The emergence and continued development of artificial intelligence (AI) is creating endless new possibilities in the world of cybersecurity. AI helps security teams move faster than ever by detecting threats and weaknesses faster and more accurately. Like all new resources that help humanity move forward, new technologies are also eagerly sought after by cybercriminals, so this is much needed.
Cybersecurity teams are already leveraging AI and machine learning (ML) to stop cybercriminals. Advanced cybersecurity solutions use such technologies to automatically detect attacks, quickly monitor large amounts of data traffic, detect patterns of fraudulent activity, and even predict attacks. This is just a selection of AI applications that make life much easier for cybersecurity teams.
On the other hand, the same AI assets can be used for more malicious activities. From crafting more successful phishing emails to generating deepfakes. The growing popularity of AI has taken the cat-and-mouse game between hackers and security experts to new heights.
Take your phishing to the next level
Phishing emails could be easily identified by incorrect language and were also impersonal. The rise of ChatGPT has allowed attackers to generate personalized phishing her messages based on past successful messages or messages with specific details that make the message more credible. Therefore, employees need to be more trained to spot phishing emails and ask themselves, “Is this link safe?” more often. Because it’s getting harder and harder to tell at first glance.
acquaintance’s deepfake
The fact that deepfakes can cause massive damage is no longer news. However, another variant of deepfakes has recently emerged. AI bots can generate or mimic voices and even videos. Cybercriminals can now pretend to be one of the company executives and persuade employees to share money, personal and company information. This technique is the next evolution of his now well-known WhatsApp scam, in which the voices of family, friends and colleagues are forged and only people are called by a computer.
Widespread dissemination of false information
With the help of AI, hackers can more easily send false information into the world and influence public opinion at scale. Fake news and misinformation can cause a lot of confusion. Proposing that a particular stock (or cryptocurrency) will become valuable can create hype among investors. Companies and individuals then invest money in these stocks to artificially increase their value. This is a lucrative scam for criminals who have pre-purchased a piece of stock (or cryptocurrency). Additionally, malicious groups can influence public opinion, reputation, political and social issues.
Reputational damage caused by fake emails
With generative AI, you can recreate very realistic email exchanges. They can cause serious reputational damage. Suppose an AI model appears to be emailing management to discuss how they are trying to make up for a funding shortfall. If that email exchange is then “leaked” and spread through social media bots, the reputational damage is immense, with potential consequences including customer and employee turnover and a plummeting business value. may be included.
To combat the potential damage from these AI threats, cybersecurity teams must take proactive and preemptive action. You can level the playing field by fighting fire with fire and using AI to protect yourself from AI. It protects AI applications and harnesses the power of AI to fend off threats.
Needless to say, AI has great potential to continuously improve cybersecurity. It is imperative for cybersecurity teams and executives to keep in mind that with new developments come new opportunities for criminals. Relying on proprietary and sometimes outdated techniques and manual processes to protect yourself is no longer possible in an era of lightning-fast development.
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