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Cybersecurity Trends: 2022 and Beyond

Technological improvements in various industries have brought a cybersecurity concern for many people. Failing cybersecurity and computer threats pose a huge risk to people and businesses at large.

Cybersecurity is the practice of employing safe computing and data access methods. This helps ensure that data and networks will not be attacked. 

The impact of cybersecurity in this generation can be seen in the information security statistics. Gartner’s studies expect that the information security market will attain a value of $170.4 billion by the end of 2022. Embracing various cybersecurity methods helps to improve:

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  • Security of business information
  • Secure computing systems against malware and viruses
  • Downtime of a computer system

In 2022, there are many cybersecurity trends available for adoption by businesses or people. In this article, we highlight the available cybersecurity trends.

  1. User Awareness

The creation of awareness among users of computer systems is a huge factor that helps reduce the number of cyberattacks. Creating user awareness entails teaching users about information security as a whole.

This will help users know more about cybersecurity and learn how cyber-attacks occur. Learning how such scenarios will help users prevent cyberattacks.

A study revealed that social engineering is used in about 98% of cyberattacks. Social engineering is the use of physiological knowledge to trick or coerce computer system users into giving up their data. Sadly, the use of social engineering has evolved into many complex tricks such as phishing.

User awareness gives users knowledge of existing social engineering tricks. With this, they can learn to spot any social engineering attempts and evade the risk.

Creating user awareness can also entail teaching users about defensive computing. Defensive computing is the use of computers with knowledge of dangerous practices that can create a security vulnerability.

In industrial cybersecurity, a business has to take more robust measures to ensure its security. Combining the knowledge of defensive computing skills and the robust Industrial defender’s OT security platform will ensure that your industrial systems are well secured. 

The platform collects data such as any changes in the system. The changes can be either the software or hardware. The collected data helps ensure that the business is always aware of its systems.

  1. Machine Learning

The impact and significance of machine learning can be seen in many industries and sectors. The cybersecurity industry has not been left behind in terms of adopting machine learning to offer improvements.

Machine learning helps computing systems predict things based on collected data or information. In terms of cybersecurity, machine learning helps security systems to detect any cyberattack attempt before it happens.

Previous data are well structured and used to train machine learning models. In training, the models extract patterns or insights from data and then record them. The recorded patterns or insights are then used to analyze current data to detect any anomalies or possibility of a cyber-attack.

In the finance sector, for example, machine learning has enabled systems to identify cases of financial fraud. In the manufacturing sector, machine learning has allowed businesses to detect and stop any system changes. Thus, machine learning will be around for a while to better cybersecurity.

  1. Cloud Security

Over the years, computing systems have evolved significantly. The introduction of the cloud greatly changed conventional IT systems. Cloud brought about the availability of computing systems or data and information to users via the internet.

The availability of cloud technologies, however, brought another cybersecurity area of concern as well. Cloud security is a concern for many users of the technology. Cybersecurity professionals are always working to develop better security measures for cloud technologies to be more resilient.

A business looking to use cloud-based computing systems should be aware of the risks associated and the measures to take. However. It is important to note that the use of data encryption has improved cloud security. And we are expected to see more from it.

Machine learning is also in use for improving cloud security. Machine learning is used to develop predictive security systems. They offer security and data safety to businesses using cloud-based systems. 

  1. IoT Vulnerability
Source: Pixabay

The Internet of Things (IoT) refers to all physical devices that can connect to the internet for data exchange. The cybersecurity risk tied to IoT devices has significantly increased over the years. As more devices get connected and send data, cyberterrorists aim to gain value from this.

The vulnerability of IoT poses a great concern for users. There is a new wave of IoT attacks targeted at internet routers and switches. These devices are targeted because they control all data transfer in a home, business facility, etc.

The IoT attacks on routers have triggered the revolution of Wi-Fi networks to improve their security and prevent attacks. There are several safety measures that one can take to reduce the possibility of an attack on their router or network. These measures are:

  • Changing the default router administrator password immediately it starts being used
  • Creation of guest Wi-Fi networks at home or in offices. The guest Wi-Fi network is dedicated for use by unsecured IoT devices. 
  • Use of WPA2 encrypted networks rather than open networks.

IoT vulnerability is a cybersecurity concern for both professionals and users at large. The users should practice defensive computing as the first step towards gaining cyber security.

  1. Multi-Factor Authentication

Multi-factor authentication methods were considered the best development in terms of authentication security. A few years down the line, cyberterrorists have figured out ways to bypass this authentication security method.

With the bypassing of multi-factor authentication on the rise, Microsoft came up with a solution. Microsoft advised users to stop relying on SMS or phone calls for authentication. Microsoft recommended users use secure authentication applications. 

The use of authentication applications has shown a significant improvement over the use of phone calls and SMS. 

Conclusion

It is vital to note that cybersecurity is a constantly evolving field. A cybersecurity method can be useful today, and tomorrow it ends up useless. Therefore, it is important for people to stay aware of the current cybersecurity trends. This will help them to mitigate cyberattacks. 

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