Cybersecurity: The Threats of Artificial Intelligence (AI)
Artificial intelligence (AI) is becoming a hot topic in the field of cybersecurity. According to Trend Micro’s latest predictions report for 2024, one of the key focuses is generative AI (GenAI). This type of AI will increase the level and effectiveness of social engineering baits used by scammers to deceive potential victims.
The report predicts that voice cloning will be at the center of targeted scams, making it a powerful tool for identity theft and social engineering. Other techniques, such as spear phishing, harpoon whaling, and virtual kidnappings, also exploit AI to carry out computer criminal schemes.
While some AI models may be shut down, scammers will continue to find new ways to exploit AI for their cybercriminal activities. The lack of legislation to regulate the use of generative AI further emphasizes the need for defenders to implement zero trust policies and maintain a vigilant mindset within their companies.
The Challenges with Blockchain
In addition to AI, private blockchains pose potential problems in terms of cybersecurity. Private blockchains are increasingly being adopted by companies to reduce costs but may serve as a hunting ground for scammers. Unlike decentralized public blockchains that face constant attacks and become more secure over time, private blockchains generally have fewer stress tests and lower resilience.
The report also highlights threats related to decentralized autonomous organizations (DAO) governed by self-executing smart contracts hosted on public blockchains. These smart contracts can add complexity to crimes against decentralized finance platforms (DeFi).
Other Challenges: AI/ML and Cloud
Machine learning (ML), which is closely related to AI, can also pose challenges in terms of cybersecurity. Additionally, cloud environments are increasingly critical for businesses but can be vulnerable to custom-made worms exploiting cloud technologies and incorrect configurations.
Data stored in the cloud can be poisoned, making ML models vulnerable and potentially leading to the disclosure of confidential information or the provision of distorted content. Cloud adoption requires businesses to go beyond routine vulnerabilities and address potential threats in their computer systems.
Artificial Intelligence (AI) and Scams: Cybersecurity at Risk
In the crypto field, scams facilitated by AI are a major concern. Scammers can enhance their social engineering techniques using GenAI. In 2023, fake videos created with AI circulated, featuring unaware VIPs promoting real scams. Reproducing the image and voice of famous individuals using AI has become easier, making it challenging to detect these videos.
The key point is not to determine whether digital content is authentic or not but to verify the primary source that first published and distributed it online. This process is often overlooked by ordinary people and even information professionals. It is crucial to identify and verify sources to ensure the credibility of information.
Hot Take: Artificial Intelligence and Cybersecurity
As artificial intelligence continues to advance, it poses both opportunities and challenges in the field of cybersecurity. While AI can enhance security measures, it also opens doors for cybercriminals to exploit new techniques for scams and attacks.
Defenders must stay ahead of emerging threats by implementing zero trust policies and maintaining a vigilant mindset within their organizations. Additionally, regulations for the use of AI need to be established to mitigate potential risks.
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