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Types Of AI-Related Threats To Watch Out For In 2025

IT Services

For several years now, AI-related threats in cybersecurity have been a major concern for organizations and individuals alike. Unfortunately, 2025 will be no exception. The latest statistics show a clear increase in the use of AI by cybercriminals to fuel all forms of attacks that are increasingly sophisticated and difficult to detect.

  1. Automated, personalized phishing: Using AI, web hackers can create highly personalized phishing emails by analyzing information available on social networks and other public sources. These messages, appearing to come from trusted contacts, increase the chances of a successful attack.
  1. Adaptive malware: AI-powered malware can modify its code in real time to evade traditional detection systems. This ability to adapt makes identifying and neutralizing it more complex.
  1. Deepfakes: AI enables the creation of falsified but realistic audio and video content used to mislead public opinion, defraud individuals or compromise organizations.
  1. Attacks on AI systems: Cybercriminals target AI algorithms to corrupt or manipulate them, resulting in flawed decisions. This is of particular concern in critical areas such as healthcare and finance.

Expert Predictions For AI Cybersecurity In 2025

In 2024, cyberattacks cost North American organizations an estimated $12 billion, with a 600% increase in the use of AI by cybercriminals. Furthermore, in Canada, 93% of CEOs are concerned that generative AI will lead to an increase in threats, highlighting growing cybersecurity challenges.

Experts predict that AI-powered cyberattacks will become more frequent and sophisticated. Criminals will turn to AI to further automate and personalize their assaults, making traps harder to detect and counter.

How To Prepare For An AI-Related Cyber Attack ?

  • Ongoing training: Make employees regularly aware of new phishing techniques and other AI-related threats.
  • System updates: Ensure that all security software and infrastructure are up to date.
  • Proactive monitoring: Use AI-based threat identification tools to spot abnormal behaviour.
  • Incident response plans: Develop and test response plans to cyberattacks.

While AI offers many opportunities, it also introduces new cybersecurity challenges. Fortunately, solutions exist to counter these risks, ranging from advanced detection technologies to secure management practices for AI systems. By adopting a proactive approach, organizations can better anticipate threats and effectively protect their digital assets.

Protect your organization with MicroAge Canada

Don’t let AI-related cyber threats compromise your organization’s security. Trust the experts at MicroAge to provide solutions tailored to your needs. Contact us today for a personalized consultation and make sure your organization is ready to meet tomorrow’s cybersecurity challenges.

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