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How to Secure PCI DSS Compliance as a Business Owner

  • By Gcore
  • April 3, 2024
  • 7 min read
How to Secure PCI DSS Compliance as a Business Owner

Payment Card Industry Data Security Standard (PCI DSS) compliance is a set of mandatory practices for every business that processes credit or debit card payments anywhere in the world. Adhering to these requirements helps companies to protect sensitive cardholder data and mitigates the risk of data breaches, which could devastate their reputation and deplete their customer base. This article will provide a comprehensive overview of PCI DSS compliance, including its significance, essential requirements, and steps to achieve compliance. 

What Is PCI DSS Compliance?

PCI DSS Compliance

PCI DSS, or the Payment Card Industry Data Security Standard, is a set of requirements designed to ensure companies that handle credit or debit card information keep it safe. While PCI DSS compliance is not a legal requirement, it is mandated by major credit card companies as a condition for processing credit card payments, and is enforced through contractual agreements between merchants, credit card companies, and acquiring banks. Failure to comply with the standard can result in substantial financial penalties and potential termination of services, making PCI DSS functionally necessary for any business processing card payments. By adhering to these standards, businesses help to prevent the theft and misuse of card details, protect their brand, and avoid becoming victims of fraud.

Who Needs to Comply?

Any business that processes, stores, or transmits credit or debit card payments must adhere to PCI DSS. This includes merchants, online retailers, payment processors, and others in the payment ecosystem. The goal is to ensure that all parties involved in handling card information maintain a secure environment, thereby protecting consumers and reducing the risk of financial fraud.

What’s Needed to be PCI DSS Compliant?

The exact security measures with which a merchant must comply vary depending on the specific merchant level they’re assigned, based on their transaction volume. These requirements can include secure network configurations, data encryption, access control, and regular monitoring of security systems (more on these later.) These protocols are designed to create a secure payment environment for cardholder data like card numbers and security codes throughout its lifecycle in a company’s system, from initial transaction processing to data storage and transmission.

Why Businesses Need PCI DSS Compliance

As the digital marketplace expands, customers share their personal and financial information by customers with trusted brands with increasing frequency. Unfortunately, this increase in online transactions attracts hackers aiming to steal sensitive data. Data breaches can significantly impact even the largest and seemingly most robust financial systems, as seen in the Bank of America data breach of February 2024, which exposed the personal details of over 57,000 individuals. Compliance with PCI DSS is one way businesses can protect their customers’ data and maintain trust.

Non-compliance can lead to substantial financial penalties from credit card companies, ranging from $5,000 to $100,000 per month, and may result in the suspension of credit card processing privileges. Maintaining strong relationships with payment card brands and banks is key to PCI DSS compliance. This is because these entities control the access and terms under which businesses can process card payments. Compliance with PCI DSS signals to these partners that a business is serious about safeguarding payment data, which is essential for building trust and securing favorable processing rates and terms.

These financial institutions often reserve their most advanced security technologies and support services for partners they view as low-risk and compliant. This access helps detect and prevent security threats early, reducing the risk of crippling breaches. Moreover, it facilitates smoother transactions by minimizing disruptions caused by security issues, thereby enhancing the customer experience and giving the business a competitive advantage.

Key Requirements for PCI DSS Compliance

The PCI DSS consists of twelve key requirements, 78 base requirements, and over 400 test procedures. These are designed to secure cardholder data, ensure the safety of the cardholder data environment, and prevent security breaches. The key requirements are as follows:

  1. Build and maintain network security controls: Use firewalls and network segmentation to create secure zones, preventing unauthorized access to cardholder data.
  2. Apply secure configurations to all systems: Set up systems with strong security settings, including changing default passwords, to defend against hackers.
  3. Protect stored cardholder data: Encrypt or otherwise render unreadable any stored cardholder information to secure it from unauthorized access.
  4. Encrypt transmission of cardholder data across open networks: Use strong encryption when sending cardholder data over the internet to prevent interception by attackers.
  5. Protect all systems against malware: Install and regularly update anti-malware software to defend against malicious software designed to steal cardholder data.
  6. Develop and maintain secure systems and applications: Regularly update and patch systems and software to protect against known vulnerabilities.
  7. Restrict access to cardholder data by businesses’ need to know: Limit access to cardholder data to only those individuals whose job requires it, enhancing data protection.
  8. Identify and authenticate access to system components: Assign unique IDs to each person with computer access, ensuring actions can be traced to specific users.
  9. Restrict physical access to cardholder data: Use physical barriers and controls like cameras and locks to prevent unauthorized access to systems and media holding cardholder data.
  10. Log and monitor all access to network resources and cardholder data: Keep detailed logs of system activity to enable tracking and analysis in the event of a data breach.
  11. Regularly test security systems and processes: Conduct regular tests to find and fix security weaknesses, ensuring the effectiveness of protective measures over time.
  12. Maintain a policy that addresses information security for all personnel: Establish, publish, and maintain security policies, educating all personnel about their responsibility to protect cardholder data.

How to Achieve PCI DSS Compliance

How to Implement PCI DSS Compliance

To meet the 12 PCI DSS key requirements, businesses must undertake several steps, each tailored to address specific areas of compliance.

But First, a Note

While achieving compliance on your own is possible, doing so demands a considerable investment in time, resources, and specialized knowledge. For many, the complexity and scope of the task make seeking external expertise a wise choice. Qualified Security Assessors (QSAs) provide an independent audit of your PCI DSS compliance by first assessing your security posture and then reporting on your adherence to the standards. Managed Service Providers (MSPs), on the other hand, manage your ongoing PCI DSS compliance, handling tasks like assessments, vulnerability scanning, and security control maintenance. Organizations should assess their operational needs, available resources, and tolerance for risk to determine the most appropriate path to compliance.

The cost of a data breach often far exceeds the expense of achieving compliance through a QSA or MSP, making the investment in professional services potentially cost-saving in the long run.

Step 1: Pinpoint Your PCI DSS Compliance Level

Do you know your PCI DSS compliance level?

Understanding your organization’s PCI DSS compliance level directly influences which self-assessment questionnaires (SAQs) you’re eligible for and outlines the specific measures you need to undertake to achieve compliance. This classification is based on the volume of credit card transactions your company processes annually. For instance, a Level 1 merchant, handling over 6 million transactions a year, faces more stringent assessment procedures compared to a Level 4 merchant, with fewer than 20,000 e-commerce transactions annually.

To determine your PCI compliance level, first gather data on all credit card transactions from the past year, including online, in-person, and phone transactions. Then, compare your total transactions to the PCI Security Standard Council’s defined levels to identify your compliance category, using resources like the PCI SSC Merchant Levels guide and consulting with a PCI expert or your acquirer if your volume is close to a threshold.

Step 2: Form Your Business’ PCI DSS Compliance Team

Include members from IT, data security, finance, and legal departments in your dedicated PCI compliance team to ensure a comprehensive approach to PCI DSS compliance. The compliance team collaborates on understanding PCI requirements: IT focuses on secure network architecture; Data Security on vulnerability scanning best practices; Finance on transaction data protection; Legal on regulatory adherence. Implementations include IT configuring firewalls, Data Security conducting vulnerability assessments, Finance reviewing financial processes, and Legal drafting compliant policies.

Ongoing PCI DSS compliance is managed by budgeting for direct costs, such as software and hardware updates, and indirect costs, including staff training and consultancy fees. Regular security assessments, employee training oversight, and incident response management must also be performed to ensure the continuous protection of cardholder data.

Step 3: Fill Out a Self-Assessment Questionnaire (SAQ)

Completing an SAQ helps businesses identify how well their operations align with PCI DSS requirements. This is a detailed self-examination of your payment processing systems to pinpoint any security gaps. Its importance is two-fold: It helps secure compliance while signaling to customers and partners your proactive stance on data protection, promoting a credible reputation.

To find the right SAQ for your card processing method, see the PCI Security Standards Council’s dedicated chart.

Step 4: Strengthen Your Security Measures

Adopting robust security measures is essential for PCI DSS compliance and for protecting against data breaches. Your compliance team needs to secure your network, control access, safeguard passports, apply encryption, and store data appropriately. Let’s look at each measure in turn.

Secure Your Network

Implement firewalls to create a barrier between your internal network and unsecured external networks, such as the internet. It’s your IT department’s job to set up and manage these firewalls, creating a secure barrier that filters out unauthorized access from external networks. They should regularly review and update firewall rules to adapt to new threats, ensuring only necessary traffic for business operations passes through.

Control Access

Implement stringent access controls to ensure that only authorized personnel can view and handle sensitive cardholder data. Your IT and data security teams must work together to assign a unique ID to each employee, ensuring that individuals can only access information necessary for their job roles. This includes setting up systems for tracking user activities and regularly reviewing access permissions to minimize risks.

Safeguard Your Passwords

Changing default passwords and establishing strong password policies are also responsibilities of your IT department and may be guided by National Institute for Standards and Technology (NIST) standards. These policies should enforce the creation of complex passwords that are changed regularly to prevent unauthorized access. Training sessions organized by HR can help employees understand the importance of these policies and how to comply with them.

Apply Encryption to Cardholder Data

Encryption converts sensitive information into a secure format, readable only with a decryption key, ensuring cardholder data remains confidential and secure. Your IT team should employ strong encryption methods for data in transit, such as SSL/TLS (secure sockets layer and transport layer security) protocols.

For an added layer of security, consider implementing point-to-point encryption (P2PE) solutions. P2PE technology encodes data from the moment of capture until it reaches your payment processor, making it unreadable to outsiders.

How point-to-point encryption works

Lock Down Your Stored Data

Ensure the security of data stored on servers by restricting physical and digital access to these servers and databases. Your data security team should encrypt stored data and conduct regular audits to check for vulnerabilities. It’s also their job to monitor for unauthorized access attempts, with IT support to maintain the integrity of these storage systems.

Step 5: Submit All Required Documentation

AoC vs. RoC

The final step in the PCI DSS compliance process involves filing the required paperwork to payment card brands. This includes the Attestation of Compliance (AoC) and, if applicable, the Report on Compliance (RoC) prepared by a QSA. These documents serve as proof that your organization has implemented the necessary security measures to protect cardholder data, fulfilling the requirements set forth by the PCI Security Standards Council.

Conclusion

Achieving PCI DSS compliance is essential for any business handling card payments, as it helps protect cardholder data and mitigate the risk of data breaches. It fulfills regulatory requirements, boosts customer trust, and safeguards the business’s reputation.

Gcore uses advanced strategies to deliver dependable, comprehensive protection for payment data. Our infrastructure meets stringent global security standards, with PCI DSS, GDPR, SOC 2, and ISO 27001 certifications demonstrating our unwavering commitment to data security.

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Evaluating these factors can help determine the most appropriate GPU option.Choose Gcore for Best-in-Class AI GPUsGcore offers bare metal servers with NVIDIA H100, A100, and L40S GPUs. Using the 3.2 Tbps InfiniBand interface, you can combine H100 or A100 servers into scalable GPU clusters for training and tuning massive ML models or for high-performance computing (HPC).If you are looking for a scalable and low-latency solution for global AI inference, explore Gcore Inference at the Edge. It especially benefits latency-sensitive, real-time applications, such as generative AI and object recognition.Discover Gcore bare metal GPUs

How to Configure Grafana for Visualizing Kubernetes (K8s) Cluster Monitoring

Kubernetes monitoring allows you to observe your workloads and cluster resources, spot issues and failures, and efficiently manage pods and other resources. Cluster admins should prioritize tracking the performance and stability of clusters in these environments. One popular tool that can help you visualize Kubernetes monitoring is Grafana. This monitoring solution lets you display K8s metrics through interactive dashboards and real-time alerts. It seamlessly integrates with Prometheus and other data sources, providing valuable insights.Gcore Managed Kubernetes simplifies the Grafana setup process by providing a managed service that includes tools like Grafana. In this article, we’ll explain how to set up and configure Grafana to monitor Kubernetes, its key metrics, and dashboards.Setting Up Grafana for Effective Kubernetes MonitoringTo begin monitoring Kubernetes with Grafana, first, check that you have all the requirements in place: a functioning Kubernetes cluster, the Helm package manager installed, and kubectl set up to communicate with your cluster.Install Grafana in a Kubernetes Cluster. Start by adding the Grafana Helm repository.helm repo add grafana https://grafana.github.io/helm-chartshelm repo updateNext, install Grafana using Helm. This command deploys Grafana into your Kubernetes cluster:helm install grafana grafana/grafanaNow it’s time to configure Grafana for the Kubernetes environment. After installation, retrieve the admin password by using the command below:kubectl get secret --namespace default grafana -o jsonpath="{.data.admin-password}" | base64 --decode ; echoThen access the Grafana UI by port-forwarding:kubectl port-forward svc/grafana 3000:80Open your web browser and navigate to http://localhost:3000. Log in using the default username admin and the password you retrieved. Once logged in, you can configure Grafana to monitor your Kubernetes environment by adding data sources such as Prometheus and creating custom dashboards.You’ve now successfully set up Grafana for Kubernetes monitoring!Key Metrics for Kubernetes MonitoringUnderstanding metrics for Kubernetes monitoring allows you to visualize your cluster’s reliability. Key metrics are the following:Node resources. Track CPU and memory usage, disk utilization, and network bandwidth to understand resource consumption and identify bottlenecks.Cluster metrics. Monitor the number of nodes to understand resource billing and overall cluster usage, and track running pods to determine node capacity and identify failures.Pod metrics. Measure how pods are managed and deployed, including instances and deployment status, and monitor container metrics like CPU, memory, and network usage.State metrics. Keep an eye on persistent volumes, disk pressure, crash loops, and job success rates to ensure proper resource management and application stability.Container metrics. Track container CPU and memory usage relative to pod limits, and monitor network data to detect bandwidth issues.Application metrics. Measure application availability, performance, and business-specific metrics to maintain optimal user experience and operational health.Setting Up Grafana DashboardsYou can opt to design and tailor Grafana dashboards to monitor your Kubernetes cluster. This will help you better understand your systems’ performance and overall well-being at a glance.Log into Grafana. Open your web browser, go to http://localhost:3000/, and log in with the default credentials (admin for both username and password), then change your password if/when prompted.Grafana—Log In to Start MonitoringAdd data source. Navigate to Configuration and select Data Sources. Click on Add Data Source and choose the appropriate data source, such as Prometheus.Create a dashboard. Go to Create > Dashboard, click Add New Panel, choose the panel type (e.g., Time series chart, Gauge, Table), and configure it with a PromQL query and visualization settings.Adding a New Panel in Grafana DashboardOrganize and save the dashboard. Arrange panels by clicking Add Panel > Add Row and dragging panels into the desired rows. To save the dashboard, click the save icon, name it, and confirm the save.Gcore Managed Kubernetes for Kubernetes MonitoringWhether you’re getting started with monitoring Kubernetes or you’re a seasoned pro, Gcore Managed Kubernetes offers significant advantages for businesses seeking efficient and reliable Kubernetes cluster monitoring and container management:Ease of integrating Grafana: The service seamlessly integrates with Grafana, enabling effortless visualization and monitoring of performance metrics via dashboards.Automated control: Gcore Managed Kubernetes simplifies the setup and monitoring process by using automation. This service conducts health checks on your nodes, automatically updating and restarting them when needed to keep performance at its best.Enhanced security and reliability: Gcore Managed Kubernetes guarantees the management of nodes by integrating features like automatic scaling and self-repairing systems to maintain optimal performance.Discover Gcore Managed Kubernetes, including automated scaling, one-click provisioning, and Grafana integration.

TCO Comparison: Self-Managed Kubernetes vs. Managed Kubernetes Provider

Calculating the total cost of ownership (TCO) for Kubernetes requires identifying all major expenses, including infrastructure costs, personnel costs, and potential cloud provider fees. With a clear picture of TCO, you can make a more informed decision when choosing between self-managed (self-hosted) Kubernetes and a managed Kubernetes provider. The TCOs of the two approaches are significantly different, and this article will show you exactly how and why.TCO Comparison SummaryThe table below shows the key aspects of the TCO comparison between self-managed Kubernetes and managed Kubernetes providers. It compares infrastructure expenses, including provider fees, and an engineer’s salary.For this comparison, we’ll assume that a company would need only one DevOps engineer for managed Kubernetes, whereas companies opting for self-hosted Kubernetes would need three. We’ll look at rented cloud VMs for self-hosted, and out-of-the-box K8s clusters for managed Kubernetes—two standard scenarios for a fair comparison. For both scenarios, the infrastructure costs shown in the table are the average when considering AWS, Azure, Google Cloud, and Gcore. InfrastructureEngineers’ salaryTotal annual costSelf-hosted Kubernetes$13,737.64$321,500$335,238Managed Kubernetes$6,157.8$107,167$113,325As you can see, the TCO of self-hosted Kubernetes is almost three times higher than that of managed Kubernetes. Let’s explore the reasons for this major cost discrepancy.Infrastructure Cost ComparisonKubernetes is a free software. But to run it, you have to rent or buy infrastructure, such as VMs or physical servers. The way you do so differs depending on whether you opt for self-hosted or managed Kubernetes. To understand infrastructure costs, we need to take a closer look at each method in turn and explore the components required.Self-hosted KubernetesIf you choose to run K8s independently, you’ll need to rent VMs for the Kubernetes master node (the control plane) and worker nodes. Let’s consider a production-grade cluster consisting of the following:3 VMs for the control plane, required for fault tolerance2 VMs for the worker nodesFor simplicity, we choose VMs with a configuration suitable for an average web project: 8 vCPU, 16 GB RAM, and 75 GB SSD.Here is the pricing* offered by four cloud providers for VMs available in the US:ProviderVM types and resourcesTotal annual cost of five VMsAWSc6g.2xlarge—8 vCPU, 16 GB RAM, 75 GB SSD$12,273.6AzureA8 v2 series—8 vCPU, 16 GB RAM, 64 GB SSD**$17,764.2Google CloudN1 series—8 vCPU, 16 GB RAM, 75 GB SSD$16,721.33Gcoreg1 standard series—8 vCPU, 16 GB RAM, 75 GB SSD$8,191.42Average$13,737.64* Prices are for on-demand VMs; no commitment; no VAT; ingress traffic is not included.** Azure only offers fixed volume sizes for built-in storage.Managed KubernetesWith managed K8s, you don’t have to worry about renting separate VMs and setting up the Kubernetes software. You choose the VM configurations for your worker nodes, and a provider prepares them for you. The result is an out-of-the-box Kubernetes cluster.Sometimes, you also have to consider fees for control plane management (fixed) and egress traffic (consumption-based). Providers like AWS, Google Cloud, and Azure charge for this, while others—like Gcore—don’t.Here are the prices* offered by four cloud providers for similar cluster configurations in the US:ProviderControl plane managementCluster of two worker nodesTotal annual costConfigurationAnnual costAmazon EKS$8768 vCPU, 16 GB RAM, 75 GB SSD$4,909.44$5,785.44AKS (Azure)$8768 vCPU, 16 GB RAM, 64 GB SSD**$7,048.08$7,924.08GKE (Google)$876X vCPUs, X GB RAM$6,832.08$7,708.08Gcore Managed Kubernetes08 vCPU, 16 GB RAM, 75 GB SSD$3,213.6$3,213.6Average$6,157.8* Prices are for on-demand VMs; no commitment; no VAT; ingress traffic is not included.** Azure only offers fixed volume sizes for built-in storage.Engineer Cost ComparisonTo maintain a production-grade cluster for an average web project, you need:For a self-hosted K8s cluster—3 DevOps engineersFor a managed K8s cluster—1 DevOps engineerTo learn more about the technical reasons behind these calculations, read our article on the difference between managed and self-managed Kubernetes.According to Glassdoor, the median salary for a DevOps engineer is as follows:In the US: $140,000In Germany: €69,000 (or $74,333, the highest in Europe) DevOps salary in the USDevOps salary in GermanyAverage annual salarySelf-hosted Kubernetes (3 engineers)$420,000$222,999$321,500Managed Kubernetes (1 engineer)$140,000$74,333$107,167Final ComparisonHere is the final TCO comparison between self-managed Kubernetes and managed Kubernetes providers:ProvidersInfrastructureEngineers’ salaryTotal annual costBy providerAverageSelf-hosted KubernetesAWS$12,273.6$13,737.64$321,500$335,238Azure$17,764.2GCP$16,721.33Gcore$8,191.42Managed KubernetesAmazon EKS$5,785.44$6,157.8$107,167$113,325AKS (Azure)$7,924.08GKE (Google)$7,708.08Gcore Managed Kubernetes$3,213,6Summing UpPlease note that these approximate calculation probably aren’t exactly what you’ll experience. The actual numbers will depend on many factors, including:Size and complexity of your projectLocation where you hire engineers and deploy a K8s clusterChoice of providerHow you consume and scale computing resourcesHowever, the difference between the TCO of the two methods is relevant to what we got above: the total cost of ownership of self-managed Kubernetes is about three times higher than that of managed Kubernetes.The main reason is that Managed Kubernetes means a provider handles many of the most complex operations. This includes managing the underlying infrastructure and control plane, regular and security upgrades, monitoring, scaling the cluster, and, critical to production, high availability guaranteed by an SLA. With self-hosted K8s, you have to do that yourself, which means a larger infrastructure, larger team size, and higher salary costs.ConclusionUnderstanding the TCO difference between self-managed Kubernetes and a managed Kubernetes provider can help you choose a solution that is more suitable for your team and meets your budget. Kubernetes cost analysis can also help you identify areas for optimization, such as right-sizing your infrastructure or optimizing workloads for better resource utilization. However, the TCO isn’t the only aspect of choosing how to run Kubernetes: you should also consider things like the setup and maintenance responsibilities, as well as your project requirements.If you’re looking for reliable, high-performance, and scalable Kubernetes clusters, try Gcore Managed Kubernetes. We offer free cluster management with a 99.9% SLA, bare metal and GPU support for worker nodes, and free egress traffic.Explore Gcore Managed Kubernetes

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