The cybersecurity operatives all over the world have worked hard to ensure that they keep up with the new methodologies employed by the attackers.
In the wake of the 21st century, there were far fewer cyber attacks targeting vast multitudes of internet users. The trend has however changed, and every user on the internet is wary of the advancing techniques that are being used by cybercriminals in conducting their evil deeds without detection. The cybersecurity operatives all over the world have worked hard to ensure that they keep up with the new methodologies employed by the attackers. Nowadays, experts have resorted to artificial intelligence to help combat and curb the problem and ensure the internet is safe for everyone. AI mechanisms are very close to reaching and surpassing the capabilities that human beings have presently. Read on to learn more about artificial intelligence and cyber attacks, AI and cyberattacks.
A new era in cybersecurity
The introduction of various AI models has been widely applauded by cybersecurity experts. Many regard its inception as the beginning of a new period as far as cyber security is concerned. The main aspects of artificial intelligence being used currently in the cyber safety space include machine learning and Super Intelligent Artificial Intelligence. The machine learning provisions in use exhibit a more enhanced approach of malware neutralization and detection than the conventional antiviruses ever did. They have supernormal capabilities in:
- Identification of potential threats to cybersecurity in the shortest time yet
- Identification and protection of target files and information
- Tighter quarantine capabilities and close to zero likelihood of malware evasion
- Improved efficiency even in offline modes.
Unimaginable scope and coverage
The various artificial intelligence domains apply complex faculties then come up with an extensive assortment of information useful in detection and management of cyber-attacks. Most functions can access endpoint agents and directories or logs to isolate and identify various threats with or without the express permission of the attackers. Through this essential feature of AI oriented cybersecurity measure, the experts are capable of creating a connection between numbers of isolated attacks hence aiding in the prevention of future attacks. The attacks could have taken place years apart and on different networks or continents, but through the robust analysis functions of various Super Intelligent Artificial Intelligence domains, the link is easily identified and tracked.
Handcrafted knowledge in AI
Most artificial intelligence provisions in use for cyberattacks prevention use instructions and patterns given by human minds. They rarely base their actions or analysis on statistical data. Quite a small section of experts can claim to be using statistic-based AI and get meaningful results from the same. The handcrafted AI functions are widely used, but they have one primary downside: bugs.
Bugs and false positives
The bugs more often than not lead to errors that make them somewhat unreliable and therefore require repetition of significant procedure to get an accurate finding. The bugs cause a relatively high number of false positive detections and sometimes create a loophole that can be quickly bypassed by various online cyber threats without exposure.
Software and malware updates
Another challenge that is facing the use of AI in creating a safe cyber environment is the difficulty associated with detection of updated versions of the software. The experts are therefore tasked with the demanding responsibility of updating their AI databases often enough to keep up with the ever-changing versions of various malware or threats. It is therefore only through the development of a top-level description of the software and their corresponding updates can one keep track of potential threats and effectively neutralize them as they appear without the risk of bypassing eventual harm on unsuspecting users.
