Deepfakes and the Danger They Pose for Video Support Teams

Deepfakes and the Danger They Pose for Video Support Teams
May 5, 2021

The changing dynamics of online networking platforms pose a set of critical challenges for customer support. Apart from cyber-attacks and data breaches, the most alarming cybercrime is the widespread introduction of deepfakes.

Deepfakes represent a serious concern for the future of online systems and the credibility of customer video support for modern businesses. Companies must take practical steps to ensure that their teams are well-versed in the ways to abuse the system.

One solution is working with outsourced IT support teams. Doing so provides the firm in-depth network security knowledge and cybersecurity expertise. An outsourced tech support solution helps companies to deal with the emerging threat of deepfakes in the digital market.

While video remains the most effective asset to engage and retain new customers to the brand, the real danger of deepfakes goes far beyond its prevailing detrimental usage.


Photo by Philipp Katzenberger on Unsplash

Spotting Deepfake Technology

A deepfake is the product of artificial intelligence and the unlimited scope of human creativity. Deepfake technology represents AI-generated video content. Driving this technology currently is deep learning, with machines becoming content creators in their own right.

The effect is startling. Вeepfake technology can create convincing, although entirely fictional photos from scratch, thanks to video and image manipulation. It is a collaborative result of AI algorithms, called encoder and decoder, or a generative adversarial network based on generator and discriminator AI algorithms.

Any person involved in academic and industrial research or an amateur enthusiast can generate fake video content. The software is available online for free.

You may think you won’t be fooled. You’d be incorrect. The BBC video below is a great example of how advanced this software is and how dangerous it is.

This video clearly shows how good AI is at creating a deepfake.

Is there no defense?

Vigilance is the best defense. You should never take any image or video from an external source at face value. These are some of the clear signs that help to detect a deepfake:

  • Unnatural facial expressions and positioning
  • A lack of emotions
  • Abnormal body movement
  • Unnatural coloring
  • Blurring or misalignment
  • Inconsistent sound accompaniment
  • Digital fingerprints
  • Reverse image searches
  • Speech patterns or words totally out of character for the person

The Role of Customer Video Support

Video support teams are essential tools for marketing purposes. Incorporating video into the business strategy can be particularly effective for keeping customers engaged with the brand.

Clients can easily connect with customer service agents in real-time to get the prompt solution to their queries. They can see they’re interacting with a live human being, so it’s easier to build a strong relationship.

When used mindfully, video technology can provide exceptional customer service and reduce customer churn.


Image by Markus Spiske on Unsplash

Detecting the Deepfake Threat

Live customer engagement and personalized interactions with the clients can be significantly amplified using video technologies. However, with the rapid increase of visual data manipulation and cybercrime, customer video support might face severe challenges from deepfakes.

Deepfakes pose a serious danger to the video support teams due to the following reasons:

  • Social engineering
  • Spreading misinformation
  • Scamming employees, customers, and partners
  • Online extortion

The technology behind the deepfakes calls into question the truth of the content provided. With the potential hazards of deepfake technology, customers will struggle ​to determine an objective reality, which directly impedes their loyalty and trust in the company.

Outsourced Team Solution for Protecting Data Manipulation

Decoding what’s real and what’s fake on the Internet is a high-priority concern for users of today’s digital space. Much of the focus today rests on suppressing fake news.

The impact of fake news is a concern for businesses as well. However, in the business environment, the long-term impact of the deepfake video can be devastating.

One usually believes that data one works with is accurate, but various data manipulation attacks undermine its reliability. And this is not what your consumers want. Data manipulation attacks are complex processes to identify and, therefore, they are hard to avoid.

Tech Support Solution

Outsourced technical support, including customer video support solutions, is crucial to defeating the threat of deepfake technology. Technical support specialists represent the talented teams that work day and night to achieve a superior customer experience. They are trained to ensure that your systems will be constantly supported and securely monitored to prevent them from suspicious activity, including data manipulation.

Customer video support teams focus on providing strategic planning assistance to help your company lead with a responsive and knowledgeable approach. Tech support experts assist with any case of experiencing unexpected operations with computers or networks.

Image by Lianhao Qu on Unsplash

Final Thoughts: Protecting Reputation

Eliminating the potential threats to the visual content, including deepfake videos replacing real human customer support, can get your organization back to its normal, fast-paced operations. Presenting the websites and video content free of deepfakes and data manipulation improves customer trust and enhanced satisfaction with your services.

Outsourcing your technical support is imperative to handling tech security 24/7. Such a strategy will ensure a transparent development of your business today to provide the highest number of loyal customers in the future.

Trained customer video support teams, detection models, and effective response strategy are the key to guarding your company against the dangerous threat of deepfake technology.


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