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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.

The Latest

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...