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Leveraging APM Solutions to Protect Payment Card Information

Brad Reinboldt

Security breaches are common today – from computer viruses, such as Bash Bug or Heartbleed, undermining the security of millions of websites, to credit card cyber theft experienced by big retailers. One effort to protect cardholder information is Payment Card Industry (PCI) Data Security Standard (DSS), which was created in October 2008 to protect personal cardholder information whenever used in a financial transaction. PCI DSS, which is applied wherever cardholder data is stored, processed or transmitted, is becoming a requirement for organizations that utilize credit cards. Failure to adhere to the PCI DSS standard can result in revocation of card processing privileges or monetary penalties. However, Application Performance Management (APM) designed to capture and retain network application transaction data, also has the potential to violate compliance. Below is an outline of the 12 requirements to be PCI DSS-compliant and how to manage APM to avoid violations.

In general, PCI DSS procedures are based on 12 requirements that fall within six categories:

BUILD AND MAINTAIN A SECURE NETWORK

Requirement 1: Install and maintain a firewall configuration to protect cardholder data.

Requirement 2: Do not use vendor-supplied defaults for system passwords.

PROTECT CARDHOLDER DATA

Requirement 3: Protect stored cardholder data.

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

MAINTAIN A VULNERABILITY MANAGEMENT PROGRAM

Requirement 5: Use and regularly update anti-virus software or programs.

Requirement 6: Develop and maintain secure systems and applications.

IMPLEMENT STRONG ACCESS CONTROL MEASURES

Requirement 7: Restrict access to cardholder data by business need-to-know.

Requirement 8: Assign a unique ID to each person with computer access.

Requirement 9: Restrict physical access to cardholder data.

REGULARLY MONITOR AND TEST NETWORKS

Requirement 10: Track and monitor all access to network resources and cardholder data.

Requirement 11: Regularly test security systems and processes.

MAINTAIN AN INFORMATION SECURITY POLICY

Requirement 12: Maintain an information security policy.

Below are seven considerations when assessing which APM solution to select, in order to make sure it does not hinder compliance:

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

Most systems today provide default passwords, but require that they are changed upon installation and configuration. The IT team needs to ensure all components of the APM solution that track or retain customer cardholder data include strong and flexible password protection.

2. Protect stored cardholder data

There are a number of APM solutions that include packet-level storage capabilities. This functionality enables simplified troubleshooting of application and network anomalies. Depending on configuration, it could also capture cardholder data within the payload. Therefore, it is critical the data is protected while at rest or when transmitted using a strong encryption method.

3. Encrypt transmission of data across open, public networks

Whenever credit card data traverses an unsecured network, it must be encrypted. If an APM solution allows for remote console access across an open public network, verify the data is likewise encrypted.

4. Develop and maintain secure systems and applications

Two sections of this requirement do affect APM solutions: secure authentication and data encryption. A compliant APM solution needs to incorporate these attributes into their feature set.

5. Restrict access to cardholder data by business need-to-know

APM solutions that capture cardholder information must be capable of restricting access by staff to the minimum level required to perform their duties. Best-in-class APM solutions enable unique access rights to each user to ensure only select individuals have access to the most sensitive data.

6. Restrict physical access to cardholder data

APM solution components that store cardholder data must be located in secure data center locations.

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

APM solutions with post-event forensic analysis can greatly enhance a company’s ability to satisfy this requirement by enabling detailed access tracking and identification of compromised data or system components.

When utilized with other enterprise system logging solutions, APM solutions can greatly strengthen an organization’s ability to satisfy this important PCI DSS requirement. When selecting APM solutions, be sure to select products that offer feature sets that satisfy PCI DSS compliance. For example, look for products that allow each user to have distinct logon identification and offer post-event forensic analysis and data-at-rest encryption. This will help ensure that your APM solution protects cardholder data while remaining in full compliance with PCI DSS requirements.

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Leveraging APM Solutions to Protect Payment Card Information

Brad Reinboldt

Security breaches are common today – from computer viruses, such as Bash Bug or Heartbleed, undermining the security of millions of websites, to credit card cyber theft experienced by big retailers. One effort to protect cardholder information is Payment Card Industry (PCI) Data Security Standard (DSS), which was created in October 2008 to protect personal cardholder information whenever used in a financial transaction. PCI DSS, which is applied wherever cardholder data is stored, processed or transmitted, is becoming a requirement for organizations that utilize credit cards. Failure to adhere to the PCI DSS standard can result in revocation of card processing privileges or monetary penalties. However, Application Performance Management (APM) designed to capture and retain network application transaction data, also has the potential to violate compliance. Below is an outline of the 12 requirements to be PCI DSS-compliant and how to manage APM to avoid violations.

In general, PCI DSS procedures are based on 12 requirements that fall within six categories:

BUILD AND MAINTAIN A SECURE NETWORK

Requirement 1: Install and maintain a firewall configuration to protect cardholder data.

Requirement 2: Do not use vendor-supplied defaults for system passwords.

PROTECT CARDHOLDER DATA

Requirement 3: Protect stored cardholder data.

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

MAINTAIN A VULNERABILITY MANAGEMENT PROGRAM

Requirement 5: Use and regularly update anti-virus software or programs.

Requirement 6: Develop and maintain secure systems and applications.

IMPLEMENT STRONG ACCESS CONTROL MEASURES

Requirement 7: Restrict access to cardholder data by business need-to-know.

Requirement 8: Assign a unique ID to each person with computer access.

Requirement 9: Restrict physical access to cardholder data.

REGULARLY MONITOR AND TEST NETWORKS

Requirement 10: Track and monitor all access to network resources and cardholder data.

Requirement 11: Regularly test security systems and processes.

MAINTAIN AN INFORMATION SECURITY POLICY

Requirement 12: Maintain an information security policy.

Below are seven considerations when assessing which APM solution to select, in order to make sure it does not hinder compliance:

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

Most systems today provide default passwords, but require that they are changed upon installation and configuration. The IT team needs to ensure all components of the APM solution that track or retain customer cardholder data include strong and flexible password protection.

2. Protect stored cardholder data

There are a number of APM solutions that include packet-level storage capabilities. This functionality enables simplified troubleshooting of application and network anomalies. Depending on configuration, it could also capture cardholder data within the payload. Therefore, it is critical the data is protected while at rest or when transmitted using a strong encryption method.

3. Encrypt transmission of data across open, public networks

Whenever credit card data traverses an unsecured network, it must be encrypted. If an APM solution allows for remote console access across an open public network, verify the data is likewise encrypted.

4. Develop and maintain secure systems and applications

Two sections of this requirement do affect APM solutions: secure authentication and data encryption. A compliant APM solution needs to incorporate these attributes into their feature set.

5. Restrict access to cardholder data by business need-to-know

APM solutions that capture cardholder information must be capable of restricting access by staff to the minimum level required to perform their duties. Best-in-class APM solutions enable unique access rights to each user to ensure only select individuals have access to the most sensitive data.

6. Restrict physical access to cardholder data

APM solution components that store cardholder data must be located in secure data center locations.

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

APM solutions with post-event forensic analysis can greatly enhance a company’s ability to satisfy this requirement by enabling detailed access tracking and identification of compromised data or system components.

When utilized with other enterprise system logging solutions, APM solutions can greatly strengthen an organization’s ability to satisfy this important PCI DSS requirement. When selecting APM solutions, be sure to select products that offer feature sets that satisfy PCI DSS compliance. For example, look for products that allow each user to have distinct logon identification and offer post-event forensic analysis and data-at-rest encryption. This will help ensure that your APM solution protects cardholder data while remaining in full compliance with PCI DSS requirements.

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.