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Published on 00/00/0000
Last updated on 00/00/0000
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INSIGHTS
5 min read
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“Mom, I'm out to dinner with Jay, and we need to settle the bill. I can't find my phone; I think I left it in the car on the way here. Could you send him $80 for my share of the dinner? I’ll send you a payment link. Also, I still owe him $400 for the concert tickets. Could you add that in as well?”
What? The FaceTime call catches me off guard. It's great to see my son, but the connection is fuzzy, and there's lots of background noise.
“Thanks, Mom! I’ve got to go look for my phone. Love you!” The call ends abruptly, and I get a text from an unfamiliar number with a link to pay $480 for my son’s dinner and concert tickets.
I pause and scrutinize the link, unsure of its legitimacy. While I, of course, want to help my son – something seems off here. What would you do? Would you send the money?
Deepfakes are synthetic media, typically videos or audio recordings, created through artificial intelligence (AI). By altering or fabricating content, deepfakes can convincingly portray real people engaging in actions or making statements they never actually made. While this technology can serve benign purposes in entertainment or education, it has also been exploited with malicious intent.
The creation of deepfakes has become increasingly accessible due to technological advancements and the widespread availability of AI tools. Numerous online platforms and software applications offer user-friendly interfaces that require minimal technical expertise, enabling individuals without a background in AI to produce realistic deepfakes.
Additionally, large datasets of images and videos, often freely available online, provide ample resources for training AI models to generate synthetic media. This ease of access poses significant challenges, lowering the barrier for creating misleading content. According to estimates from Statista’s Market Insights, the global cost of cybercrime is expected to surge over the next four years, rising from $9.22 trillion in 2024 to $13.82 trillion by 2028.
Detecting AI deepfakes requires a discerning eye and knowledge of specific indicators. While deepfakes have become more advanced, there remain distinct clues that aid in their detection. It's crucial for individuals and organizations to become familiar with these signs, which include:
Embracing skepticism and a critical mindset is essential for safeguarding against manipulated media. Cross-referencing information with reliable news sources or official organizations is crucial, and fostering a culture of investigative rigor within your team can ensure the credibility of information before dissemination. Organizations are advised to protect against AI-generated content by implementing a comprehensive program comprising the following elements:
By implementing these strategies, organizations can better protect themselves and their teams from the threats posed by AI-generated content.
As I consider my child's request for assistance, two additional text messages arrive with a link for payment. Yet another sign that something is off. My mind fills with questions:
I attempted to call back the number but received no response. I then called his phone directly, and immediately my son answered. He’s in his dorm room, studying for tomorrow’s exam. The FaceTime call I received was a deepfake. After informing the family about the incident, I contacted the police.
In an era where seeing is not always believing, awareness and vigilance are key. By staying informed about deepfake technology and its implications, individuals and business leaders can better protect their organizations and stakeholders. Remember, a proactive approach to digital security will help safeguard against the evolving threats posed by deepfakes.
For a technical deep dive, learn how deepfakes are created here.
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