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What is the Benefit of Network Visibility for Compliance?

Keith Bromley

While regulatory compliance is an important activity for medium to large businesses, easy and cost-effective solutions can be difficult to find. Network visibility is an often overlooked, but critically important, activity that can help lower costs and make life easier for IT personnel that are responsible for these regulatory compliance solutions.

Devices like network packet brokers (NPBs) allow you to mask sensitive data, perform packet slicing, implement lawful intercept, and discover rogue IT. Purpose-built compliance solutions can also use data filtered by NPBs to perform activities better, and also allow IT to demonstrate their regulatory compliance in an easy manner.

Here are some example use cases of what you can accomplish when a visibility architecture is combined with performance monitoring tools. An initial activity would be to integrate an NPB with your regulatory compliance strategy.

This will allow you to:

■ Provide masking of sensitive data. This includes data masking for one or more digits so that security and monitoring tools downstream don’t receive clear text data.

Remove the data packet payload with packet trimming. When packet header information is all you need, packet slicing allows you to eliminate the propagation of unnecessary and dangerous data within the payload of the packet.

Perform lawful intercept of data from specified IP addresses and VLANs. This provides an easy way to capture and forward data requested by court orders and government laws (like the Turkish 5651 law that requires logging of financial data).

■ Create regular expression search strings using application intelligence to enable better searches for specific data.

In addition, there are at least two areas where NPBs can help a security architecture to:

Discover rogue IT (unauthorized applications and devices), which helps avoid policy and compliance issues. Unknown applications can be identified so that IT can ascertain how and where those applications are being used.

Enforce IT policies, like detecting off-network storage and unapproved web-based email solutions. This allows IT to identify exfiltration of data which could be a potential security/compliance risk. For instance, a former employee could have stored a file to an off-network data storage and then could retrieve after leaving the company and no one would know about it.

Data from NPBs can also be fed to purpose-built compliance solutions and logging tools to support the demonstration of regulatory and endpoint compliance to auditors. The data being fed to these tools can be either lightly filtered or filtered based upon detailed Layer 2 – 4 and/or Layer 7 parameters. It all depends upon what you need and are looking for.

In the end, any regulatory compliance strategy is only as good as the quality of data that is being fed to the tools. The most important part of your regulatory compliance plan will be the architecture, as this piece will determine what, if any, policies and procedures are being adhered to.

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What is the Benefit of Network Visibility for Compliance?

Keith Bromley

While regulatory compliance is an important activity for medium to large businesses, easy and cost-effective solutions can be difficult to find. Network visibility is an often overlooked, but critically important, activity that can help lower costs and make life easier for IT personnel that are responsible for these regulatory compliance solutions.

Devices like network packet brokers (NPBs) allow you to mask sensitive data, perform packet slicing, implement lawful intercept, and discover rogue IT. Purpose-built compliance solutions can also use data filtered by NPBs to perform activities better, and also allow IT to demonstrate their regulatory compliance in an easy manner.

Here are some example use cases of what you can accomplish when a visibility architecture is combined with performance monitoring tools. An initial activity would be to integrate an NPB with your regulatory compliance strategy.

This will allow you to:

■ Provide masking of sensitive data. This includes data masking for one or more digits so that security and monitoring tools downstream don’t receive clear text data.

Remove the data packet payload with packet trimming. When packet header information is all you need, packet slicing allows you to eliminate the propagation of unnecessary and dangerous data within the payload of the packet.

Perform lawful intercept of data from specified IP addresses and VLANs. This provides an easy way to capture and forward data requested by court orders and government laws (like the Turkish 5651 law that requires logging of financial data).

■ Create regular expression search strings using application intelligence to enable better searches for specific data.

In addition, there are at least two areas where NPBs can help a security architecture to:

Discover rogue IT (unauthorized applications and devices), which helps avoid policy and compliance issues. Unknown applications can be identified so that IT can ascertain how and where those applications are being used.

Enforce IT policies, like detecting off-network storage and unapproved web-based email solutions. This allows IT to identify exfiltration of data which could be a potential security/compliance risk. For instance, a former employee could have stored a file to an off-network data storage and then could retrieve after leaving the company and no one would know about it.

Data from NPBs can also be fed to purpose-built compliance solutions and logging tools to support the demonstration of regulatory and endpoint compliance to auditors. The data being fed to these tools can be either lightly filtered or filtered based upon detailed Layer 2 – 4 and/or Layer 7 parameters. It all depends upon what you need and are looking for.

In the end, any regulatory compliance strategy is only as good as the quality of data that is being fed to the tools. The most important part of your regulatory compliance plan will be the architecture, as this piece will determine what, if any, policies and procedures are being adhered to.

Hot Topics

The Latest

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

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 ...