Use of AI in preventing Cyber Threats

The use of AI in combating cyber threats has proven effective for organizations in recent past/ in recent days. We have seen an increase in complexity and sophistication in the way cyber threats are undertaken. Malicious hackers have devised ways of staying ahead of the present technology to manipulate computer systems. Recovering from a cyber-security breach may demand a huge pool of resources, which at times are limited. In this regard, AI has presented efficient countermeasures that businesses and institutions can leverage to reduce cyber threats. Proper use of AI enabled technologies is a sure way of dealing with cyber-attacks to a comprehensive conclusion. Below are some of the ways AI is used in combating cyber threats.

Improved detection of cyber threats

Machine learning and deep learning are the two main subsets of AI. In cybercrime, the two are used to assess the perioral patterns of different systems, hence detecting existing anomalies. Once the anomalies are detected, the company can counter the attack by instituting the best measures possible. Different AI systems come with different detection systems. Some are more effective than others, which leaves the company to select the best system. Threat hunting enabled by AI allows the processing of large volumes of data by creating application profiles in the organization’s network.

AI provides up-to-date cyber solutions.

Among these solutions is biometric authentication. This is an AI-enabled system that helps identify and authenticate individuals depending on their unique biological characteristics. Biometric systems with AI capabilities help ensure that systems are only open to certified persons. In this case, malicious individuals cannot access company servers and databases, which improve their security significantly. Security systems with AI-enabled systems are always ahead of threats. Machine learning enables computer systems to use algorithms and make subsequent improvements promptly. In this context, machine learning enables computer systems to predict anomalies and suggest the most effective countermeasures.

System Protection and Authentication

Passwords are one of the most fragile entry systems in cyber-security. It requires a high level of protection to ensure passwords are safe for use. Therefore, AI has presented alternatives to passwords since they are most vulnerable to the security of personal and company data. An illustration of an AI-enabled biometric authentication system is Apple’s ‘Face ID.’ This technology works by capturing the user’s unique facial features, which are unique to the individual. After that, the AI software in this technology creates a correlation between the unique patterns of the individual. This, therefore, means that the system is accessible only to the certified individual.

 Mayur Rele concluded AI has led to a huge shift compared to the traditional methods of dealing with cyber-attacks. With AI, cyber security has become more efficient and safe for use. As technology evolves, it calls for a more sophisticated and developed system to deal with cyber threats. AI has made these possible using well-connected systems that detect anomalies early enough and suggest efficient measures. However, there remain a lot of improvements to be made to deal with cyber security substantively. Furthermore, AI-enabled cyber security presents several shortcomings that users ought to be aware of before implementing the technologies.