Artificial intelligence is a branch of computer science. This branch involves the creation of smart machines that work on the principle of Human tendencies.
In other words, These machines function like a Human. AI-based systems are capable enough of making different decisions on their own.
Artificial intelligence enables systems to work with higher efficiency and accuracy. It makes the system work as a human does.
Currently, almost every business worldwide uses AI-based systems. Not only businesses but some hackers are also using artificial intelligence to breach the system security of different organizations.
It is the biggest problem arising nowadays How to protect AI from hackers?
Table of Content
Types of Machine Learning Cyber Attacks:
There are different types of cyberattacks. Hackers perform these attacks using Artificial intelligence and Machine Learning. Now we are discussing such types of attacks.
Phishing: It is a cybercrime in which an attacker uses machine learning algorithms. Such algorithms track the actual system-generated Emails that target customers belonging to an organization. After tracking those emails, the Attacker can develop fake emails. They send such fake Emails belonging to customers of a particular business. This may cause false payments, Data leaks, and many other threats.
Spoofing: Spoofing is one of the major cyber threats practiced by hackers. Spoofing is a cyber threat in which an attacker portrays as a member of a business organization. Attackers use different algorithms to create Fake Emails, videos, and voices. These Emails are exactly the same as the company's original emails.
Ransomware and Malicious Software: Attackers also use different types of AI-based ransomware. Malicious software can be anything used to corrupt your systems. It can be anything like an attachment, or a File. These files capture your entire protected system. after which hackers can infiltrate your device with some viruses like trojans. Hackers can also demand ransoms by using ransomware.
Vulnerability Search: This is a process of searching for vulnerabilities in different systems. Hackers use different machine learning algorithms for finding vulnerabilities. Those vulnerabilities are already there in systems that belong to a business. After they discover such vulnerabilities they inject malicious software into such systems. this enables them to edit and delete the private details presented in that system.
Automated attacks: One of the greatest examples of these attacks is DDoS attacks. These attacks different types of software that consists of bot technology. This technology is used for deriving the public's personal data.
These are some of the cyber Attacks based on AI and ML. These attacks can cause serious damage to systems. It will compromise data, customers, and also the reputation of any business. To save your business from these threats, you must hire AI-based developers. These developers can develop business applications keeping such threats in mind. You can also hire an AI development company that works in the cyber security sector.
Benefits of Machine Learning in Cybersecurity
There are several benefits of Machine Learning listed below:
Discovering vulnerabilities: Machine learning can discover different forms of vulnerabilities. Systems used in different businesses are having several unidentified vulnerabilities. These vulnerabilities are further targeted by hackers. Machine learning reduces or removes such vulnerabilities.
Automated Security: machine learning enables automated security in the systems. Automated security is the process of securing a system automatically. This process involves detecting different threats and protecting your system against them.
Self Improvisations: AI and machine learning-based business systems are capable to learn. They can learn those things on the basis of their experiences. These systems can check out different threats. AI systems can learn to protect themselves from such threats.
Detection of malicious Activities: AI-based systems are capable of detecting different malicious activities. These activities are practiced by hackers. They can detect such activities without any human instructions. These systems are also capable to take different preventive measures.
Enables Authorisation: Ai and machine learning enable the authorization of certain users. Authorization involves encryption activities. The system provides login credentials to authorized users. These systems detect the credential inserted by the user. After checking the credentials the user is granted system access.
Disadvantages of Machine Learning in Cybersecurity
Out of some advantages, AI and machine learning also have some disadvantages. We have listed some of the disadvantages of AI and Machine learning below:
Need Larger datasets: AI and machine learning need a large number of datasets. These datasets consist of different forms of data used to perform different operations. AI and machine learning can only secure such kind of data that is not duplicated, accurate, and larger in size.
Needs a lot of training: AI and the machine learning process need a lot of training. It consists of different algorithms. Algorithms consist of a set of codes used to secure your system. One has to learn to code and also get the knowledge of different machine learning algorithms.
Costly Process: AI and machine learning-based security is a costly process. Securing your systems with AI and machine learning requires High-end systems. These systems consist of high-end system software which costs your business a lot.
We have learned different aspects of cybersecurity during this article. It's for creating awareness among different businesses and individuals. AI and machine learning are technologies used by everyone for fulfilling several tasks. Not only businesses but such technologies are also used by hackers nowadays.
We have also discussed different aspects of how Hackers can use AI and machine learning. They use these technologies in hacking systems that belong to your business.
These technologies are also used for securing your business systems. AI and machine learning can detect different threats. These systems are capable to prevent your business from cyber threats.
Both AI and ML work on different algorithms that consist of a particular set of code. It can be a costly process but is capable to protect your systems. These technologies are more secure and accurate.