Machine learning and artificial intelligence provide us with a wide range of cybersecurity benefits. Artificial intelligence and machine learning can enrich our cyber defences. Its evolution over time has provided the cybersecurity industry with an infinite amount of benefits. The velocity that cyber-attacks and threats are evolving at requires a different approach to tackle the wide variety of new-age incidents and risks, artificial intelligence and machine learning assist tremendously in this aspect by enhancing and developing human efforts. They have the capability to identify and distinguish threats in real-time. The algorithms understand different kinds of attacks and how to deal with each type in different situations.
Fraud detection has improved tremendously because of machine learning and artificial intelligence. Fraud detection previously relied upon a team of analysts manually reviewing transactions and certain defined rules. These methods have evolved to keep up with how online frauds have evolved. Machine learning has the ability to analyse countless patterns of an individual’s online transactions in a day. The machine learning algorithms learn from data continually, which is how they keep pace with the latest attack methods used by hackers to generate fraudulent transactions.
Malware attacks have progressed to be exceedingly complicated, complex and hard to identify. Artificial intelligence and machine learning can help in detecting malware effectively and efficiently. This process helps distinguish malicious and unharmful programs. Machine learning can also do this with email spam filters and defensive rules by filtering out messages with questionable keywords to identify dangerous emails.
Machine learning algorithms can facilitate detection and prevent sophisticated cyber attacks. Artificial intelligence and machine learning tools are good at vulnerability management by looking for potential vulnerabilities through the use of analysing baseline user behaviour, endpoints, servers, and Dark Web discussions to identify code vulnerabilities and predict cyberattacks. Artificial intelligence helps antivirus software detect harmful/safe files and the identification of new forms of malware. Combining traditional methods and AI can detect 100% of malware.
Zero-day attacks (here more about zero-day attacks here) organisation. ‘Zero-day’ is a term that refers to the number of days that an organisation has known about a new vulnerability. Zero-day vulnerabilities are gaps within a system that have not yet been detected, these gaps may be known to cybercriminals and threat actors, and as a result, they attempt to exploit them. Cybercriminals and threat actors can compromise an entire network by going completely undetected for some time. Artificial intelligence helps to stop zero-day attacks the instant that threat actors attempt any malicious moves using real-time threat detection.
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