The best way to reduce the risk of cyber threats is to use artificial intelligence solutions and strategies.
Artificial intelligence is revolutionizing many industries around the world, such as manufacturing, retail, pharmaceuticals and information technology, but it is also reinventing cyber attacks. Since the outbreak of the coronavirus pandemic, the telecommuting culture and rapid cloud service operations have encouraged hackers to come up with innovative solutions to migrate to networks. These cyber attacks pose a serious risk to global security. According to the MIT Technology Review Insights report, along with artificial intelligence cybersecurity company Darktrace, “offensive artificial intelligence risks and cyber threat zone developments are redefining corporate security as people already struggle to keep up with advanced attacks.”
Because cyber attacks have evolved over time, professionals are exploring ways to use artificial intelligence to combat these threats. Attempts are being made to integrate artificial intelligence into existing security systems because artificial intelligence is capable of identifying and anticipating security threats. According to a report by the Capgemini Research Institute, 69% of organizations agree that artificial intelligence is crucial for safety because traditional methods cannot control the problem.
Deployment of AI on the battlefield
Artificial intelligence can identify suspicious functions in a company’s entire technology and in its user roles. To secure different software, artificial intelligence antivirus software can detect network anomalies. When malicious software is launched online, artificial intelligence antivirus software can detect it and prevent asset exploitation.
When an organization adopts a new technology, Controlling user behavior becomes critical because incorrect movement can cause harmful damage. Artificial intelligence is able to evaluate the behavior of network users. When a new user logs on, artificial intelligence capabilities can detect fraudulent activity, disable the user, and notify the administrator.
According to a Forrester study, 88% of cyber security experts believe that attacks based on artificial intelligence will increase in the coming years. Organizations address several new loopholes on a daily basis. Although conventional management techniques take time to eliminate elevated loopholes, they are necessary to manage and control the identified vulnerabilities. Artificial intelligence methods, such as user and event behavior analysis, can analyze the basic behavior of servers and help these traditional technologies strengthen data security.
Traditional cybersecurity methods take time to develop cybersecurity policies based on an organization’s network topology. To this end, the use of artificial intelligence to understand the behavior of network traffic improves network security. Artificial intelligence analytical and monitoring skills can improve infrastructure efficiency and lower system maintenance costs. Traditional security methods depend on vulnerability indicators to identify attacks. While this approach works against known attackers, it is ineffective against new attacks. Combining artificial intelligence with existing traditional methods improves tracking speed and provides an added benefit.
Setting AI cyber security strategies
It is unfortunate that hackers can use artificial intelligence to attack organizations that are building their processes. To reduce the threat, security experts should plan Artificial intelligence software that can anticipate potential threats, select the correct solution and implement it in the identified malware. Organizations that rely heavily on AI need to assess the impact of AI attacks on existing AI systems and develop strategies accordingly. Natural language processing can also be used to gather information about past and current cyber attacks and to improve data protection features.
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