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The PADS Framework for Compliance and Security - Part 2

Gabriel Lowy

Start with The PADS Framework for Compliance and Security - Part 1

Below we highlight new regulations in the global securities industry that underscore the risks companies face when they don’t have a good handle on user experience or application performance across the application delivery chain.

Capital Markets: Pressure to Avoid Market Disruption

Global securities markets have become increasingly reliant on technology and automated systems that operate at light speed. But in recent years, these systems have suffered both minor glitches and major outages. They have also been susceptible to cyberattacks, further underscoring their vulnerability.

To ensure the integrity and resilience of IT systems and reduce the severity and frequency of these disruptions, the Securities and Exchange Commission (SEC) adopted Regulation Systems Compliance and Integrity (Regulation SCI) in November 2015. The regulation applies to so-called SCI entities, including national securities exchanges, certain high-volume alternative trading systems, clearing agencies, plan processors and self-regulatory agencies such as the Financial Industry Regulatory Authority (FINRA) and the Municipal Securities Rulemaking Board (MSRB).

Covered entities must design, develop, test, maintain and monitor their operational systems according to Regulation SCI's standards and best practices. These policies apply to nine IT and security domains:


Source: SEC, Tech-Tonics Advisors

Regulation SCI requires new reporting and disclosure of disruptions, intrusions and other adverse events – with special emphasis on customer personal information. There are also new requirements to notify affected customers and plan participants if the events are "major" or involve "critical SCI systems."

Covered entities must perform ongoing audits and risk assessments. This includes evaluating IT governance services performed by specific entities. Material changes to any “SCI system” – whether existing or planned – must be reported on a quarterly basis. If any covered entity does not implement compliant controls or neglects to report failures to the SEC they could be subject to legal action.

Beyond testing requirements built into business continuity and disaster recovery standards, Regulation SCI also mandates industry-wide coordinated testing to ensure systems-wide functionality and safety. While testing has already begun, the industry has until November 2016 to get processes in place.

Market disruptions have resulted in extreme volatility, fractured investor confidence, catastrophic losses and unprecedented fines for compliance violations. Intelligence across the entire application delivery chain is essential for all covered entities to comply with Regulation SCI.

Conclusion

In the software-defined economy application performance and user experience are critical differentiators to drive business and risk management objectives. The risks of poor application performance and user experience include business interruption, eroding employee engagement and customer satisfaction, regulatory noncompliance and reputational damage.

The underbelly of modern distributed computing environments is growing regulatory oversight pertaining to systems efficacy and security. While regulations are nuanced to specific industries, the connectivity and interdependencies of systems are similar across all sectors. Regulators are increasingly focused on these relationships – and the underlying systems and applications – that comprise application delivery chains.

More companies are incorporating cloud, mobile and social into computing architectures, business plans and processes. With the growth of containers and microservices, coupled with the emerging Internet of Things (IoT), it is imperative for IT teams and senior management to embrace the strategic importance of user experience and application performance to achieve ROI and risk management objectives.

Hot Topics

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

The PADS Framework for Compliance and Security - Part 2

Gabriel Lowy

Start with The PADS Framework for Compliance and Security - Part 1

Below we highlight new regulations in the global securities industry that underscore the risks companies face when they don’t have a good handle on user experience or application performance across the application delivery chain.

Capital Markets: Pressure to Avoid Market Disruption

Global securities markets have become increasingly reliant on technology and automated systems that operate at light speed. But in recent years, these systems have suffered both minor glitches and major outages. They have also been susceptible to cyberattacks, further underscoring their vulnerability.

To ensure the integrity and resilience of IT systems and reduce the severity and frequency of these disruptions, the Securities and Exchange Commission (SEC) adopted Regulation Systems Compliance and Integrity (Regulation SCI) in November 2015. The regulation applies to so-called SCI entities, including national securities exchanges, certain high-volume alternative trading systems, clearing agencies, plan processors and self-regulatory agencies such as the Financial Industry Regulatory Authority (FINRA) and the Municipal Securities Rulemaking Board (MSRB).

Covered entities must design, develop, test, maintain and monitor their operational systems according to Regulation SCI's standards and best practices. These policies apply to nine IT and security domains:


Source: SEC, Tech-Tonics Advisors

Regulation SCI requires new reporting and disclosure of disruptions, intrusions and other adverse events – with special emphasis on customer personal information. There are also new requirements to notify affected customers and plan participants if the events are "major" or involve "critical SCI systems."

Covered entities must perform ongoing audits and risk assessments. This includes evaluating IT governance services performed by specific entities. Material changes to any “SCI system” – whether existing or planned – must be reported on a quarterly basis. If any covered entity does not implement compliant controls or neglects to report failures to the SEC they could be subject to legal action.

Beyond testing requirements built into business continuity and disaster recovery standards, Regulation SCI also mandates industry-wide coordinated testing to ensure systems-wide functionality and safety. While testing has already begun, the industry has until November 2016 to get processes in place.

Market disruptions have resulted in extreme volatility, fractured investor confidence, catastrophic losses and unprecedented fines for compliance violations. Intelligence across the entire application delivery chain is essential for all covered entities to comply with Regulation SCI.

Conclusion

In the software-defined economy application performance and user experience are critical differentiators to drive business and risk management objectives. The risks of poor application performance and user experience include business interruption, eroding employee engagement and customer satisfaction, regulatory noncompliance and reputational damage.

The underbelly of modern distributed computing environments is growing regulatory oversight pertaining to systems efficacy and security. While regulations are nuanced to specific industries, the connectivity and interdependencies of systems are similar across all sectors. Regulators are increasingly focused on these relationships – and the underlying systems and applications – that comprise application delivery chains.

More companies are incorporating cloud, mobile and social into computing architectures, business plans and processes. With the growth of containers and microservices, coupled with the emerging Internet of Things (IoT), it is imperative for IT teams and senior management to embrace the strategic importance of user experience and application performance to achieve ROI and risk management objectives.

Hot Topics

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...