Application of artificial intelligence in cyber security
With the integration of ICT in almost every aspect of our daily lives, and technological revolution gradually approaching its peak, issues of breaches in cyber security are soon going to be as rampant as a horde of shopaholics at the end of a financial year sale. You know how complete privacy and security is almost an unattainable thing especially in the twenty first century.
Cybersecurity service companies are really doing their utmost best to make sure they address this growing issue and provide cybersecurity solutions for big businesses, small businesses, servers, financial institutions companies and various industries to help them tackle issues caused by breeches in security and cyberattacks. But with an increase in cyber-attacks the security operation centers can barely keep up with the demand due to limited work force. Some statistics even show that there are over three million positions to be filled worldwide in the cybersecurity industry, meaning cybersecurity professionals would have to work harder and for longer hours to augment for the inadequacies.
AI systems as a means of addressing cyber-attacks
AI systems as a means of addressing cyber-attacks would be of great impact to the cybersecurity sector, this is because artificial intelligence will boost security automation and orchestration since they can use neural pathways and machine learning to evolve. It would also make the process through which cybersecurity service providers monitor, detect and respond (MDR) to attacks a lot more convenient and faster. The machine language used by artificial intelligence is what helps the computer systems learn and adapt using the data they have gathered to boost threat intelligence and further protect establishments form future attacks. The artificial intelligence systems basically mimic human learning based on past experiences and patterns as opposed to deductive or inductive conclusions. And because AI’s can be self-taught, advancement in machine learning will enable machines teach themselves how to create designs for pattern recognition to help detect future malware (virus) attacks and breaches in security.
In recent times using conventional tools and protocols have seemed less efficient in the detection of cyber-attack especially those caused by new generation malwares mainly because these malwares and viruses have evolved over time and therefore various dynamic approaches will be required and might even be necessary, if an effective solution is to be proffered. Since the level of cyber-attacks we experience are not only becoming sophisticated and advanced but are now occurring more frequently. A lot of pressure has been mounted on cybersecurity companies, having in mind that small breaches in security or late detection of attacks can lead to greater problems for companies, it is only proper that we include security automation as an approach to tackling cyberattacks because with the help of AI’s businesses would most certainly have an edge when fighting off attacks.
Companies who rely on cybersecurity
Companies who rely on cybersecurity service providers who have incorporated AI’s in their cybersecurity solutions would be able to detect new malware or viruses quickly because of the existing data gathered by the artificial intelligence systems using neural pathways in addition to thoes accumulated after eradicating several malwares as a result of machine learning. This would not only make the time frame used to address similar attacks in the future lesser, it would also give employees more time to address other pressing issues that require human attention. Experts say that in the nearest future a large number of companies, big businesses, small businesses, industries governmental organizations and even tech start-ups will depend on artificial intelligence to fend off cyber-attacks thanks to the rapid advancement in computing power and data management. This will effectively help them in protecting themselves against sophisticated hackers and new advanced malware (viruses). Artificial intelligence helps in fighting against cyber-crime by basically automating the various complex processes responsible for detecting and responding to the attacks and because they are machines they do it in a lesser period of time than humans would, with a smaller margin for error.
Despite all these benefits, experts fear that the use of artificial intelligence may give rise to even more complex hacking technologies. Even though AI’s through the use of data deception technology can detect analyse and protect against advance attacks by tricking the attackers, if these attacks are able to find out how the machines are capable of counteracting their attempts, it would enable them to create even bigger threats. Still, it is almost certain that with the combination of well- trained cybersecurity professionals and an adaptive artificial intelligence technology that continues to evolve and become smarter, company security operation centers
will always have a competitive edge conventional methods of cybersecuritsy fail to offer.
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