Quite Deep Concerns Of Deepfake Technology!

Have you heard the term "deepfake"? Well, ID R&D defines it as "rendered digital imagery–like special effects in a movie–that allow a fraudster to create realistic videos and use them to spoof biometric security."

Unfortunately, according to a recent report, Deepfakes, once considered crude and expensive, have become a rapidly rising cybersecurity threat. The ability to create compelling videos and audio recordings that can deceive people into thinking they are real has led to significant financial losses for companies. #DeepConcerningWorldOfDeepfake

However, it's not just financial losses that are concerning. The CCO of crypto company Binance reported that a "sophisticated hacking team" used video from his past TV appearances to create a believable AI hologram that tricked people into joining meetings. “Other than the 15 pounds that I gained during COVID being noticeably absent, this deepfake was refined enough to fool several highly intelligent crypto community members,” he wrote.
 
On the other hand, the same study states that the technology is still relatively new and often requires much expertise and effort to create convincing fakes. Additionally, many social media platforms and technology companies are investing in deepfake detection, making it harder for them to spread.

The FBI's March 2021 alert recommends following the SIFT approach to mitigate the risk of deepfake and other online deceptions; SIFT stands for - Stop, Investigate the source, Find trusted coverage and Trace the original content. It can include studying the issue to avoid hasty emotional reactions, resisting the urge to repost questionable material, and watching for the telltale signs of deepfakes. The feature extraction approach known as scale-invariant feature transform (SIFT), which extracts key pixel features and analyzes them, can also be used. #EveryProblemHasASolution

According to the report, presently we're witnessing a silent battle between automated deepfake detectors and emerging deepfake technology. The irony is that the technology being used to automate deepfake detection will likely be used to improve the next generation of deepfakes.
 
Nevertheless, organizations should avoid relegating security to "afterthought" status to stay ahead. Rushed security measures or a failure to understand how deepfake technology can be abused can lead to breaches and financial loss, damaged reputation and regulatory action.

The bottom line is that organizations should focus heavily on combating this new threat and training employees to be vigilant. As deepfake technology continues to evolve, it's crucial to stay ahead of the curve and be prepared to defend against it.

Do you think deepfake is 'actually' a challenge for organizations? Feel free to pitch your thoughts in the comments section below.