(678) 345-3456
380 Albert St, Melbourne, Australia

Blog Details

  • Stormatics
  • Blog
  • Protecting Personally Identifiable Information in PostgreSQL: A Critical Requirement for Financial Organizations

Protecting Personally Identifiable Information in PostgreSQL: A Critical Requirement for Financial Organizations

For any financial company that handles sensitive data as part of its operations, the protection of personally identifiable information (PII) is paramount. With the increasing frequency and sophistication of cyberattacks, it is crucial for these companies to implement robust security measures to safeguard PII.

This includes ensuring that even in the event of a breach, unauthorized individuals cannot read or misuse the data. One of the most effective ways to achieve this is through the encryption of data both in motion and at rest.

Table of Contents

1. Importance of Protecting Personally Identifiable Information

2. Risks of Data Breaches

3. Encryption: A Key Security Measure

4. Implementing Encryption in PostgreSQL

5. Compliance Regulations and Encryption Requirements

6. Best Practices for Implementing Encryption

7. Concluding Thoughts

This blog will delve into the importance of encryption, the methods used to secure data in PostgreSQL databases, and the compliance regulations that mandate these practices.

The Importance of Protecting Personally Identifiable Information

Financial institutions manage a vast amount of sensitive data, including names, addresses, Social Security numbers, bank account details, and credit card information. This data is a prime target for cybercriminals who seek to commit fraud, identity theft, and other malicious activities.

Protecting PII is not only a legal obligation but also a critical component of maintaining customer trust and the integrity of the financial system.

Risks of Data Breaches

Data breaches can have devastating consequences for both financial companies and their customers. The potential impacts include:

  • Financial Losses: Direct costs such as legal fees and compensation to affected customers can be substantial.
  • Reputational Damage: Loss of customer trust can result in long-term harm to the company’s brand and customer relationships.
  • Regulatory Penalties: Non-compliance with data protection regulations can lead to severe penalties and legal action.
  • Operational Disruption: Breaches can disrupt normal business operations, leading to further financial and reputational damage.

Given these risks, it is imperative for financial institutions to implement robust security measures to protect PII.

Encryption: A Key Security Measure

Encryption is the process of converting data into a coded format that can only be read by authorized individuals with the appropriate decryption key. It is a fundamental security measure used to protect data from unauthorized access.

There are two primary types of encryption that financial companies must implement: encryption of data in motion and encryption of data at rest.

Encryption of Data in Motion

Data in motion refers to data that is being transmitted over a network. Encrypting data in motion ensures that even if the data is intercepted during transmission, it cannot be read by unauthorized parties. This is typically achieved using Transport Layer Security (TLS) protocols.

Transport Layer Security (TLS): TLS is a widely used cryptographic protocol that provides end-to-end security for data transmitted over the internet. It encrypts the data before it leaves the sender’s device and decrypts it only when it reaches the intended recipient. This ensures that the data remains secure during transit.

Encryption of Data at Rest

Data at rest refers to data that is stored on physical media, such as databases, hard drives, and backups. Encrypting data at rest protects it from unauthorized access, even if the physical media is stolen or accessed unlawfully. There are several methods to achieve this:

  • Disk-Level Encryption: This method encrypts the entire disk or storage device. It ensures that all data stored on the disk is encrypted, providing comprehensive protection.
  • Column-Based Encryption: This method encrypts specific columns within a database. It allows for more granular control over which data is encrypted and can be useful for targeting particularly sensitive information.
  • Transparent Data Encryption: This technology encrypts data files at the storage level, making encryption and decryption automatic and transparent to applications. It ensures that data is encrypted when written to disk and decrypted when read into memory.

 Implementing Encryption in PostgreSQL

PostgreSQL provides robust encryption options to secure data both in motion and at rest. Implementing these encryption techniques is essential for financial companies to ensure the security of cardholder data and other sensitive information.

TLS for Data in Transit

To secure data in transit in PostgreSQL, it is essential to implement TLS. This involves configuring the PostgreSQL server and client to use TLS for all network communications. Here are the key steps:

  • Generate SSL Certificates: Create SSL certificates for the PostgreSQL server and clients. These certificates are used to establish a secure connection.
  • Configure PostgreSQL to Use SSL: Modify the PostgreSQL configuration files to enable SSL connections. This includes setting parameters such as `ssl`, `ssl_cert_file`, and `ssl_key_file`.
  • Enforce SSL Connections: Ensure that all client connections to the PostgreSQL server use SSL by configuring the `pg_hba.conf` file to require SSL.

By implementing TLS, financial companies can ensure that data transmitted between PostgreSQL servers and clients is encrypted and secure.

Disk-Level and Column-Based Encryption for Data at Rest

To protect data at rest in PostgreSQL, financial companies can implement disk-level encryption or column-based encryption.

  • Disk-Level Encryption: This can be achieved using encryption tools provided by the operating system or third-party solutions. For example, Linux systems can use LUKS (Linux Unified Key Setup) to encrypt entire disks or partitions. This ensures that all data stored on the disk is encrypted.
  • Column-Based Encryption: PostgreSQL supports various extensions and functions for column-level encryption. One common approach is to use the `pgcrypto` extension, which provides cryptographic functions for encrypting and decrypting specific columns. Here are the steps to implement column-based encryption using `pgcrypto`:
  1. Install the pgcrypto Extension: Ensure that the `pgcrypto` extension is installed and enabled in your PostgreSQL database.
  2. Encrypt Data: Use the `pgp_sym_encrypt` function to encrypt sensitive data before storing it in the database.
  3. Decrypt Data: Use the `pgp_sym_decrypt` function to decrypt the data when it needs to be accessed.

By using disk-level encryption and column-based encryption, financial companies can ensure that data stored in PostgreSQL databases is protected from unauthorized access.

Transparent Data Encryption

Transparent Data Encryption, or TDE, provides for cases where a given PostgreSQL system will encrypt all data at rest including both the data files themselves and the write-ahead log segments (which are used both in crash recovery and as the binary patch sets used for binary replication).

The purpose is to protect files and file systems if they are somehow copied off the system by an attacker. This risk includes stolen hard disks but also unauthorized access to the system as the Postgres user. Depending on the configuration of the Linux kernel, however, a root user may be able to read the running PostgreSQL program from memory and attack the key that way. Currently, that is considered an exotic attack vector but it is important to note.

In a system with TDE enabled, PostgreSQL loads up a key when the database starts and uses this key to decrypt data on read and encrypt data on write. It is very important to the security of TDE that the key is not directly accessible to Postgres on system start.

More about TDE here: TDE whitepaper from Stormatics

 

Compliance Regulations and Encryption Requirements

Various regulatory frameworks mandate the protection of PII through encryption. Financial companies must adhere to these regulations to avoid penalties and ensure the security of their customers’ data. Some of the key regulations include:

Payment Card Industry Data Security Standard (PCI DSS)

The PCI DSS is a set of security standards designed to protect cardholder data. It applies to all entities that handle payment card information. One of the key requirements of PCI DSS is the encryption of cardholder data both in transit and at rest.

Source: PCI DSS Quick Reference Guide

General Data Protection Regulation (GDPR)

The GDPR is a comprehensive data protection regulation that applies to all organizations processing personal data of individuals in the European Union. It mandates the implementation of appropriate technical and organizational measures to ensure data security.

  • Article 32: Requires the encryption of personal data to ensure its security and confidentiality.
  • Article 34: Mandates that organizations notify individuals and authorities in the event of a data breach, emphasizing the importance of encryption to mitigate risks.

Source: GDPR – Complete Regulation

Health Insurance Portability and Accountability Act (HIPAA)

HIPAA sets standards for the protection of health information in the United States. It applies to healthcare providers, insurers, and their business associates.

Security Rule: Requires the implementation of technical safeguards, including encryption, to protect electronic protected health information (ePHI) both in transit and at rest.

Source: HIPAA – Security Rule

 

Best Practices for Implementing Encryption

To effectively protect PII and comply with regulatory requirements, financial companies should follow best practices for implementing encryption. Here are some key recommendations:

Use Strong Cryptographic Algorithms

Ensure that encryption algorithms used for both data in motion and at rest are strong and up-to-date. Avoid using outdated or weak algorithms that can be easily compromised.

Regularly Update and Patch Systems

Keep all software, including PostgreSQL and encryption libraries, updated with the latest security patches. Regularly updating systems helps protect against known vulnerabilities.

Implement Key Management Practices

Proper key management is crucial for the security of encrypted data. Implement best practices such as using secure key storage, regularly rotating encryption keys, and restricting access to keys.

Conduct Regular Security Audits

Perform regular security audits and vulnerability assessments to identify and address potential weaknesses in the encryption implementation. This helps ensure that encryption measures remain effective over time.

Educate Employees

Provide training and awareness programs for employees to ensure they understand the importance of data protection and the role of encryption in securing PII. Educated employees are better equipped to follow security protocols and identify potential threats.

Concluding Thoughts

In the ever-evolving landscape of cyber threats, protecting personally identifiable information is a critical responsibility for financial companies. Encryption of data in motion and at rest is a fundamental security measure that ensures sensitive data remains secure, even in the event of a breach.

By implementing strong cryptographic techniques, adhering to compliance regulations, and following best practices, financial companies can safeguard PII and maintain the trust of their customers. As the digital landscape continues to evolve, staying vigilant and proactive in data protection efforts will be essential for the ongoing security and success of financial institutions.

Further reading

Whitepaper

Professional Services

Blogs


Subscribe to the Stormatics Newsletter


Subscribe to our newsletter, Stormatics Spotlight, for exclusive insights and community-driven expertise and get access to all things PostgreSQL every month.

Leave A Comment