The role of AI in cyber security

The role of AI in cyber security


Nowadays with over 15% of the total enterprises preferring IT, it has become a common debate whether AI is a blessing or a curse. The development of AI started in the 1950s’, since then it has witnessed enormous amount of development, researches and applications. Their ever-widening impact on the world gives birth to doubts and fears in our minds. They are replacing humans in the form of machines and bots, providing economic and powerful services than ever before. Currently, AI has already made its valuable place in the field of medical sciences, manufacturing, education, cybersecurity and much more.Cybersecurity has become a major concern in the recent era as cybercrimes have become a menace for privacy of the people these days. Not only corporate, but governmental organizations have also started stressing on the needs of mastering AI and machine learning skills to protect sensitive data. All these factors add to more growth and development of this field.

AI powered security systems can enhance security standards and assist in the development of better evasion and recovery strategies.

Biometric logins

Just before Black Friday, Amazon was focused in a noteworthy security breach that bargained the email locations and individual data of numerous clients. Amazon authorities guaranteed that clients need not change their passwords, however Richard Walters, Chief Technical Officer Censor Net, didn’t concur with Amazon. He added that clients need to change their passwords as most passwords are vulnerable, and a few passwords are promptly accessible on the dark web because of the recent breach of data by the hackers. Therefore, many experts believe that information of the clients (passwords, security codes or any secret account information) can easily be breached and put to an illegal usage. Thankfully, AI has helped in the development of biometric login techniques for secure login. AI devices can scan fingerprints, retinas and palm prints quickly and accurately. Such a system can be combined with a password-protected system or any other system for robust protection.

An eye for threats and suspicious activities

Conventional cybersecurity frameworks use Advanced Threat Prevention to detect digital dangers and protect from their possible attacks. Nonetheless, 845.37 million malwares were made in 2018 and around 10 million new malwares are made each month in the current year. Common cybersecurity frameworks are less effective in taking care of such new kinds of malware. Thusly, embracing AI for cybersecurity is a reasonable answer for handling such issues.

Cybersecurity firms are constantly updating AI systems to detect malware and viruses with the help of advanced data sets, algorithms and codes. Incorporating such algorithms, AI can perform pattern recognition that helps recognize suspicious behavior in software. Moreover, AI and machine learning can play a decisive part to strengthen online security. Machine learning can examine path traversals of websites to identify whether a website makes its path to malicious domains. Similarly, AI-based systems can recognize malicious files, like web shell, and isolate them before it sabotages the system. AI systems can be hard-coded to detect and eliminate roots of ransomware attacks to recognize ransomware before it encrypts a system.


Limitations of AI for cybersecurity

Despite of having tons of advantages of deploying AI, the limitations of AI are barricading the typical adoption of the technology. For beginners, building and maintaining an AI-based system can be costly; demands a huge amount of resources, such as memory, processing power and loads of data. Since AI systems are hard-coded with data, cybersecurity companies need to constantly update datasets of malicious codes and non-malicious codes frequently to help AI learn of new threats. Besides, the data to be hard-coded needs to be accurate, as inaccurate data will lead to unproductive result. Therefore, finding, gathering and integratingspecific datasets can be a headache and would consume a great deal of time.

Just like ethical hackers and cybersecurity experts that make use of AI for cybersecurity, black hat hackers can develop their malware with AI. With constant efforts, hackers might be able to develop malwares which might go undetected under the radar of AI security systems. Considering the threats from malware today, one can only imagine of the destruction caused via an anti-AI malware. Following the same principles, hackers can learn and follow the same algorithm to outsmart the deployed AI powered cybersecurity systems. While no organization is completely safe from security breach, limitations can still be dealt with if the security firms constantly update the AI security systems and keep the used algorithms top-secret.


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