Enriched Metadata for Comprehensive Network Security

Metadata Enrichment for Network Security

Ensuring the overall security of your networks and your clients’ networks continues to be a growing challenge. Companies are often left scrambling to manage complex network security solutions that are capable of providing sufficient protection but are often performing sub optimally due to SecOps teams not fully understanding all of the capabilities of their own security solution. At NetQuest, we can help make sure you are at least extracting the right data from your network for optimizing your network security solution. Here’s what you should know about how you can use enriched metadata to enhance network visibility and security and how to get the assistance you need with ongoing cybersecurity demands and challenges.

What Is Content-Enriched Metadata?

Content-enriched metadata takes the process of analyzing metadata for anomalies a step further. It often uses artificial intelligence or machine learning technology to add critical information to segments of metadata. Enriched metadata easily organizes and classifies information and allows you to use search refinement to weed out irrelevant results. It can also detect important information about a set of data, including application information, DNS data, personal account numbers, names, addresses, locations, organizations, and more. This information is organized in an easy-to-access way that can be sorted, refined, and manipulated in various ways to provide nearly endless ways to look at your network’s security.

What Are the Benefits for Businesses?

There are numerous benefits of content-enriched metadata for businesses, especially those with large cloud-based or hybrid networks that may not have the resources to manually investigate packet information in the event of a security breach. Some of these advantages include but aren’t limited to:

  • Enriched metadata can capture almost as much data as a packet analysis system. You don’t have to compromise the amount of quality data sampling you can otherwise obtain from rich metadata. More than 90% of critical network information is captured by extracting enriched metadata from a network, which is just shy of what a packet analysis system can do, albeit the packet analysis system uses significantly more compute resources.
  • Enriched metadata improves a company’s overall cybersecurity. When a suspected or confirmed security event occurs, your team goes into investigation mode, pulling records and data from every transaction to identify the malicious actor and what data may have been lost or compromised. Content-enriched metadata cuts down dramatically on the amount of data that must be analyzed making it easier than ever for SecOps teams to provide valuable details in real-time.
  • Content-enriched metadata can help you understand the intent and tactics of would-be hackers. To effectively fight malicious entities that would benefit from the theft of your company’s sensitive information, you need to put security in context. Enriched metadata helps your organization better understand the TTP (tactics, techniques, and procedures) of hackers that attempt to infiltrate your network and steal data. This information can then help you make decisions about additional security layers you may want to consider adding to prevent similar attacks in the future.
  • Personal Identifiable Information (PII) can be more easily extracted, removed, or protected in enriched metadata systems than blob-type data (packets, images, videos, speech) that require detailed extraction algorithms.
  • Network security solutions leveraging content-enriched metadata use only about 2 to 10% of the storage and compute resources when compared to solutions relying solely on full packet analysis. The reason is that the metadata uses a fixed number of defined fields to summary each specific network flow. In other words, you get the who, when, what, and where (the analytics figures out why) of the conversation rather than having to watch, listen and store the data for a whole conversation between two people. 

As cybersecurity threats continue to evolve, organizations must stay at the forefront of keeping their networks and sensitive data safe. Enriched metadata evolves along with threats, providing dynamic intel on how a threat operates, helping you isolate the attack and develop new security measures to eliminate ongoing threats.

How NetQuest Can Help You Deploy Content-Enriched Metadata

Migrating network security solutions from packet-based data capture systems to enriched metadata analysis can seem like an overwhelming task, especially when your team is already maxed out meeting the needs of your business and its clients. NetQuest has been providing sophisticated cybersecurity and network monitoring solutions to businesses since 1987 and can help your company tailor a customized security strategy to meet your specific industry’s needs. Contact us today to learn more about how we can help your company obtain a secure, easy-to-navigate network security solution that keeps your data as safe as possible.

What is The Future of Cybersecurity? | Trends & Emerging Technologies

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Cybersecurity is crucial for the constant evolution of the digital world. Whether you are a business owner or consumer, you must be prepared to adapt to new technologies, rules, and strategies that will help build a safer and more secure online space. Thus, the prevalence of exposed network surfaces forces us to invest in increasingly sophisticated defense systems.

It is impossible to progress in the modern digital world without strengthening your cybersecurity protocols. Data and system protection in a frequently “connected” environment is essential to ensure users, businesses, and governments’ integrity. And with the complexity of security requirements increasing for several reasons, it poses a more significant challenge to develop advanced security systems. Therefore, our continuous defense against hackers and cyber criminals should influence the future of cybersecurity with enhanced data monitoring solutions.

As per Larry Ellison, CTO of Oracle Corporation, “We need a cyber defense system that automatically detects vulnerabilities and attacks. The security flaw must be corrected before an attack occurs.”

Cloud Computing and Internet of things (IoT)

Cloud computing allows you to transfer data and other computing services (including servers, databases, software, storage, analytics, networking, and intelligence) over the internet, shared not limited to a single device but accessible from several points. For businesses and users, this represents an advantage in terms of efficiency and cost.

However, this technology allows cyber attackers to open a breach that could give them unwanted access. Anyone wishing to harness the enormous potential of cloud computing will therefore need to pay increased attention to their own security. No system is entirely immune to attack, but adopting advanced network visibility solutions dramatically reduces risk.

The same goes for the Internet of Things (IoT) or the network of interconnected devices and interfaces. It is not only smartphones and PCs involved in the network but also the hundreds of sensors and other devices.

The Importance of Cybersecurity

The accelerating cybersecurity threat is overtaking efforts from a defensive perspective.

A cyber attack is characterized by the multiplication of cyber-catastrophes, which is unlikely to occur – except for a possible escalation situation between nations or states. Although it belongs to a specific geopolitical logic, the possibility is frightening, and the outcome could be detrimental.

For example, the economic consequences of cybersecurity risks are increasingly troublesome. It seems that the acceleration of digital transformation would ultimately affect economic growth. The quality network security systems is becoming one of the most critical competitive advantages or disadvantages for companies.

There is a culture growing within cybersecurity that limits the most severe damages of cyberattacks. Companies that have successfully developed defensive solutions may even decide to commercialize them to give access to the public. This new context favors the emergence of secure cyber defense networks, including corporations, public institutions, university research centers, start-ups, private cybersecurity groups, etc.

3 Emerging Technologies Influencing Cybersecurity

Three prominent technologies are emerging due to the digital transformation that continues to highly affect required cybersecurity solutions.

Artificial Intelligence (AI) and Machine Learning

Artificial Intelligence (AI) and Machine Learning will increasingly and continuously influence the evolution of cybersecurity.

Security will invariably evolve in an ever-changing cyber environment. Instead of obeying a specific design, security should become more organic and autonomous, much like our immune system. Ongoing training and adaptation will enable systems to recognize and respond to new threats.

Cyberattack detection becomes more widespread, so IoT ecosystems will rely on AI and machine learning’s line of defense to assess data reliability. The algorithms for processing data from the network sensors will not implicitly trust a single sensor node. Instead, they will seek consensus from surrounding nodes. Machine learning algorithms can continue to evolve to improve spam and malware detection, making it possible to identify fraudulent transactions quickly.

Predictive Defense

As the attacks are becoming more sophisticated, cybercriminals are also starting to concentrate on large organizations, states, and companies. The defenses must therefore try to evolve on a more advanced level.

Predictive defense and control need to be constant. Because, even if we can’t achieve zero-risk security, detecting an attack and intervening in the shortest possible time often makes all the difference. The most crucial weapon lies in “preventive” cybersecurity, which will become “predictive” through its evolution. Defense systems will be able to analyze signals that anticipate an attack. The challenge is indeed complicated and will play out in a fight where artificial intelligence will play a key role. However, we must not forget that the original idea (both the attack and the protection system) will remain human.

Hybrid Cloud

The emergence of new hybrid cloud environments invites a new approach to cyber defense, involving machine learning and autonomous systems in the service of cybersecurity. Organizations tend to move away from traditional security strategies and turn to intelligent SOCs capable of automatically predicting, detecting, avoiding, and responding to threats.

For example, many companies are adopting new cloud environments and switching their applications to SaaS solutions to gain agility, scalability, and operational ease. Thus, new hybrid cloud environments are gradually emerging within the informational system. The abundance of these unique environments encourages us to think about a new approach to cyber defense. Forward-looking organizations are moving away from traditional security strategies and turning to innovative SOCs. These security operations centers aim to automatically predict, detect, avoid and respond to threats automatically. SOCs must also correlate vast amounts of data and extract actionable insights.

Developing A Trustworthy Society

These emerging technologies stemmed from different societal scenarios highlighting the significant factors of cybersecurity evolution. They also show the importance of interactions between multiple data security elements.

Technology in itself will not be the only answer. It must be integrated into more comprehensive defensive approach strategies. Above all, change can only materialize if, at the same time, a society of trust develops in the communities. If consumers feel that a hyperconnected community cannot ensure data protection, technological disruptions will be wiped out.


To protect individual, private, corporate, and government information systems and prevent increasingly sophisticated threats from penetrating, organizations should opt for flexible, intelligent cybersecurity technologies. Artificial intelligence (AI), machine learning algorithms, predictive defense, and hybrid cloud deployments are just a few of the industry’s emerging technologies. Furthermore, security operations centers (SOCs) must also increase current proactive security strategies to address pressing protection issues. These security measures should accelerate the future of advanced cybersecurity protocols for all users.

NetQuest provides service providers, large enterprises and government agencies scalable network visibility solutions for advanced cyber intelligence and network security applications. Visit us here to learn more about our products and services and the industries we serve.