{"id":57548,"date":"2024-10-31T00:00:00","date_gmt":"2024-10-31T00:00:00","guid":{"rendered":"urn:uuid:4dc03d90-284f-017a-ac09-fac067859e5e"},"modified":"2024-10-31T00:00:00","modified_gmt":"2024-10-31T00:00:00","slug":"ai-pulse-election-deepfakes-disasters-scams-more","status":"publish","type":"post","link":"https:\/\/www.threatshub.org\/blog\/ai-pulse-election-deepfakes-disasters-scams-more\/","title":{"rendered":"AI Pulse: Election Deepfakes, Disasters, Scams & more"},"content":{"rendered":"

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Source: In a 1980s sci-fi setting, a futuristic detective faces the challenge of identifying advanced cyborgs that are indistinguishable from humans. His mission to FIND these beings.<\/span><\/p>\n

Critics have warned from the get-go<\/a> that AI will eventually pose the same challenge. As it becomes more sophisticated, it will be harder and harder for people or machines to tell if a document, image, or recording is real or AI-generated.<\/p>\n

Some AI deepfakes are already difficult to detect. In September, the Chair of the U.S. Senate Foreign Relations Committee booked a video conference with someone he thought was a legitimate, known contact in Ukraine. But the email he\u2019d received was fake, and the video call\u2014which seemed to feature the real foreign official\u2014was also an AI scam. When the conversation veered into \u201cpolitically charged\u201d territory, the Chair and his team realized something was up and pulled the plug.<\/p>\n

We are all targets<\/b>
Public figures are by no means the only ones vulnerable to synthetic media scams. Trend Micro data<\/a> shared with Dark Reading<\/i> this past summer showed that 80% of consumers had seen deepfake images, 64% had seen deepfake videos, and just over a third\u201435%\u2014had been personally exposed to deepfake scams.<\/p>\n

Training people to be aware of deepfakes and other AI-generated threats is clearly essential. But as Trend\u2019s Shannon Murphy points out<\/a>, humans can\u2019t see down to the pixel level. Technology-based tools are also a must\u2014to make AI-generated content identifiable and to detect it when it doesn\u2019t identify itself.<\/p>\n

Getting AI to show itself<\/b>
On the \u2018AI identifier\u2019 side of the question, one commonly promoted technique is the use of digital watermarks: machine-detectable patterns embedded in AI-generated content. The Brookings Institute<\/a> notes these watermarks are effective but not invulnerable to tampering\u2014and can be hard to standardize while maintaining trust.<\/p>\n

Microsoft is putting something along these lines into practice with Content Credentials<\/a>, a way for creators and publishers to authenticate their work cryptographically and use metadata to certify who made something, when, and if AI was involved. The Content Credentials regime conforms to the C2PA<\/a> technical standard and can be used with photos, video, and audio content.<\/p>\n

OpenAI is concentrating more heavily on the AI detection part of the puzzle. According to Venture Beat<\/a><\/i>, the company\u2019s GPT-4o is designed to identify and stop deepfakes by detecting content from generative adversarial networks (GANs), audio and video anomaly detection, authenticating voices, and checking that audio and visual media components match up\u2014for example, that mouth movements and breaths correspond to what appears onscreen in video.<\/p>\n

The only real answer is defense in depth<\/b>
Deepfakes and other AI threats are going to continue to challenge our senses and assail our institutions. Vigilant humans, AI identifiers, and analytical AI detection technologies are all key defenses, but none of these is perfect, meaning still more needs to be done. Zero-trust models are also essential to orient organizations and processes around protecting themselves\u2014taking a \u201ctrust nothing, verify everything\u201d stance. Consider the risks before taking actions based on digital content.<\/p>\n

Combining all of the above along with legal and regulatory guardrails will provide true defense-in-depth and our best possible protection against AI-generated threats.<\/p>\n

More perspective from Trend Micro<\/span><\/p>\n

Check out these additional resources:<\/p>\n

Read More HERE<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

In the final weeks before November\u2019s U.S. election, cybersecurity experts were calling October 2024 the \u201cmonth of mischief\u201d\u2014a magnet for bad actors looking to disrupt the democratic process through AI-generated misinformation. This issue of AI Pulse looks at what can be done about deepfakes and other AI scams, and why defense-in-depth is the only way to go. Read More HERE…<\/p>\n","protected":false},"author":2,"featured_media":57549,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"colormag_page_layout":"default_layout","footnotes":""},"categories":[61],"tags":[9510,10938,9521,9511,9522,9581,9531,9535],"class_list":["post-57548","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-trendmicro","tag-trend-micro-research-articles-news-reports","tag-trend-micro-research-artificial-intelligence-ai","tag-trend-micro-research-cyber-crime","tag-trend-micro-research-cyber-threats","tag-trend-micro-research-expert-perspective","tag-trend-micro-research-mobile","tag-trend-micro-research-social-media","tag-trend-micro-research-web"],"yoast_head":"\nAI Pulse: Election Deepfakes, Disasters, Scams & more 2026 | ThreatsHub Cybersecurity News<\/title>\n<meta name=\"description\" content=\"ThreatsHub Cybersecurity News | ThreatsHub.org | Cloud Security & Cyber 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