Monday, 22 June 2020

Artificial Intelligence in Cyber Security

In all sorts of organizations and companies as well as consumers who make use of it, cyber criminals pose a threat. Companies do their best to tackle cyber attacks, but it is hard to predict what new campaigns will come into existence and how they will function. Your perimeter can't be defended against unknown threats, and cyber criminals benefit from that.

How Artificial Intelligence comes into the role?

Cyber security is increasingly influenced by artificial intelligence and machine learning (ML), using security tools for analysis and identifying potential threats from millions of cyber reported incidents. 

Artificial Intelligence allows us to react smartly and to understand the relevance, consequences, and responses of a violation or a change of behavior.

Using machine learning, a violation can almost be detected immediately, preventing possible damage from a malicious intrusion, stolen login credentials, deploy malware, or otherwise allows attackers to access the network.

Usage of Artificial Intelligence on the positive side

Threats and other potentially malicious activities may also be detected using AI. Conventional systems simply can not keep pace with a large amount of malware created each month, which is why AI can take action to tackle this problem. Cyber Securities companies teach AI systems the use of complex algorithms to detect viruses and malware, allowing AI to perform pattern recognition in software. AI systems can be trained to identify even the smallest ransomware and malware attack behavior before it gets into the system and isolate it. They also can use predictive functions that exceed the speed of conventional approaches.

In multi-factor authentication situations, AI systems can also be used to provide users with access. Different users of a company have various levels of privileges for authentication that also depend on the location of data access. The authentication frame can be much more dynamic and real-time when using AI, and it can change access privileges based on the user 's network and location. Multi-factor authentication gathers user information to understand this person's behavior and to determine the access rights of the user.

It is important that the right cyber-safety firms who are well acquainted with their functioning use AI to its fullest capabilities. Whereas malware attacks have been occurring in the past without any indication of the weakness that they used, AI may intervene to safeguard cyber security firms and their customers from attacks, even if many qualified attacks are involved.

Conclusion: AI will be a technology capable of transforming one 's life in an ideal future world. It will make everything "smarter" and more efficient, integrated into our homes, cars, and devices. Insecurity, it can detect malware in a network instantly and guide the response of incidents and detect intrusion before starting. In short, it will permit us to develop powerful partnerships between humans and machines which will transcend our limits, enrich our lives, and drive cyber security more than the total of their components.

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