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A collection of over 250 uses for artificial intelligence

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Identify cyber threats and mitigation

Introduction

In the field of Information Technology, it has always been important to talk about cybersecurity. With the increasing process of digitalization, the threats have also increased and became more sophisticated. Consequently, organizations are now relying on machine learning or ML and artificial intelligence or AI as powerful solutions for identification and management of threats. Thus, by applying AI capabilities for pattern recognition and predictive analysis, organizations are able to effectively prevent potential threats which may lead to expensive breaches or system down time.

Challenges

There are various obstacles in the process of integrating AI and ML in cyberspace with cybersecurity. First, it is difficult to make sense of the massive amount of data that needs to be examined if it is not for appropriate tools. Also, the threats are continuously developing, which means that the existing protective measures should be flexible enough to accommodate changes. Another challenge is the shortage of skilled cybersecurity personnel, coupled with the increasing demand for real-time threat identification and mitigation. Finally, false positives create problems such as resource consumption and delay, therefore calling for improved threat identification technologies.

AI Solutions

There are several prospective solutions that AI and ML can provide to these challenges. One of the key strengths of AI is that it can process large amounts of data to search for relationships and connections that may indicate a risk. This makes ML algorithms particularly effective as they become better with the more data they are supplied with, and less likely to raise false alarms. In addition, AI can do boring work, so that specialists will be able to concentrate on the important cases. There is AI-enabled cybersecurity software and solutions from Darktrace and Cylance that uses artificial intelligence to identify and mitigate threats in the real-time.

Benefits

There are a lot of benefits of using AI and ML in cybersecurity as well. These include the ability to prevent threats before they even occur and thus minimize the effects of a breach. It also enhances efficiency through handling the basic tasks and increasing the efficiency of identifying threats. This not only helps in preserving resources but also enables better utilization of skilled personnel. In addition, by offering a flexible approach, the AI and ML can guarantee the protection that is current and future in nature for the organizations.

Return on Investment

AI and ML can be very profitable in cybersecurity as they can give a high return on investment. This is because CYBER SECURITY INCIDE the organization’s budget can be costly and the losses that are incurred from breaches can be very costly as well as the time taken to resolve the issue. In addition, the benefits that come with the use of AI and ML such as efficiency and accuracy can also help to reduce costs in the long run. This is according to a research done by Accenture which states that AI has the potential of reducing cybersecurity costs by $6 trillion by 2022.

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