Top Cyber Security Trends for 2022
Cyber security is a hot topic in the world today. With the rapid development of technology, cyber security has become more critical, and the cyber Security Market is expected to reach $345.4 billion by 2026. At the same time, it is also one of the most pressing issues of our time. With new technologies and new devices, the stakes are getting higher.
Therefore, cyber security is becoming increasingly important to businesses since a cyber attack can lead to the loss of sensitive data, financial fraud, or disruption of critical systems. On the other hand, social engineering attacks, where psychological manipulation tricks users into making security mistakes or giving away sensitive information, are also on the rise.
However, as we move forward, there will be a shift in how companies are protected against cyber attacks. As artificial intelligence and machine learning tools become more common, companies are able to detect and prevent cyber-attacks with greater ease than they would otherwise be able to.
Here are the top 5 cyber security trends of the year:
- Zero Trust Security Models
Using the zero trust model, access to the network is restricted only to those who need it. Here default access is eliminated, and access is granted to authorized users based on patterns based on identity, time, and device. Security standards, such as access control procedures and user identity verification, must now be passed to gain access.
- Cyber Security as a Service
Cyber Security as a Service (CSaaS) is a new trend in which businesses may outsource their cyber security activities to third-party companies. As businesses move their focus away from traditional IT services and toward cloud-based solutions, the need for managed security services will grow.
This would allow businesses to concentrate on their main business while outsourcing all cybersecurity activities to professionals who can better protect them from cyber threats.
- Artificial Intelligence
Artificial intelligence (AI) is being used to detect and prevent threats and detect anomalies and automate responses. The introduction of AI into every market segment has led to extraordinary changes in cybersecurity, due to a combination of AI and machine learning.
In areas such as automated security systems, natural language processing, face detection, and automatic threat detection, artificial intelligence has played a central role. It also opens up new possibilities for predicting threats and vulnerabilities in networks, systems, apps, and other systems, which may help detect the risk and hazards associated in advance.
- Cyber Security Training
According to Infosec, 97% of individuals worldwide have no idea how to spot a phishing email. As a result, human error plays a significant role in many data breaches, demonstrating the ineffectiveness of standard digital security awareness programs. Therefore, organizations are making further efforts to bolster their security as cyber-attacks become more active.
Companies are boosting their efforts in training programs to teach staff how to spot phishing emails and other cyber hazards and prevent them. In many companies, policies are being established to govern employees’ handling of sensitive corporate information.
- Cybersecurity mesh
The consolidation of security products has led to the integration of security architecture components. However, there is still a need to define uniform security policies, streamline workflows, and exchange data across consolidated solutions.
By implementing a cybersecurity mesh architecture (CSMA), all assets in data centers and the cloud can be protected by a standard, integrated security posture, and structure.
Cyber attacks will become more sophisticated and targeted. There will be more ransomware attacks, data breaches, and malware. Companies will need to invest in cyber security training for their employees and invest in new technologies to protect themselves from cyber threats.