A specialized tool for deepfake detection has been developed by ESET. It offers real-time monitoring, comprehensive spectrum analysis, and an easy-to-use interface, clearly explaining how it detects digital manipulations. The tool, called Deepware, uses artificial intelligence to detect falsified videos, images, and audio.
According to Mario Micucci, a cybersecurity researcher at ESET, this tool can detect inconsistencies that are invisible to the human eye, such as the fusion of boundaries and details in grayscale. Other resources are also being used to combat misinformation and the dissemination of false videos or audio, such as AI-based tools and metadata analysis.
In this regard, the importance of having increasingly advanced detection tools is emphasized, as the battle against deepfakes is an ongoing challenge in the field of cybersecurity. In the face of this growing threat, ESET has identified 10 AI tools to combat deepfakes, each with its own features and capabilities.
For example, Sentinel is a cloud solution that offers real-time deepfake detection. On the other hand, Phoneme-Viseme Mismatch identifies inconsistencies between audio and lip movements in videos. Likewise, tools like HyperVerge and Intel's FakeCatcher use AI and machine learning to verify the authenticity of media.
The phenomenon of deepfakes has experienced significant growth worldwide, with a 450% increase in Latin America over a given period. It has become a threat to sensitive sectors such as journalism, politics, entertainment, and finance. It is estimated that the market for these technologies could reach $5.134 billion by the year 2030, highlighting the urgent need to address this issue. Deepfakes have the capacity to manipulate videos, images, and audio in a way that is almost indistinguishable from reality, which poses a challenge today.
