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Visibility is Security

Keith Bromley

While security experts may disagree on exactly how to secure a network, one thing they all agree on is that you cannot defend against what you cannot see. In other words, network visibility IS network security.

Visibility needs to be the starting the point. After that, you can implement whatever appliances, processes, and configurations you need to finish off the security architecture. By adopting this strategy, IT will acquire an even better insight and understanding of the network and application performance to maximize security defenses and breach remediation.

One easy way to gain this insight is to implement a visibility architecture that utilizes application intelligence. This type of architecture delivers the critical intelligence needed to boost network security protection and create more efficiencies.

For instance, early detection of breaches using application data reduces the loss of personally identifiable information (PII) and reduces breach costs. Specifically, application level information can be used to expose indicators of compromise, provide geolocation of attack vectors, and combat secure sockets layer (SSL) encrypted threats.

You might be asking, what is a visibility architecture?

A visibility architecture is nothing more than an end-to-end infrastructure which enables physical and virtual network, application, and security visibility. This includes taps, bypass switches, packet brokers, security and monitoring tools, and application-level solutions.

Let's look at a couple use cases to see the real benefits.

Use Case #1 – Application filtering for security and monitoring tools

A core benefit of application intelligence is the ability to use application data filtering to improve security and monitoring tool efficiencies. Delivering the right information is critical because as we all know, garbage in results in garbage out.

For instance, by screening application data before it is sent to an intrusion detection system (IDS), information that typically does not require screening (e.g. voice and video) can be routed downstream and bypass IDS inspection. Eliminating inspection of this low-risk data can make your IDS solution up to 35% more efficient.

Use Case #2 – Exposing Indicators of Compromise (IOC)

The main purpose of investigating indicators of compromise for security attacks is so that you can discover and remediate breaches faster. Security breaches almost always leave behind some indication of the intrusion, whether it is malware, suspicious activity, some sign of other exploit, or the IP addresses of the malware controller.

Despite this, according to the 2016 Verizon Data Breach Investigation Report, most victimized companies don't discover security breaches themselves. Approximately 75% have to be informed by law enforcement and 3rd parties (customers, suppliers, business partners, etc.) that they have been breached. In other words, the company had no idea the breach had happened.

To make matters worse, the average time for the breach detection was 168 days, according to the 2016 Trustwave Global Security Report.

To thwart these security attacks, you need the ability to detect application signatures and monitor your network so that you know what is, and what is not, happening on your network. This allows you to see rogue applications running on your network along with visible footprints that hackers leave as they travel through your systems and networks. The key is to look at a macroscopic, or application view, of the network for IOC.

For instance, suppose there is a foreign actor in Eastern Europe (or other area of the world) that has gained access to your network. Using application data and geo-location information, you would easily be able to see that someone in Eastern Europe is transferring files off of the network from an FTP server in Dallas, Texas back to an address in Eastern Europe. Is this an issue? It depends upon whether you have authorized users in that location or not. If not, it's probably a problem.

Due to application intelligence, you now know that the activity is happening. The rest is up to you to decide if this is an indicator of compromise for your network or not.

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Visibility is Security

Keith Bromley

While security experts may disagree on exactly how to secure a network, one thing they all agree on is that you cannot defend against what you cannot see. In other words, network visibility IS network security.

Visibility needs to be the starting the point. After that, you can implement whatever appliances, processes, and configurations you need to finish off the security architecture. By adopting this strategy, IT will acquire an even better insight and understanding of the network and application performance to maximize security defenses and breach remediation.

One easy way to gain this insight is to implement a visibility architecture that utilizes application intelligence. This type of architecture delivers the critical intelligence needed to boost network security protection and create more efficiencies.

For instance, early detection of breaches using application data reduces the loss of personally identifiable information (PII) and reduces breach costs. Specifically, application level information can be used to expose indicators of compromise, provide geolocation of attack vectors, and combat secure sockets layer (SSL) encrypted threats.

You might be asking, what is a visibility architecture?

A visibility architecture is nothing more than an end-to-end infrastructure which enables physical and virtual network, application, and security visibility. This includes taps, bypass switches, packet brokers, security and monitoring tools, and application-level solutions.

Let's look at a couple use cases to see the real benefits.

Use Case #1 – Application filtering for security and monitoring tools

A core benefit of application intelligence is the ability to use application data filtering to improve security and monitoring tool efficiencies. Delivering the right information is critical because as we all know, garbage in results in garbage out.

For instance, by screening application data before it is sent to an intrusion detection system (IDS), information that typically does not require screening (e.g. voice and video) can be routed downstream and bypass IDS inspection. Eliminating inspection of this low-risk data can make your IDS solution up to 35% more efficient.

Use Case #2 – Exposing Indicators of Compromise (IOC)

The main purpose of investigating indicators of compromise for security attacks is so that you can discover and remediate breaches faster. Security breaches almost always leave behind some indication of the intrusion, whether it is malware, suspicious activity, some sign of other exploit, or the IP addresses of the malware controller.

Despite this, according to the 2016 Verizon Data Breach Investigation Report, most victimized companies don't discover security breaches themselves. Approximately 75% have to be informed by law enforcement and 3rd parties (customers, suppliers, business partners, etc.) that they have been breached. In other words, the company had no idea the breach had happened.

To make matters worse, the average time for the breach detection was 168 days, according to the 2016 Trustwave Global Security Report.

To thwart these security attacks, you need the ability to detect application signatures and monitor your network so that you know what is, and what is not, happening on your network. This allows you to see rogue applications running on your network along with visible footprints that hackers leave as they travel through your systems and networks. The key is to look at a macroscopic, or application view, of the network for IOC.

For instance, suppose there is a foreign actor in Eastern Europe (or other area of the world) that has gained access to your network. Using application data and geo-location information, you would easily be able to see that someone in Eastern Europe is transferring files off of the network from an FTP server in Dallas, Texas back to an address in Eastern Europe. Is this an issue? It depends upon whether you have authorized users in that location or not. If not, it's probably a problem.

Due to application intelligence, you now know that the activity is happening. The rest is up to you to decide if this is an indicator of compromise for your network or not.

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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 ...