Plan Now for The Future of Network Security


Overview

Almost overnight, driven by the global pandemic, the distributed workforce is upon us. Only a fraction of companies is truly prepared. As organizations continually stack new SaaS applications and remote collaboration tools on top of their network, obtaining visibility over who is accessing it (and what they are accessing, where, and how) requires a hefty investment of manpower and time. Under these conditions, gaps appear more frequently and expose more deeply than ever before. The result of a more proactive and scalable approach to lower the risk will set companies on a path – one that many have never imagined they would need to take in such short order.

Cybersecurity has become a primary concern for modern businesses. With an increasing number of employees working remotely and using personal devices, business data and information networks have become more vulnerable than ever to cyber-attacks.  Moreover, cyber-attacks have grown in sophistication and complexity with hackers increasingly employing advanced technologies that not only override outdated protocols but also hold renewed capabilities that leave a lasting impact on its victims.

New Developments of Cyber-Attack

A new form of cyber-attack recently discovered is Island Hopping. Similar to the traditional classic case of a Phishing attack, where a hacker would gain access to a user’s data via email, by masquerading as a trusted entity. In this new case of Island hopping, the hacker gains access to a victim’s email account and masquerades a confidant with whom the victim has previously performed monitory transactions. The hacker merely changes the latter’s banking and wire transfer directives re-routing and further transactions conducted through this channel. The hoax used here is to attack the initial victim to attack another, shieling traces of a cyber-attack.  

Another new cyber-attack development known as Deepfake has also come to light AI. A cyber-attack launched using artificial intelligence to create synthetic media is a Deepfake. The algorithm allows the hacker to replace, a person in an existing image or video with another individual’s features. Two competing AI algorithms; generator and discriminator, create Deepfake content. The discriminator’s role is to identify features of the forged content, and the role of the generator is to take that information to modify the Deepfake into the desired outcome. One such Deepfake tech conspiracy was reported in 2019 where David Beckham appeared speaking in nine different languages in a ‘Malaria No More’ video campaigning. This technology should give viewers pause whenever viewing content that challenges or conflicts with other well-respected information sources.

Cyberthreats are looming, consistently challenging and threatening the operating environment of businesses today. How can your business keep pace with means to counterattack modern cyber threats? The primary source of enacting an effective network security system is to invest in technological advances.  

AI Machine Learning Security 

A necessary step required to counterattack modern security threats is machine learning security. This technology is a subset of artificial intelligence. Moreover, It is an application developed to analyze or learn and “teach” a machine to improve automatically by itself by tracing past experiences without human interventions. The traditional approach of machine learning is to identify the text as keywords. But the modern development coupled with AI leverages semantic analysis, which is similar to the human brain’s function to comprehend text. Overall, The prime goal of this adaptation is to outride human capabilities which is essential to defeating modern high-tech cyber-attacks. Therefore, Businesses have increasingly embraced machine learning to technology to build their defenses against future cyber-attacks. 

Deep Learning 

Deep learning, also known as deep structured learning, is a complete form of machine learning where algorithms extract data from raw input, using multiple layers of data. Lower layers may identify necessary information, while higher levels may identify more complicated features, such as numerals and facial features. This technology is used in verification processes such as image recognition, detecting fraudulent transactions, and customer churn studies, to name a few. 

Automation 

Most cybercrimes are automated. Therefore, counter attacking automated cyber-attacks manually is a cumbersome process. Therefore, incorporating automation into your business cybersecurity system will serve the eye to eye justice against the most-effective defense against automated cyber-attacks. Automation could be implemented in ways such as correlating data, to generate a mechanism to outride the cyber-attacks and their attack processing speed and to detect existing infections. This approach is vital, enabling a network to quickly detect threats and take measures to prevent, thwart or curb cyberattacks. So, without such measures, cyberattacks would go undetected for months, allowing hackers time to extract all sensitive information and data.

How We Can Help Your Business

We, at CSG Technologies, specialize in monitoring and providing the best solutions for your company’s cybersecurity needs. We help companies assess their cyber-security vulnerabilities, close the gaps in their networks and drastically reduce their cyber-security risks. Our teams provide a full 24/7 managed service and take the weight of ensuring your business’ cybersecurity off your shoulders so that you could focus on your business goals. Contact us for more assistance today!  

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Matt Parks

Matt Parks

About the Author: President & CEO, Matt has over 20 years building and leading high functioning teams
delivering exceptional results