internet population in Canada is the highest it has been, topping the charts at 33 million. That number is only expected to increase through the upcoming years. However, this growing number and continued adoption of online services pose increasing cybersecurity risks as cybercriminals take advantage of more online users and exploit vulnerabilities in online infrastructure. This is why we need AI-backed software to provide advanced protection for online users.
The nature of these online threats is ever-changing, making it difficult for legacy threat detection systems to monitor threat behavior and detect new malicious code. Fortunately, threat detection systems such as McAfee’s Antivirus and Threat Detection Defense adapt to incorporate the latest threat intelligence and artificial intelligence (AI) driven behavioral analysis. Here’s how AI impacts cybersecurity to go beyond traditional methods to protect online users.
What is AI?
Most of today’s antivirus and threat detection software leverages behavioral heuristic-based detection based on machine learning models to detect known malicious behavior. Traditional methods rely on data analytics to detect known threat signatures or footprints with incredible accuracy. However, these conventional methods do not account for new malicious code, otherwise known as zero-day malware, for which there is no known information available. AI is mission-critical to cybersecurity since it enables security software and providers to take a more intelligent approach to virus and malware detection. Unlike AI–backed software, traditional methods rely solely on signature-based software and data analytics.
Similar to human-like reasoning, machine learning models follow a three-stage process to gather input, process it, and generate an output in the form of threat leads. Threat detec ..
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