Reasons To Introduce AI Based Cyber Security System to Your E-Commerce Website


With the progress in technology and internet penetration amongst the masses, Ecommerce business models have become quickly successfulOpens in a new tab. driven through innovation and customer demands. However, with the prominence of the e-commerce industry quickly taking over consumers worldwide, the threat of cyber-attacks also looms in the corner.

Due to tons of customer information being stored online, e-commerce platforms are jackpots for anyone with malicious intent.

Nevertheless, in recent times AI (artificial intelligence) has also quickly started to dominate the cybersecurity scene. According to a recent studyOpens in a new tab. published by Forbes, nearly 51% of all enterprises worldwide depend on AI-powered cybersecurity programs to detect possible threats.

Furthermore, 69% of all senior executives believe that their organizations would be unable to respond to cyberattacks without AI.

In light of this information, let us take a quick look at some of the ways AI cybersecurity systems can benefitOpens in a new tab. your E-commerce websites. 

1. Advanced Tools

One needs to understand that despite technological advances in cybersecurity systems, there are still many obstacles the sector is currently facing. These include manual tracking of multiple devices located at geographically diverse and remote placesOpens in a new tab.. Not only is it expensive but also time-consuming.

Furthermore, predicting threats before they take a toll on IT systems is also an immense challenge. All of these hurdles can be bypassed with the potential capabilities of AI and when machine learning is introduced into the cybersecurity system.

AI cannot only handle heap loads of data but also learn algorithms, recognize them, differentiate between them, and even predict changes within them.

An e-commerce store means that their IT team will be able to deploy protection for volatile information through a living and breathing program that grows stronger and more competent with the passage of time.

Example:

One of the best examples that I came across was that of a Seattle, Washington based Versive, which is a software company that excels in providing business with cybersecurity measures.

Their Versive Security Engine (VSE) utilizes AI to identify chains of activities and separates critical risks from routine network activity of businesses and organizations. This helps online ventures and their security teams to ward off possible attacks before they actually happen.

2. Better Utilization of Time

Having worked for an e-commerce store previously, I can totally understand the wide range of activities and the tremendous amount of workload each department and their teams have to perform to keep the store running at full capacity.

There are tons of QA, the content is working tirelessly to produce content, and the people in the product listing are not only uploading new products on the store, but they have to cross-check for various categories of product lines as well. It can get pretty messy real quick, and everyone is simply running out of time. No wonder managing 200 unique brands on a single store are no joke at all.

The same goes for the IT and the security teams, which is why AI induced cybersecurity systems, will greatly augment their performance. They will actually have more time on their hands to focus on more complex processes and leave the mundane chores to AI to manage.

Example:

Cybereason, a company based in Boston, Massachusetts, does exactly this by offering a cybersecurity analytics platform that can automate threat hunting monitoring and analysis for online businesses through its AI-powered technology.  

3. Comprehensive Research & Insights

The fact that e-commerce businesses are deploying AI cybersecurity to save guard themselves from the imminent threat of cyber-attacks actually paves the way for an incredible amount of learning for businesses as a whole.

This is because while machine learning is deployed to figure patterns and risks of being attacked at the same time, cybersecurity service providers can analyze assimilated data to unlock doors for further potentials and opportunities to improve their systems and make them more robust.

AI is indeed a powerful tool, and in the right hands, it is potent enough to shine a light on various aspects of security that may not have sparked a remarkable amount of interest at first. Hence e-commerce stores can develop their own research based on the information collected by cybersecurity systems to improve their own infrastructure and find out more insights regarding loopholes within their systems.

Example:

Tessian is a London based software company that offers machine learning attributes to prevent data loss from harmful emails. The Tessian’s AI security platform offers a real-time dashboard for organizations so that their security teams can instantly cross-check and keep up with the overall health of their infrastructure.  

4. Enhanced Deployment of Resources

Deploying cybersecurity measures by no means is a walk in the park as there are tons of resources that have to be properly aligned and enabled to work in a cohesive manner in order to create a stout and tough system that can ward off threats.

Since things can get pretty intense, especially when a system is under an attack from a cyber-criminal entity or group. This is where AI can jump in to facilitate recovery and manage the disruptions to give security teams the edge to get things back in order, and possibly prevent any loss or damages from occurring and harming the system.

This naturally gives them the ability to distribute the amount of work to be done and the effort required to ensure that every individual team member is protected from the cybercriminal’s malicious intent.

For an e-commerce store, this can work out very well as they have tons of information stored into their database that needs immediate support and protection before they fall into the wrong hands.

Example: 

White Ops is a New York-based cybersecurity company that implements AI to connect millions of points to identify the presence of bot traffic and automatically block them before they can penetrate the system. This allows them to save the financial transactions of businesses operating online and ensure that their back-end infrastructure stays intact. 

5. Improved Cyber Security

With a constant battle between attackers and defenders going on for quite some time now, the induction of AI and machine learning is probably the best step forward. Machine learning is quickly able to resolve tough and challenging situations due to the fact that it can draw upon previously collected information.

This allows the system to examine the code and block the attack based on previously held threat analysis. Therefore, if the new virus is entirely new or a variant of an old virus that has been tweaked, your systems will still have AI and machine learning to provide your cybersecurity systems with an incredible boost.

Furthermore, AI-empowered systems can also be used to track employee activities as well, which can lead to possible threats to the infrastructure.

For an e-commerce business, this can come especially hand as a lot of employees are provided credentials to operate on portals that provide them limited access to the website features and functions. This can help detect activities that are not authorized or need further inspection to stay safe from further harm.

Example:

Based in the Municipality of Colorado, TRuU, a company headquartered in Boulder City, offers an identification platform that monitors and analyses transactions between the digital and physical world for businesses. It can determine security risks by collecting data through a mixture of biometrics, behaviors, and interactions to alert security teams with any suspicious activity that doesn’t fit the bill of a trusted user profile.        

6. Harnessing the Power of Neural Networks

An artificial neural network is a computing system that is vaguely inspired by the biological neural networks found in complex living beings. The ANN comprises various nodes or units connected through a series of algorithms that help them work in cohesion under a recognized relationship or pathway.

Many e-commerce businesses out there adopt neural networks to optimize their marketing strategies as it enables them to process mass information related to business, such as customer data and shipping information, to name a few. However, the immense amount of data that they withhold also makes them the prime targets of cybercriminals and cyber-criminal activities.

Through AI, deep learning possibilities are achieved for neural networks where countless data, its detection, recognition, and making informed decisions can be made conceivable. Hence e-commerce businesses can use AI to draw unstructured and unlabeled data without the need for human supervision.

Example:   

Google’s parent company Alphabet has a separate project named Waymo that is driven with the passion for bringing self-driving technology for the masses. With the acquisition of DeepMind, a computer programs company based in the UK, Google has cemented the fact that it is fairly committed to harnessing the power deep learning technology.

Other companies showcasing similar ambitions include the likes of Facebook, Baidu, and IBM, to name a few.

7. Machine Learning Empowerment

Ecommerce businesses are indeed making use of machine learning today to derive various benefits to make their systems achieve higher levels of self-efficacies. Through machine learning, e-commerce stores can implement customer segmentation, personalize their services, and perform targeted campaigns.

ML also paves the way from staying safe online as it provides commendable protection against fraud by scooping deceitful activities and detecting anomalies on the go at impressive speeds. Online businesses can deploy machine learning to boost their Omnichannel marketing, manage supply and demand through substantial forecasting, and deliver terrific customer support.

Plus, ML can also reveal various search patterns of users and their preferences to enable businesses to achieve optimized results and make the best use of keywords.

Example:

Absolute is a company that offers uncompromised visibility and near real-time remediation for security breaches. They have quickly become the industry benchmark with their global presence exceeding more than 500 million devices manufactured by some of the world’s best device manufacturers.

The company offers more than 12,000 customers with self-healing endpoint security. It is regarded as one of the top 10 cybersecurity companies to watch in 2020 and beyond, according to Forbes Magazine.

8. Next-Generation Firewalls

In computing technology, firewalls are network security systems that control and monitor incoming as well as outgoing network traffic. For an e-commerce store, this part of daily routine and monthly analysis showcase that even in off-seasons, hundreds and thousands of users online visit e-commerce stores, which goes to show just how much traffic online stores can generate.

AI can boost firewalls and their performance by simply expanding on the general complexity of networks and making them more sophisticated. Plus, with machine learning, these firewalls can become even more astounding by self-improving on day by day basis. This will also allow firewalls to withstand an increasing number of attacks both from within and outside sources.

Example:

A cybersecurity company by the name of FORTINET and based in Sunnyvale, California, offers online businesses and a majority of Fortune 500 companies with web application security through its AI-based product.

The web application the company offers is indeed a firewall that uses machine learning along with twin layers of statistical probabilities to discover threats accurately. 

9. Predictability of Cyber Attacks

So far, you must now be pretty much aware of just how much of risk is imposed for e-commerce websites and why cybercriminal activities often target them. As a quick note, I would like to mention that the inclusion of AI in cybersecurity for online businesses plays an important role by reducing response time reduction, threat detection, and recognition of patterns.

Through AI, cyber-attacks can be predicted through the use of Big Data and its analytics to determine when a cyber-attack will occur.

Example:

An application security company headquartered in Geneva, Switzerland, ImmuniWeb provides security testing services for businesses through its AI and machine learning platform. Together with human intelligence, the company can deploy multiple AI-based products to detect risks and vulnerabilities within applications and open-source software as well as other programs used by e-commerce stores.        

10. Several Layers of Security

AI can be used to deliver and develop a multilayered security systemOpens in a new tab. for e-commerce businesses. Through AI and ML, businesses can acquire greater computing power to accomplish image recognition, voice recognition, and natural language processing.

However, Huawei, one of the leading Chinese multinational technology companies, recently identified that existing security technologies worldwide are still impaired with inherent limitations.

This makes them unable to cope with the latest AI security challenges, including targeted defense mechanism for known attacks, model security systems, and architecting different security mechanisms that utilize AI to ensure business security. This is why the tech giant proposes that businesses utilize at least three-layered security defense systems.

Example:

Netflix takes the prime spot with its adoption of VVC (Versatile Video Coding) that further expands its user experience to 360 video and virtual reality environments. However, Netflix aims at generating consistent experiences and smooth playback for customers, which can only be possible with the implementation of its multilayer perceptron neural network.     

Conclusion

With losses due to cybercrime projected to increase in the coming years, many e-commerce businesses are actively deploying cybersecurity measures to safeguard customer data and other invaluable pieces of information. So far, AI and machine learning have shown an extraordinary tendency to boost protection and keep systems safe and protected from the harms brought through cybercriminal activities.

I hope this post was able to offer you some delightful insights as to how you can use AI to augment cybersecurity systems for e-commerce websites. For more information about the topic, please feel free to share your queries in the comment section below.

Author Bio:

Samantha Kaylee currently works as an Assistant Editor at Crowd WriterOpens in a new tab.. This is where higher education students can acquire professional assistance from experts specializing in their subjects and topics. During her free time, she likes to try out her graffiti skills to create larger than life wall art.

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