How to Handle and Share Credit Card Data Securely and Comply with PCI DSS ?
PCI DSS regulates the secure storing and sharing of PCI data . Explore the key ways to handle credit card data in SaaS ,Cloud and Endpoints with DLP solution like Strac.
PCI DSS compliance is critical for securely handling credit card data and other sensitive data, with requirements like encrypted transmissions and strict access controls. Best practices to share credit card numbers securely include
With PCI DSS version 4.0 set to come into full effect by March 2024, it's pivotal for organizations handling payment card data to be well-prepared. This new iteration of the standard offers a more flexible, customized approach to security, allowing organizations to adapt to innovative technology and practices while ensuring stringent data protection.
Lapses in PCI compliance can lead to severe consequences. Failure to safeguard sensitive cardholder data can not only result in financial losses but also compromise the privacy and financial well-being of countless individuals. Your choices regarding credit card data can make or break your security posture.
Enter Strac.io, a tech ally with an AI-powered tool that's all about finding, sorting, and securing sensitive data, like credit card numbers, wherever they're hiding. In this article, we will explore the intricacies of PCI DSS compliance, best practices for securing credit card transactions, and how Strac.io's innovative approach can revolutionize how organizations handle and protect this critical information.
PCI compliance is a set of standards developed and managed by the PCI Security Standards Council to ensure companies securely handle and store credit card data during card processing transactions. These standards cover technical and operational aspects to safeguard sensitive information provided by cardholders.
Learn how to find credit card and PCI data in your company's environment, including SaaS apps, Cloud apps, and Endpoint devices.
PCI DSS has 12 key requirements, 78 base requirements, and 400 test procedures to ensure that organizations are PCI compliant.
The 12 requirements are:
1. Set up and manage a firewall setup to safeguard cardholder information
2. Avoid using default settings provided by vendors for system passwords and security parameters
3. Safeguard stored cardholder data
4. Securely encrypt the transmission of cardholder data over public networks
5. Utilize and update anti-virus software consistently
6. Create and uphold secure systems and applications
7. Limit access to cardholder data based on business necessity
8. Provide a unique identification for each individual with computer access
9. Control physical access to cardholder data
10. Monitor all network resource access and cardholder data usage
11. Regularly test security procedures and systems
12. Implement an information security policy for all staff members
These 12 requirements can be grouped into 6 control objectives to ensure the security of businesses that process credit card transactions. These objectives include
To know more, read PCI DSS 4.0
Now, let us understand how to share credit card numbers securely using these principles.
Here are 6 best practices for sharing credit card numbers securely:
Sensitive information, such as credit card numbers, can be intercepted and exploited during transmission. The best way to protect its integrity is through encryption keys. Implement protocols like HTTPS, SSL, or TLS to establish a secure connection between the client and server, keeping data safe from unauthorized parties.
Avoid sharing credit card numbers through unencrypted or insecure channels such as email or SMS, as cybercriminals can easily access these.
Implement strong access controls for credit card information in our company. This will ensure that only authorized personnel can access sensitive data based on authentication and authorization. This will prevent unauthorized access or accidental leaks of sensitive data. We can use various security methods, such as multi-factor authentication, strong passwords, biometric scans, and role-based access controls.
For example, in FinTech companies, senior finance personnel may have full access to credit card data, while customer service representatives should only be able to see the last four digits for security purposes.
Data masking is a technique for protecting sensitive data by hiding or altering certain parts without compromising its functionality. This allows the data to be used for necessary business processes, such as customer support or analytics while keeping it secure. One way to implement data masking is by physically and digitally redacting or masking credit card numbers in documents.
Tools like Strac can automate this process, ensuring that sensitive information is not exposed in shared or stored documents.
PCI DSS is a collection of security protocols to ensure that any business handling and storing credit card information maintains a secure environment and stays protected from fraud. This includes conducting regular audits and vulnerability assessments to identify and address potential weaknesses, regularly updating security policies, and conducting annual audits to stay up-to-date with the latest PCI DSS requirements.
Employees are often the first line of defense against security threats. With proper training, employees can recognize potential data breaches and know how to handle sensitive data safely. This includes identifying phishing emails, securing their workstations, and processing credit card transactions securely. They should also be trained on best practices for handling and sharing confidential information to prevent security breaches.
For companies in the FinTech industry, this could involve conducting drills to spot fraudulent transaction requests and other suspicious online activities.
Detecting suspicious activity early on prevents or reduces the impact of security incidents. A well-defined response plan helps promptly and effectively address data breaches related to credit card information. Use security information and event management (SIEM) systems to monitor abnormal behavior, establish a clear incident response protocol, contain breaches, evaluate consequences, inform affected parties, and take steps to avoid similar incidents in the future.
For example, a health tech company must be vigilant in detecting irregular access patterns to patient billing data and quickly respond to identified risks.
Further reading: Why redacting credit card data is necessary for PCI
Strac Saas DLP & and Endpoint DLP protect businesses by discovering (scanning), classifying, and remediating sensitive data like SSN, driver license, credit cards, bank numbers, IP (confidential data), etc. across all communication channels like O365, Slack, GWorkspace (Gmail, Google Drive), email, One Drive, Sharepoint, Jira, Zendesk, Salesforce, etc. and also endpoints like Mac, Windows. Strac offers advanced redaction capabilities beyond flagging sensitive data, eliminating the risk of unintentional data exposure.
Let’s understand how Strac's DLP can help you with PCI DSS:
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