Social engineering attacks have challenged cybersecurity for years. No matter how strong your digital security, authorized human users can always be manipulated into opening the door for a clever cyber attacker.
Social engineering typically involves tricking an authorized user into taking an action that enables cyber attackers to bypass physical or digital security.
One common trick is to trigger a victim’s anxiety to make them more careless. Attackers might pose as a victim’s bank, with an urgent message that their life savings are at risk and a link to change their password. But of course, the link goes to a fake bank site where the victim inadvertently reveals their real password. The attackers then use that information to steal money.
But today, we find ourselves facing new technology that may completely change the playing field of social engineering attacks: synthetic media.
What is Synthetic Media?
Synthetic media is video, sound, pictures, virtual objects or words produced or aided by artificial intelligence (AI). This includes deepfake video and audio, text-prompted AI-generated art and AI-generated digital content in virtual reality (VR) and augmented reality (AR) environments. It also includes writing AI, which can enable a foreign-language speaker to interact as an articulate native speaker.
Deepfake data is created using an AI self-training methodology called generative adversarial networks (GANs). The method pits two neural networks against each other, where one tries to simulate data based on a large sampling of real data (pictures, videos, audio, etc.), and the other judges the quality of that fake data. Each learns from the other until the data-simulating network can produce convincing ..
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