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    Lets’ catch up with the new Cybersecurity Judge…

    Today, cyber threats have become one of the major concerns for several industry leaders, as they cause electrical blackouts, breaches of national security secrets as well as the military equipment. They can also result in the theft of valuable and sensitive data like medical records. They are capable of disrupting phone and computer networks or paralyze systems, making the data unavailable.

    However, such situations can be avoided with the modern technologies like Artificial Intelligence and Machine Learning. AI has been portraying limitless potential in various applications across different industries.

    Likewise, the deployment of AI for cybersecurity solutions will help in protecting the organizations from existing cyber threats and help in identifying the newer malware types.

    Moreover, the AI-powered cybersecurity systems can ensure effective security standards and assist in the creation of better prevention and recovery strategies. Using AI for cybersecurity will give rise to data-driven security models.

    Implementing Artificial Inelligence for cybersecurity

    AI for Biometric Logins

    Multiple cybersecurity experts believe that passwords are vulnerable to cyber attacks, and users’ personal information, social security numbers and the credit card information can be easily compromised. Therefore, for cybersecurity, AI has introduced biometric login techniques for secure logins. AI systems can scan fingerprints, retina and palm prints accurately. Such biometric logins can be used in combination with passwords that are already in use with devices like smartphones.

    AI for detecting malicious activities

    Conventional cybersecurity systems are inefficient to tackle new varieties of malware. Therefore, adopting AI for cybersecurity is a feasible solution to handle such problems.

    Many cybersecurity companies are training AI systems for detection of malware and viruses with the assistance of several data sets that include algorithms and codes. With the help of such data, AI enables itself to perform pattern recognition that helps identify the malicious behaviour in software. Additionally, AI and machine learning can play a crucial role in online security.

    At the same time, Machine learning can analyse path traversals of websites to detect whether a website navigates to malicious domains. Likewise, AI-based systems can recognize malicious files, like web shell, and preemptively isolate them from the system.

    AI systems can be trained to analyze micro-behavior of ransomware attacks to recognize ransomware before it encrypts a system. Furthermore, AI systems can use predictive analytics to AI-based alternatives that will always be quicker and more effective than a manual approach.

    AI for natural language processing

    Another significant reasons to use AI for cybersecurity is the potential of natural language processing that comes into play. AI-powered systems can automatically collect data for reference by scanning articles, studies and news on cyber threats.

    Using the analyzed information, cybersecurity firms can identify timescales, calculate risks, harvest data and make predictions. Therefore, cybersecurity firms can stay updated on current cyber threats and prepare effective strategies to secure organizations from numerous cyber attacks.

    AI for Securing conditional access

    Organizations generally use authentication models to secure vital data from unwanted people and intruders. If an employee or business leader with higher authentication privileges is accessing such data remotely, then the system can be compromised using the network. In such cases, traditional authentication models prove to be less agile. Alternatively, using AI for cybersecurity will help create a dynamic, real-time and global authentication framework that alters access privileges based on location or network.

    AI systems can use Multi-Factor Authentication for this purpose. With this approach, the system will collect user information to analyze the behavior of the user, application, device, network, data and location. Using such information, the AI-powered system can automatically change any user’s access privileges to ensure data security on remote networks.

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