deepfakes2

[Audio] Good morning, everyone. My name is Matt, and I am your Information Security Officer. Today, we will be discussing a pressing issue that has been making headlines in the cybersecurity world - deepfakes. These are no longer just a part of science fiction, but have become a significant threat in the corporate setting. Deepfakes are created using artificial intelligence to imitate real people, usually through videos or audio. This technology utilizes deep learning, specifically generative adversarial networks (GANs) to produce highly realistic but entirely fake content. While originally developed for entertainment and research, deepfakes have evolved and are now being used as a weapon. In a corporate setting, deepfakes can be used to impersonate executives, manipulate stakeholders, or steal sensitive information. For instance, in 2019, fraudsters used an AI-generated voice of a CEO to trick an employee into transferring $243000 to a fake supplier account. This is just one example of how deepfakes can be exploited for deceitful purposes. The danger of deepfakes lies in their authenticity and ease of creation. Imagine receiving a video call or voicemail from your CFO, approving a transaction - except it's not actually them. These scams can bypass traditional red flags and exploit trust, leading to financial loss, reputational damage, and even data breaches. It's natural to wonder how to identify a deepfake. This is a valid concern as these deepfakes are becoming increasingly convincing. So, let's break it down. If it's a video, there may be visual cues that something is not quite right. For example, the person's facial expressions may not match their words, or their mouth movements may not align with their voice. Their blinking may appear abnormal, or their face may seem to be slightly floating or glitching at the edges. This is because deepfake algorithms still struggle with factors like lighting, shadows, and minor details. The best way to protect yourself and your company from falling victim to deepfake attacks is to be vigilant and alert. If something seems unusual, trust your intuition and verify the information directly with the person. Additionally, there are tools and resources available to help detect deepfakes, and it's critical to stay updated on the latest developments in this technology. In conclusion, deepfakes are a very real and growing threat that must be taken seriously..

[Audio] This is slide 2 of our presentation on the threat of deepfakes in a corporate setting. As previously discussed, deepfakes can be used to impersonate executives, manipulate stakeholders, or steal sensitive information. Their realistic appearance and ease of production make them a significant threat. However, how can we identify a deepfake? Let's examine some key factors. First, pay attention to the sound of any voice messages or phone calls. A deepfake voice may sound flat or robotic, lacking emotion and feeling as if the person is reading from a script. You may also notice unusual pauses or a peculiar way of speaking. In some cases, the background noise may be too quiet or unnaturally artificial. However, the most significant indicators are often in the behavior. Keep in mind these key factors when trying to detect a deepfake. Be skeptical of urgent requests, especially if they come in the form of a video or audio message. It is crucial to verify through secondary channels, such as a direct call, text message, or face-to-face interaction. Stay informed and report anything that feels even slightly off. In the event that you encounter a deepfake, please contact your manager or our IT Information Security Team for assistance. Deepfakes are a threat of the 21st century, but with awareness and proper procedures, we can stay ahead and protect ourselves and our company. Thank you for joining us for this presentation. Remember to stay vigilant, stay informed, and stay safe. Let's work together to defend against deepfakes. Thank you..