The prevalence of synthetic media is rising as a result of the development of tools that make it simple to produce and distribute convincing artificial images, videos, and music. The propagation of deepfakes increased by 900% in 2020, according to Sentinel, over the previous year.
With the rapid advancement of technology, cyber-influence operations are becoming more complex. The methods employed in conventional cyberattacks are increasingly being utilized to cyber influence operations, both in terms of overlap and extension. In addition, we have seen growing nation-state coordination and amplification.
Tech firms in the private sector could unintentionally support these initiatives. Companies that register domain names, host websites, advertise content on social media and search engines, direct traffic, and support the cost of these activities through digital advertising are examples of enablers.
Deep learning, a particular type of artificial intelligence, is used to create deepfakes. Deep learning algorithms can replace a person's likeness in a picture or video with other people's visage. Deepfake movies of Tom Cruise on TikTok in 2021 captured the public. Deepfake films of celebrities were first created by face-swapping photographs of celebrities online.
There are three stages of cyber influence operations, starting with prepositioning, in which false narratives are introduced to the public. The launch phase involves a coordinated campaign to spread the narrative through media and social channels, followed by the amplification phase, where media and proxies spread the false narrative to targeted audiences. The consequences of cyber influence operations include market manipulation, payment fraud, and impersonation. However, the most significant threat is trust and authenticity, given the increasing use of artificial media that can dismiss legitimate information as fake.
Business Can Defend Against Synthetic Media:
Deepfakes and synthetic media have become an increasing concern for organizations, as they can be used to manipulate information and damage reputations. To protect themselves, organizations should take a multi-layered approach.
- Firstly, they should establish clear policies and guidelines for employees on how to handle sensitive information and how to verify the authenticity of media. This includes implementing strict password policies and data access controls to prevent unauthorized access.
- Secondly, organizations should invest in advanced technology solutions such as deepfake detection software and artificial intelligence tools to detect and mitigate any threats. They should also ensure that all systems are up-to-date with the latest security patches and software updates.
- Thirdly, organizations should provide regular training and awareness programs for employees to help them identify and respond to deepfake threats. This includes educating them on the latest deepfake trends and techniques, as well as providing guidelines on how to report suspicious activity.
Furthermore, organizations should have a crisis management plan in place in case of a deepfake attack. This should include clear communication channels and protocols for responding to media inquiries, as well as an incident response team with the necessary expertise to handle the situation. By adopting a multi-layered approach to deepfake protection, organizations can reduce the risks of synthetic media attacks and protect their reputation and sensitive information.
