Artificial Intelligence Applications in Cyber security

Cyber ​​security is a key part of any company. Not only companies but also governments need the highest level of cyber security to ensure that their data is private and will not be hacked or leaked to the whole world! And with the growing popularity of artificial intelligence and machine learning, these technologies are also becoming crucial in the field of cyber security. Includes machine learning and Applications of Artificial Intelligence in cyber security, including detection of cyber threats, available antivirus software capabilities, and combat cyber-crime using AI.

So let’s take a look at the top 5 applications of AI and machine learning in cyber security, which companies are safe and secure. Companies can easily do this by first implementing AI in their cyber security protocols, and then moving on to specialised AI and ML cyber security users. This can be done through the use of predictive analytics to detect threats and malicious activity, the use of natural language processing for security, the use of biometric-based login identification, and so on.

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Cyber ​​Threat Identification

Cybersecurity is a very important factor in all companies. After all, if a hacker can get into their systems, they 'Toast! The most critical aspect of cybersecurity is knowing whether the connection requests in the system are legitimate and whether any suspicious activity, such as receiving and sending large amounts of data, is the work of experts within the company or some cyber threats.

It can be very difficult for cybersecurity professionals to figure this out, especially in large companies where requests are in the thousands at all times and people are not always accurate. This is where machine learning professionals come in handy. A cyber threat detection system based on AI and ML can be used to monitor all outgoing and incoming calls as well as all requests coming into the system to monitor suspicious activity. For example, Versive is an artificial intelligence vendor that provides cybersecurity software in conjunction with AI.

Vulnerability management

AI-based vulnerability management systems are active in identifying vulnerabilities instead of waiting for the IT team to take the necessary action on them. They can analyse the pattern and find loose ends that could cause potential fragility.

Once the attacker patterns are identified, intrusion patterns can be detected and it becomes easier to identify when and how any vulnerability leads to the network or system.

Improving authentication

Many companies and individuals still use traditional methods of username / email and password authentication. And the main drawback of a common username-password is that many people use the same password for their accounts. And those passwords are not very strong. AI helps identify weak passwords and suggests best practises to strengthen them.

In addition, advanced biometric authentication such as face recognition and iris recognition can help add an extra layer of protection. The use of AI in bio metrics ensures that cyber criminals cannot hack them.

Monitoring

It is important to monitor the official email accounts of employees within the company to prevent cyber security attacks such as phishing. Phishing attacks can be carried out by sending fraudulent emails to employees and asking for sensitive information about their job, such as their banking and credit card details, company passwords, etc.

You can use cyber security software along with machine learning to prevent these phishing traps by monitoring employees' professional emails to check if any features indicate a cyber security threat. Natural language processing can also be used to scan emails and see if there is anything suspicious, such as certain patterns and phrases that indicate an email phishing attempt.

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AI based antivirus software

It is generally recommended that you install antivirus before using any system. This is because antivirus protects your system by scanning for any new files on the network to determine if they are compatible with a known virus or malware signature. However, this traditional antivirus requires constant upgrades to keep up with all the upgrades to newer viruses and malware.

Machine learning there can be very helpful. Antivirus software integrated with machine learning attempts to detect any virus or malware by its unusual behavior rather than its signature. In this way, it can handle common and previously encountered threats as well as new threats from recently created viruses or malware.

Benefits of combining AI with cyber security. Some of them -

AI can handle large amounts of data

Duplicate processes are reduced

Recognition and response times were increased

Authenticity protection

Improved overall security

Improved vulnerability management

The future of machine learning and cyber security

Machine learning development company is still a relatively new addition in the field of cyber security. However, the above 5 applications of machine learning in cyber security are a good start in this field. The only thing to keep in mind is that machine learning algorithms should minimise their false positives, that is, their detection as malicious or part of a cyber attack. Companies need to make sure that they are consulting with their cyber security experts who can provide the best solutions in detecting and managing new and different types of cyber tacks with greater accuracy using machine learning.

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The end

The impact of AI on our lives continues to grow as more and more technology is integrated into everyday life. Some experts believe that AI will have a negative impact on technology, while others claim that AI will greatly improve our lives. For cyber security, the main benefits are faster analysis and focus on reducing threats. Concerns have been focused on the ability of hackers to deploy more sophisticated cyber and technology-based attacks.