two categories. Customer and transaction data includes account numbers, credit card numbers, transaction and sales records, purchase history, and credit information. Firm data includes assets and liabilities such as real estate, equipment, computers, intellectual property, patents, and outstanding debt. Protecting both keeps customers trusting a firm with their money, and keeps the firm inside the legal requirements covered below.

Security teams organize financial data programs around three properties: confidentiality, integrity, and availability. Together, they're known as the CIA Triad.

Confidentiality limits access to authorized users only. Integrity keeps stored and transferred data reliable and accurate, and catches unauthorized changes. Availability keeps data reachable, securely, for the people cleared to use it.

Firms combine several techniques to hit these three properties. Data erasure overwrites and deletes information beyond recovery. The process is permanent and irreversible, unlike a normal file delete. Data masking swaps out specific characters in a field. Only authorized users hold the key to decode the original value. After theft, disaster, or an accidental delete, data resiliency is what gets the information back. Encryption scrambles data with an algorithm, readable only to whoever holds the decryption key.

No single tool covers every risk. Financial institutions layer dozens of controls together, the exact mix depending on firm size, business model, and which regulations apply.

On the technical side: anti-malware software, application security, encryption for data at rest and in motion, endpoint threat detection and response (ETDR), firewalls, intrusion prevention systems (IPS), network segmentation, VPNs, web security, wireless security.

Identity and access adds a second layer: identity and access management (IAM), role-based access control (RBAC), strong passwords.

Then there's data handling and governance: data backups, data governance, data loss prevention (DLP), data management, data security and privacy frameworks, differentiating personal from sensitive personal data, and third-party risk management.

Detection, monitoring, and response covers anomaly detection, incident response plans (IRP), periodic risk assessments, security information and event management (SIEM), and user activity monitoring.

On the people side: email security, security awareness training.

For a broader enterprise data protection approach across industries, see our guide to Data Loss Prevention (DLP).

Financial institutions answer to a specific set of laws on data security, and falling short carries real financial and legal risk.

Financial Industry Regulatory Authority (FINRA)

SEC member firms operate under a specific set of FINRA rules covering what information they collect, maintain, and protect. The aim is fast, secure access for regulators and investors, with stakeholder data staying protected throughout.

Gramm-Leach-Bliley Act (GLBA)

Under the Gramm-Leach-Bliley Act (GLBA), financial institutions must disclose their policies and practices for protecting the confidentiality, security, and integrity of nonpublic personal information, covering both customers and non-customers whose data the firm holds.

Payment Card Industry Data Security Standard (PCI-DSS)

Accept, process, store, or transmit credit card information, and PCI-DSS's 12 requirements apply to your organization:

1. Assign a unique ID to each person with computer access.

2. Develop and maintain secure systems and applications.

3. Do not use vendor-supplied defaults for system passwords and other security parameters.

4. Encrypt transmission of cardholder data across open, public networks.

5. Install and maintain a firewall configuration to protect cardholder data.

6. Maintain a policy that addresses information security for all personnel.

7. Protect stored cardholder data.

8. Regularly test security systems and processes.

9. Restrict access to cardholder data by business need to know.

10. Restrict physical access to cardholder data.

11. Track and monitor all access to network resources and cardholder data.

12. Use and regularly update anti-virus software or programs.

Sarbanes-Oxley Act (SOX)

Public companies answer to the Sarbanes-Oxley Act (SOX) for the quality and reliability of their financial reporting. Part of SOX regulates data storage, on-premises and with cloud providers, mandating 256-bit AES encryption regardless of content type.

Securities and Exchange Commission (SEC) Rules

Registered funds and advisers write their own playbook under SEC Regulation S-P Rule 30, covering the administrative, technical, and physical safeguards that protect customer data. Rules 31a-2 and 204-2 spell out the criteria for keeping those records electronically, and firms must establish procedures to:

- Ensure that electronic copies of non-electronic originals are complete, true, and legible.

- Limit access to the records to authorized personnel, the Commission, and, for funds, fund directors.

- Safeguard the records from loss, alteration, or destruction.

California Privacy Rights Act (CPRA)

Financial firms don't get a blanket exemption from CPRA. Data covered by GLBA is generally in the clear, but anything outside that scope — employee data, prospect data, information gathered before a customer relationship begins — still needs CPRA-aligned access control, retention, and deletion.

Ransomware and other targeted attacks have outpaced perimeter tools. Firewalls and antivirus catch what they're built to catch. Everything else needs continuous file and user-activity monitoring, watching for the anomalies that mean an attack is already underway.

Egnyte's Secure & Govern capabilities watch file activity for patterns tied to ransomware: rapid mass file encryption, unusual bulk downloads, and flag them for review.

Ransomware detection covers file-encryption attacks. It's not the same threat as an attacker who already has admin access. Backup and snapshot restoration doesn't fix a privilege-compromise problem. Access management and activity monitoring do.

Rockbridge automated sensitive-content detection with Egnyte and cut compliance reporting time from 40 hours a week to 10. GP Bullhound uses activity reporting and permission auditing across its global offices to support FINRA and GDPR compliance. 

For a deeper look at enterprise ransomware detection strategies and response capabilities, see our ransomware detection guide.

Analysts and advisors want AI on client files, research documents, financial models. Most firms can't do that today without copying regulated data outside the systems where it's governed. That's the exact exposure FINRA, GLBA, and SEC rules are meant to prevent.

Egnyte's AI Safeguards control what content AI can reach by permission, user or group, and file metadata. Context-aware AI works directly inside the governed environment; nothing has to be exported first. A connected AI ecosystem built on MCP (Model Context Protocol) extends that same governed access to whatever AI tools a team already uses.

Sensitive-content classification, part of Secure & Govern, identifies which files hold regulated data before AI or any user touches them. That's what makes governed AI access work at scale, not a policy document nobody reads. Wintrust used it to strengthen data discovery, retention, and classification across a $64 billion asset base.

Insurance firms weigh the same tradeoff: AI-driven underwriting against exposure of regulated policyholder data. The fix doesn't change. AI works against data where it already lives, under the same permissions and audit trail a human user would generate.

Wealth management and investment teams work across distributed offices, outside counsel, and remote advisors, all touching the same client files and research. Location doesn't change the requirement: Reg S-P, SEC rules, and FINRA all call for documented controls and audit trails, wherever the person accessing the data happens to sit.

The Colony Group consolidated 21 offices into one governed environment on Egnyte, with audit-ready reporting on file sharing, permissions, and user access built in for internal and regulatory reviews. A separate wealth management firm moved its file sharing onto Egnyte to automate link expiration and group-based permissions.

Buy-side research works the same way. Hedge funds, private equity, private credit: deal team access ties directly to CIMs, investment memos, and financial models. Nobody outside the deal gets a link.