Published on February 10, 2024, 12:15 pm

Using the power of generative AI, cybersecurity researchers at IBM have achieved a concerning breakthrough. They have successfully manipulated live phone calls, potentially enabling fraudsters to siphon money into their own accounts. By employing a technique known as audio-jacking, which utilizes generative AI models, the experts were able to distort and tamper with real-time audio transactions. This includes cloning voices and introducing false background noise.

The implications of this manipulation are far-reaching. Attackers can disrupt communication channels, disseminate fake information, or intercept sensitive data. The consequences become even more severe when considering areas that rely on secure exchanges, such as financial transactions and confidential conversations.

In their experiment, the researchers demonstrated how they could manipulate live conversations by combining multiple generative AI technologies. A method was developed using language recognition, text generation, and voice cloning to identify instances where the keyword “bank account” was used in a conversation. Consequently, the correct account number could be replaced with the attacker’s own.

Interestingly, it is easier to replace a short passage within a conversation than it is to fabricate an entire dialogue using an AI voice clone. Furthermore, this technique could be expanded beyond financial transactions and applied to other domains like medical information. What’s most alarming is that developing this proof of concept was surprisingly effortless for the researchers.

The artificial voice replacement process is swift because as little as three seconds of original voice audio is enough for creating a convincingly similar voice clone. The replacement can occur almost instantaneously if sufficient processing power is available or can be masked by including bridge sentences like “Sure, just give me a second to pull it up.”

The experiment clearly highlights a significant risk for consumers if this technology falls into malicious hands. Suspicious moments during conversations could be manipulated or paraphrased while follow-up questions may alter the course of discussion entirely. As video-based AI systems continue to evolve, these interventions might extend into live video broadcasts in the future.

The ramifications of this advancement are concerning and emphasize the pressing need to address the vulnerabilities associated with generative AI. Precautionary measures should be put in place to safeguard against potential threats and ensure that these technologies are scrutinized for potential misuse.

As we continue to explore the possibilities of AI, it is crucial to strike a balance between innovation and security. While generative AI brings exceptional advancements, we must mitigate its risks effectively. The responsibility lies with researchers, businesses, and policymakers alike to work collaboratively towards creating a safe and secure digital landscape.


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