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How Can AI Pose a Threat to Cybersecurity in Canada?


We use AI in our daily lives, whether through Alexa or Siri or the personalized purchasing experiences offered by numerous companies.

AI has several benefits and has contributed to the expansion of the business sector; nevertheless, this approach has its drawbacks. According to Canada’s top cybersecurity body, hackers use artificial intelligence to create malware, convincing phishing emails and to spread disinformation. Sami Khoury, Head of the Canadian Centre for Cyber Security, stated in an interview that his organization had observed the use of AI in various cybercriminal activities such as phishing emails, crafting targeted emails, writing damaging code, and disseminating misinformation and disinformation.

The frequency of malicious attacks is constantly growing and the need for reliable cybersecurity mechanisms is even higher. Using password managers, antimalware software, firewalls and VPNs is essential. For instance, services like ExpressVPN provide secure internet connection and shield your data from malicious third parties. Furthermore, a reliable anti malware software can help you to protect your devices from malware threat. On top of that, if you store valuable data on your device, start encrypting your disc. Mac users can rely on FileVault, while Windows users can use BitLocker to encrypt all the data on their devices and ensure even if they lost their device, third parties won’t be able to access it.

However, cyberattack statistics show that there are always new threats coming our way and we have to stay vigilant to protect ourselves from new threats. This article will examine how artificial intelligence might constitute a substantial cybersecurity risk today.

Traditional Cyber Defenses Being Tested By AI-powered Malware

Cybercriminals utilizing artificial intelligence to produce malware are perhaps of the most serious concern. Artificial intelligence-fueled malware may distinguish and exploit safety defects in an association’s frameworks. Cybercriminals can use profound learning calculations to assemble new malware strains impervious to existing mark-based identification draws near.

Social Engineering AI Causing More Successful Phishing Attacks

Phishing schemes and social engineering attacks are typical, but AI-enabled social engineering operations can be even more effective. Cybercriminals can utilize artificial intelligence to create speech or chatbots that mimic real people and trick users into disclosing information that can be used to gain access to their systems.

AI enables the launch of sophisticated social engineering attacks, in which the cybercriminal pretends to be someone the victim trusts, such as a boss or a business partner. Artificial intelligence manipulates natural language processing to generate material that appears authentic like emails or chat messages.

Poisoning of Data

Data poisoning is a significant cybersecurity threat as well. Expectedly, AI made these attacks even more vicious. Here, hackers intentionally introduce false data into a company’s data collection, skewing the results of any predictive modeling or machine learning algorithms. Data poisoning is an adversarial method in which training datasets are altered by adding poisoned or polluted data to affect the behavior of the trained ML model and provide false results.

Deepfake Generation Using AI Resulting in Fraud Increase

Because AI can generate accurate imitations of human activities such as writing, speech, and images, it might be used in fraudulent activities such as identity theft, financial fraud, and disinformation. AI-created deep fakes are used to produce material that seems natural while containing false information. A deep fake video, for example, may portray someone saying or doing something suspicious that they never said or did, causing reputation damage, decreased credibility, and other consequences. Deepfake technology uses Artificial Neural Networks (ANNs), which learn from data and do tasks that need human intellect.


Artificial intelligence and machine learning can improve security while making it easier for hackers to access systems without human intervention. This might be detrimental to any firm. Teams at security operations centres must actively prepare for the rising security dangers posed by artificial intelligence.

Image by starline on Freepik

Other articles from totimes.ca – otttimes.ca – mtltimes.ca

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