With the recent surge in cyber threats and attacks, the demand for smart cybersecurity has increased many times. Smart cybersecurity is the only way out to deal with potential cybercriminals who manage to sneak into the systems and networks due to loopholes. It has become common to attack sensitive users’ data with ransomware, malware, and phishing. With time, cybercriminals are enhancing their capacities and improving their tactics to attack data and get hold of financial transactions. For instance, digital currency makes cybercriminals financially stronger than ever before as they don’t have to rely on physical cash to attack any secure system. Moreover, their attacks have become more systematic and well planned due to collaborative efforts.

Despite the hurdles and shortcomings, smart cybersecurity is making a wave in securing consumer data and improving the quality of information flow. A myriad of continuously expanding and improving technologies can help navigate the increasingly disruptive and malicious landscape of cyber threats.

The importance and burgeoning nature of the cybersecurity field and the shortage of cybersecurity manpower paves the way for the increased demand for cybersecurity experts. These experts have a strong grip over technical knowledge and relevant education background such as a master’s degree in Cybersecurity to deal with modern-day cyber threats tactfully.

Here are the five evolving technology areas of smart cybersecurity that are helping to upgrade the infrastructure.

Artificial intelligence (AI) and Machine Language (MI)

“Technology that appears to copy human performance by learning, coming to reach conclusions, understanding complex content, engaging in natural conversation with people, increasing human cognitive performance or replacing manpower due to non-routine tasks is termed as artificial intelligence (AI).”

What makes AI so powerful? The most important aspect of AI is the ability to track changes through big data. Algorithms can identify several indicators of suspicious behavior in the data and can help in controlling possible threats. This process is termed threat hunting used to account for 90% of threat prediction.

Machine learning (MI) is a part of artificial intelligence. It refers to the power of machines to use statistical data and algorithms to draw meaningful results from data patterns. At present, with the help of machine learning, it has become easier to detect complex issues, including suspicious activities, anomalies, or unusual behavior, at a faster pace than humans could identify. It has been constantly used to control eCommerce fraud such as spammed reviews and identity thefts.

The role of AI and ML is undeniable in cybersecurity, especially in terms of threat intelligence. These technologies can help detect and monitor unusual patterns and threats in the system. In addition, they provide information regarding the nature of attacks and potential failures and risks of networks.

Automated and Adaptive Networks

With automation, smart cybersecurity can scan and monitor networks overall and can update about anomalies and deviations in real-time. Moreover, it also enables automatic up-gradation of safety layers, including network, endpoint, firewalls, payload, and antivirus.

Both AI and ML can act as the core components of automated and adaptive networks. These technologies can contribute towards robotic process automation (RPA), making it easier to develop, deploy and create software robots. They can perform complex functions, including transactions and clerical processes.

Supercomputing

Supercomputing has a promising future in the area of smart cybersecurity. According to an IT expert, “An accurate model of normal background network traffic can greatly enhance the chances of detection of cyber threats,” Analysts can detect the anomalies more readily by comparing the internet traffic data with these normal models.

Smart cybersecurity plays a big role in tracking, filtering, counteracting, and restoring cyber-threats. By employing expanding digital tools, enterprises have become adaptable to meet future challenges readily.

What makes supercomputers different from other commonly used computers? The most important benefit of the supercomputer is it can sift through huge piles of data in seconds and seamlessly identify irregular relationships in one go. It saves data security analysts from spending valuable time examining and running simulations of threats and events.

Internet of Things (IoT)

The Internet of Things (IoT) is a common device these days that gives easy and ready access to shared functionality due to the integration of technology and sensors. Increased connectivity of devices led to the growth of cybersecurity threats. Smart cybersecurity contributes to developing web applications that are secure and lack weak links.

SAML and the Cloud Network

Security Assertion Markup Language (SAML) is a standard format of data used to exchange authorized and authenticated data between different parties.

With cloud networks, companies can securely incorporate, transfer, and store data from remote locations. By integrating cloud systems with single sign-on (SSO), intrusion detection, and encryption technologies, a security system alerts companies of unexpected or failed logins into the systems. Smart cybersecurity ultimately comes into action to control threats immediately by removing sensitive data.

Final Thoughts

Smart cybersecurity is a rapidly evolving field, and it has become crucial for cybersecurity experts and analysts to become updated with relevant knowledge and valuable skills. In this way, they don’t only resolve the upcoming challenges of cybersecurity but also predict patterns in the nature of cybersecurity attacks. The more informed and skillful cybersecurity experts are the only solution to keep safe consumers and businesses from cybercriminals and terrorists who are continuously rising with time.