As companies have started storing large amounts of sensitive and confidential data on the cloud and other online databases, the need for robust cybersecurity has intensified. Over the years, the frequency of cybercrime and attacks have only surged, which has put several major organizations in a perpetual state of fear and uncertainty.
With more and more advancements in technology, hackers and cybercriminals have become smarter and competent to break into well-guarded companies and cause detrimental damage. To counter this, AI has made revolutionary breakthroughs in the last decade and can help organizations defend their systems from cyber-attacks.
Artificial intelligence-based solutions can leverage machine learning to detect unauthorized activities and malware without any decryption. Here are some of the ways AI technology can help create better prevention strategies and improve security.
1. Identifying Unusual Activity
AI technology has been designed to swiftly sift through and analyze large volumes of data, which is not possible for normal systems and security analysts. Since it’s all automated, it makes it easier to identify threats, unauthorized access, and other sorts of activity that takes place on the business network.
In turn, whatever the system distinguishes can then be analyzed and shadowed by security experts and IT specialists to track potentially malicious activity. AI runs multiple scans on the system and can focus on a specific activity to locate where it’s coming from to help higher management work out their next move.
In addition, all the users of the system - which include employees, customers, and clients – can be closely monitored when there is any unusual activity to prevent any damages. Through machine learning, the AI system is trained to distinguish between normal and abnormal activity, so anything new is detected immediately and can be further investigated.
Even the slightest of unusual patterns don’t go undetected by the system as often times security experts overlook these activities, which later turns out to be bigger threats. This takes away the pressure on cybersecurity professionals and reduces human error on a significant level so companies can locate alleged threats before they cause any critical damage.
When you’ve identified the malware or virus, the next step is to prepare the response, which is equally as critical as detecting the threat. If there has been some loss, then the company does damage control, or they work on extracting the virus from the system. In both cases, AI facilitates the process, making it easier and less time-consuming.
1. Automatically Updates Databases
AI technology can update security databases by verifying logs and any sort of access that took place on the system. This makes it easier to “connect the dots” between multiple unauthorized accesses and identify potential threats that are behind the suspicious activity.
1. Detects Threats in Advance
AI systems can be trained to detect threats and malware, which is usually ignored by more traditional systems. They can use complex algorithms to track malicious activities and proactively identify potential threats so organizations can act on those insights and prevent significant damage.
Artificial intelligence is proficient in detecting new-found malware trends and security flaws that can cause damage to a system. Moreover, what takes security analysts hours and hours of sifting through large volumes of data can be done in minutes by artificial intelligence technology. This allows you to make informed decisions and respond to threats with utmost agility and confidence.
2. Algorithms Can Learn Over Time
AI programs can be enhanced through machine learning, which allows them to effectively note unusual behavior patterns and any changes in the network. It teaches the program to adapt with time and progress with the changes in the system and environment to deliver better security and data protection.
Similarly, these modern solutions can be implemented on a platform to monitor and familiarize themselves with the network’s traffic and data patterns, so any unconventional activity is detected instantly. The concept of familiarizing with the system is to help IT, specialists, and analysts, to spot any potential risks or faulty areas in the system that could cause problems in the future.
Where Does AI Stand Now In The Real World?
Currently, many major banking institutions have implemented AI-enabled chatbots and automation tools to tackle all customer-related concerns and have digitized their customer services department. Not only does this facilitate faster payments and tokens, but it also helps detect any suspicious activity.
Moreover, the integration of biometric logins, palm print, or finger scans has helped maximize security across all fronts to ensure customer satisfaction and data security. Artificial intelligence makes way for a new frontier of cybersecurity applications that can help businesses predict and prepare before their next attack.
It has empowered security professionals to build detection systems that can study vast amounts of data collected from end-users and identify probable fraudulent activities with maximum agility. Businesses utilizing AI and Machine learning-powered solutions must ensure an IoT and information technology infrastructure consisting of computers, clouds, and transmission lines such as coaxial cables
This leaves room for security experts to focus more on improving algorithms and monitoring potential intrusions that exceed the expertise of skilled hackers.
Ultimately, artificial intelligence has heightened the productivity of cybersecurity officials and empowered them to build robust systems that can defend themselves against scams and malware. With our world becoming more and more tech-centered, businesses need to utilize technologies that can understand and protect a modern organization against the realities of cybersecurity threats.
AI has relieved cybersecurity professionals of the tedious task that is to decrypt the metadata and traffic and search for any malware without breaching any privacy policies. The best part about AI technology is that it is ever-evolving with modern advancements that enable it to spot threats and malicious activity and keep up with the sophistication of cybercriminals.
To say the least, AI technology is here to stay, and coupled with the knowledge of security operations teams, it is teaching us to react and guard our establishments before any breach could take place. Are you using AI at your organization? Share your experience with our readers!
Published by Myrah Abrar