How AI is Transforming Cybersecurity

Technological advancements have led to the rapid integration of artificial intelligence (AI) into business operations. It’s estimated that approximately 15% of organizations globally have adopted this technology to improve service delivery while minimizing operational costs.

With the consistent growth of AI technology, cybercriminals are devising new techniques to circumvent the benefits of the use of machine learning technology. A report published by Cybersecurity Ventures projects that the cybercrime activities will cost organizations up to $ 6 trillion by 2021 up from $ 5 trillion in 2015.

Cybersecurity - artistic concept. Image credit: TheDigitalArtist via Pixabay (Pixabay licence)Cybersecurity - artistic concept. Image credit: TheDigitalArtist via Pixabay (Pixabay licence)

Cybersecurity – artistic concept. Image credit: TheDigitalArtist via Pixabay (Pixabay licence)

As such, you should regularly update the AI and machine learning technology to ensure that your computer systems detect cybercrime threats before they cause harm. This article elaborates the use of AI to transform your cybersecurity strategies.

What is Cybersecurity?

Cybersecurity involves the protection of all your networks, programs, and devices from the activities of cybercriminals. To achieve this, you’re required to generate a robust security system that cannot be compromised.

With an increase in technological inventions, cyber-attacks are becoming more sophisticated with the criminals targeting governments and organizations. The conventional techniques used include data breaches, attacks on Internet of Things (IoT), ransomware, phishing, and crypto jacking.

To avert this, you should ensure that you integrate the ever-growing artificial intelligence and machine learning technologies to boost your attempt in protecting your data.

The Link between Cybersecurity and AI

Artificial Intelligence has been used to detect cyber threats early enough to allow the affected organization to plan on the mitigation processes. One of the commonly used AI techniques is Machine Learning (ML), which involves equipping computers to detect and block cybersecurity threats.

If well-coded, the ML has the potential to eliminate numerous threats that would otherwise cost millions of dollars to the company. However, the cybercrime activities are always evolving, and it’s necessary that you regularly update your system to ensure the efficiency of AI in offering top-notch security.

How AI Works In Protecting Your Data

AI is a set of machines that have been wired to detect cases of cybercriminal activities. In most cases, the system is past-centric since it’s only configured to detect known threats. For example, an institution can learn from the experiences of a previous victim and set their systems to block the avenue that the cybercriminals used when implementing the attacks.

However, recent advancements in the AI allows the configuration of more autonomous systems that uses machine learning technology. The systems learn independently without relying on human beings, thus expanding the scope of threat detection beyond what’s familiar to human beings.

The traditional systems checked prior-fed data such as signatures, entry codes, identity numbers, and any other exclusion and inclusion criteria. With the current improvement, the ML algorithms are superb in identifying anomalies in any pattern. The system develops the standard routine and will henceforth reject anything that deviates the set standards.

Better still, the algorithms can be modified to integrate supervised commands. This way, the AI can classify the threat. It’ll indicate whether it’s a malware, ransomware, or any other type of a threat immediately after it blocks it. This will help your organization to establish a comprehensive report that’s necessary for determining the cybersecurity status.

Benefits of Using AI in Cybersecurity

– Uses Biometric Logins. The use of biometrics ensures that only authorized persons access your private data. You can combine this with strong passwords to further complicate any attempt of unauthorized access.

– Detects Threats Real-Time. AI is the only technology that detects malicious activities real-time. Even better, the system is multi-functional! Besides the detection, it’ll block attempts to access the data and give real-time reports of the suspicious account activities.

– Uses Natural Language Processing System. AI allows you to collect data from different sources, including articles, studies, and other printed materials. This feature ensures that you obtain scanned data to keep you updated with the emerging trends and development in security matters. If you utilize the information adequately, you’ll get crucial insights on cyber-attacks, data access anomalies, and the current mitigation strategies. Also, you can use this information to ensure compliance with regulatory bodies by preventing most security risks.

– Allows Conditional Access. If you want to use a code to allow access to specific data, then AI will give you that option. This provides an ideal authentication process to ensure that only authorized individuals access the data. Also, it applies the multi-factor authentication process to allow you to collect the data of all the people that log into the system. This gives you the chance to analyze the behavior of a user, device, location, data, or network. If there’s anything unusual, the system will automatically deny access either permanently or temporarily.

The use of artificial intelligence is a sure way of enhancing cybersecurity. However, the rapid technological developments in the AI and ML technology requires that you regularly update your systems to maintain efficiency.


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