The primary vector for direct attacks is targeted impersonations that are designed to extract money or information. Attacks like this can cause even sophisticated operators to lose millions of dollars. For instance, U.K. engineering giant Arup lost HK$200 million (about $25 million) last year after scammers used AI-generated clones of senior executives to order money transfers. The Hong Kong police, who described the theft as one of the world’s largest deepfake scams, confirmed that fake voices and images w ...

OpenAI’s Sora 2 Can Fabricate Convincing Deepfakes on Command, Study Finds► https://t.co/KWhL5uD7Pi https://t.co/KWhL5uD7Pi ...

Open AI is working with actor Brian Cranston, the Screen Actors Guild, and other actor unions to protect against deep fakes on its video creation app, Sora. The Breaking Bad actor expressed concern after unauthorized AI generated clips using his voice and likeness appeared on the app after Sora 2 launched at the end of September. Cranston said that he's grateful to Open AAI for its policy and for improving its guard rails.Open AAI CEO Sam Alman said that the company is deeply committed to protecting perform ...

Core Insights - Deepfakes and AI-generated information are increasingly threatening companies and their executives [1] - News Corp's CEO Robert Thomson emphasizes the need for practices to mitigate these risks [1] - The role of technology and media companies is crucial in addressing the challenges posed by deepfakes [1] Group 1 - The rise of deepfakes presents a significant risk to corporate integrity and executive reputation [1] - Companies must adopt proactive measures to reduce the impact of misinformation generated by AI [1] - Collaboration among tech and media firms is essential to develop effective solutions against deepfake threats [1]

AI 视频技术与社交媒体 - OpenAI 的 Sora 2 模型驱动的新应用与 TikTok 相似，但内容完全由 AI 生成 [1][2] - 该应用允许用户上传短视频，通过 AI 技术生成用户形象和声音的深度伪造内容 [7] - 行业关注 AI 生成内容在社交媒体上的应用，以及潜在的深度伪造风险 [5][10] 内容审核与风险控制 - 该应用存在内容限制机制，可能会标记某些内容 [6] - 行业对 AI 生成内容平台的审核和监管表示担忧，尤其是在深度伪造方面 [10] 用户体验与技术局限 - 视频生成质量可能受视频拍摄质量影响，且可能出现与用户形象不符的情况 [12] - 用户可以通过文字提示控制 AI 生成视频的内容和风格 [13]

Product Overview - McAfee's Video Scam Protection, as part of Scam Detector, is designed to detect AI-manipulated audio in videos, alerting users to potential deepfakes [1] - The software leverages AMD Ryzen™ AI Pro processors' NPU to analyze and detect deepfakes locally, reducing detection time to seconds [2] - When a deepfake is detected, an alert pops up over the video, providing users with details [3] Technology and Performance - McAfee's AI models analyze and detect deepfakes locally, maximizing on-device processing [2] - The NPU processes data quickly, freeing up the CPU and GPU for other tasks [4] Strategic Partnership - AMD Ryzen™ AI PRO processors and McAfee's Scam Detector together provide advanced scam protection [4]

Threat Landscape - AI bots are evolving into digital thieves, employing tactics like phishing and deepfakes [1] - AI bots utilize exploit scans that adapt rapidly [1] Security Implications - The industry should be aware of the increasing sophistication and adaptability of AI-driven cyber threats [1]

Threat Landscape - DPRK threat actors are actively using fake Zoom links and Deepfakes to target macOS users in cryptocurrency scams [1] - These scams involve tricking users into installing malware to drain their crypto funds [1] - The crypto community needs to be well-informed to combat these persistent threats [1] Red Flags - Unexpected DMs on Telegram asking for meeting calls should raise suspicion [1] - Discrepancies in the account's behavior or Telegram handle are warning signs [1] - Be cautious of prompts to download security updates or fixes from forwarded "Zoom" links [1] - Inconsistencies in voice, visuals, or lighting during meeting calls are potential indicators of a scam [1] Security Recommendations - It's crucial to recognize that macOS is not inherently immune to malware attacks [1] - Individuals who suspect they have been targeted should seek assistance immediately [2]

Partnerships & Collaborations - Umanitek is partnering with Videntifier, a leader in detecting harmful and illegal content [1] - The collaboration aims to build the largest digital immune system to combat deepfakes and CSAM [1] Technology & Infrastructure - The initiative is powered by OriginTrail decentralized network [1] - NeuroWebAI on Polkadot provides technological support [1] Focus Area - The primary focus is on combating deepfakes and CSAM (Child Sexual Abuse Material) [1]

Cybersecurity Threats - Artificial intelligence has made generating deepfakes, fraudulent emails, and social-engineering assaults easier and quicker [1] - The new technology has worsened cybersecurity threats in two main ways [1]